chore: import upstream snapshot with attribution

docs/engineering/ask-matt.md

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+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=ask-matt
+```
+
+```bash
+npx skills update ask-matt
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/ask-matt)
+
+## What it does
+
+`ask-matt` is the router over the skills in this repo. You describe the situation you're in; it tells you which skill or flow fits and in what order to run them.
+
+It **does no work itself**. It doesn't grill, write a spec, or fix anything — it only orients. It exists for the **user-invoked** skills above all: nothing fires those for you, so *you* have to remember they exist, and `ask-matt` is the memory you offload that to. It also points at the model-invoked skills you'd reach for by name — `/tdd`, `/diagnosing-bugs`, `/prototype`, `/code-review`, and the two vocabulary references, `/domain-modeling` and `/codebase-design`. It answers "which one, and when", then hands you off to the skill that actually does the job.
+
+## When to reach for it
+
+You invoke this by typing `/ask-matt` — the agent won't reach for it on its own.
+
+Reach for it whenever you're unsure which skill or flow a situation calls for: you have an idea and don't know where to start, a pile of bug reports and don't know if they're for `/triage`, or two skills that look interchangeable and you can't tell them apart. If you already know the skill you want, skip the router and invoke it directly.
+
+## Flows, not just skills
+
+The idea `ask-matt` gives you to think with is the **flow** — a path *through* the skills rather than a single one. Most work runs along one **main flow** (idea → ship: grill → spec → tickets → implement → review), two **on-ramps** merge onto it (a triage lane for incoming bugs and requests; a codebase-health lane that generates ideas), and everything else is a **standalone** you reach for on its own. Ask a question and you get placed on the right flow, at the right step — not just handed a tool.
+
+## Where it fits
+
+`ask-matt` is the **router** — the standalone map that sits over the whole set. It is the node every other docs page links back to as [ask-matt](https://aihero.dev/skills-ask-matt), so it never sits *in* a chain; it points *into* every chain. From here you'll most often land on [grill-with-docs](https://aihero.dev/skills-grill-with-docs), the head of the main flow, or [triage](https://aihero.dev/skills-triage), the on-ramp for work you didn't create. When even the router's own picture is stale, its [Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/ask-matt) is the map of record.

docs/engineering/code-review.md

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+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=code-review
+```
+
+```bash
+npx skills update code-review
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/code-review)
+
+## What it does
+
+`code-review` reviews the diff between `HEAD` and a fixed point you supply — a commit, branch, tag, or merge-base — along two separate axes: **Standards** (does the code follow this repo's documented conventions?) and **Spec** (does it implement what the originating issue or spec asked for?). It runs each axis as its own parallel sub-agent and reports them side by side. It never merges or re-ranks the two sets of findings — keeping them separate is the whole point, because a change can pass one axis and fail the other, and a single blended verdict lets one mask the other.
+
+## When to reach for it
+
+Type `/code-review`, or the agent reaches for it automatically when you ask to review a branch, a PR, work-in-progress changes, or anything "since X".
+
+Reach for this when there is a diff to judge against a known-good point and you want the two questions — *is it built right?* and *is it the right thing?* — answered independently. It runs at the end of the build loop; for actually writing the code test-first, use [tdd](https://aihero.dev/skills-tdd), and for building a whole spec into code use [implement](https://aihero.dev/skills-implement), which runs its own `/code-review` pass before committing.
+
+## Prerequisites
+
+The **Spec** axis needs somewhere to find the originating spec — an issue reference in the commit messages, a path you pass in, or a spec under `docs/`/`specs/`. That issue-tracker wiring comes from [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills); without a spec the Spec axis simply skips and says so. The **Standards** axis needs nothing set up — it always carries a built-in Fowler smell baseline even in a repo that documents no conventions.
+
+## Two axes, never merged
+
+The defining idea is the **two axes**. **Standards** asks whether the diff conforms to how this repo writes code — its `CODING_STANDARDS.md` or `CONTRIBUTING.md`, plus a fixed baseline of ~12 Fowler code smells (Mysterious Name, Duplicated Code, Feature Envy, Data Clumps, …). Two rules keep the baseline safe: a documented repo standard always overrides it, and every smell is a judgement call, never a hard violation. **Spec** asks the orthogonal question — does the code do what the issue or spec actually asked, without missing requirements or smuggling in scope creep?
+
+They run as parallel sub-agents so neither pollutes the other's context, and the final report presents them under separate `## Standards` and `## Spec` headings with a per-axis summary. There is deliberately no single winner across axes.
+
+## It's working if
+
+- It pins and confirms the fixed point first (`git rev-parse`), failing fast on a bad ref or empty diff rather than inside the sub-agents.
+- Standards and Spec findings arrive in two distinct blocks, each citing its source — a repo standard or baseline smell for one, a quoted spec line for the other.
+- When no spec can be found, the Spec axis reports "no spec available" instead of inventing requirements.
+
+## Where it fits
+
+`code-review` is the review step at the tail of the main build chain:
+
+```txt
+grill-with-docs → to-spec → to-tickets → implement → code-review
+```
+
+Its closest neighbour is [implement](https://aihero.dev/skills-implement), which drives the build and calls this as its own review pass before committing; upstream, the spec it checks against is produced by [to-spec](https://aihero.dev/skills-to-spec) and [to-tickets](https://aihero.dev/skills-to-tickets). When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/codebase-design.md

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+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=codebase-design
+```
+
+```bash
+npx skills update codebase-design
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/codebase-design)
+
+## What it does
+
+`codebase-design` gives you a shared, precise vocabulary for designing **deep modules** — a lot of behaviour hidden behind a small interface, placed at a clean seam, testable through that interface.
+
+It is a **language, not a procedure**. It doesn't restructure your code or hand you a refactor plan — it fixes the words (module, interface, depth, seam, adapter, leverage, locality) so that every design conversation and every other skill that touches design speaks the same way. Consistent language is the whole point; "component," "service," "API," and "boundary" are deliberately banned because they blur the distinctions that matter.
+
+## When to reach for it
+
+Type `/codebase-design`, or the agent reaches for it automatically when a task fits.
+
+Reach for it when you're designing or improving a module's interface, hunting for deepening opportunities, deciding where a seam goes, or making code more testable and AI-navigable. Other skills pull it in whenever they need the deep-module vocabulary. If you want to sharpen the project's *domain* terms rather than its module design, use [domain-modeling](https://aihero.dev/skills-domain-modeling) instead; to run a whole architecture pass over an existing codebase, use [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture).
+
+## Deep, not shallow
+
+A module is **deep** when a large amount of behaviour sits behind a small interface, and **shallow** when the interface is nearly as complex as the implementation. Depth is measured as **leverage** — how much a caller (or a test) can exercise per unit of interface they have to learn. Crucially, depth is a property of the *interface*, not the implementation: a deep module can be internally composed of small, swappable parts that just never surface to callers.
+
+Two checks do most of the work. The **deletion test**: imagine deleting the module — if complexity vanishes, it was a pass-through; if it reappears across N callers, it was earning its keep. And **one adapter means a hypothetical seam; two adapters means a real one** — don't cut a seam until something actually varies across it.
+
+## The interface is the test surface
+
+Callers and tests cross the same seam, so a well-placed interface gives tests something durable to aim at while the code underneath moves freely. That's why the vocabulary insists on **seam** (Feathers' term — a place you can change behaviour without editing there) over the overloaded "boundary," and why "interface" here means *every fact a caller must know*: signatures, yes, but also invariants, ordering, error modes, and performance — not just the type-level surface.
+
+## Pulled out on purpose
+
+`codebase-design` is the **single source of truth** for the deep-module vocabulary, split out as its own model-invoked skill so anything can reach it. Other skills point at it rather than restating the words: [tdd](https://aihero.dev/skills-tdd) borrows it to place a seam before writing the test, [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture) leans on it while restructuring existing code, and [to-spec](https://aihero.dev/skills-to-spec) speaks it when it sketches seams and deepening opportunities before writing a spec.
+
+The point of keeping it standalone is that you can also reach for it on its own — as a **reference** for how to think about module design — without triggering the larger process any of those skills mandate. Fix the words once, in one place, and every design conversation inherits them.
+
+## Where it fits
+
+`codebase-design` is a **reach-for-it-anytime standalone** — the shared vocabulary layer under the engineering skills. Its closest neighbour is [domain-modeling](https://aihero.dev/skills-domain-modeling), the parallel vocabulary skill for the problem domain rather than the module structure. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/diagnosing-bugs.md

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+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=diagnosing-bugs
+```
+
+```bash
+npx skills update diagnosing-bugs
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/diagnosing-bugs)
+
+## What it does
+
+`diagnosing-bugs` runs a disciplined diagnosis loop for hard bugs and performance regressions — building a repro, minimising it, ranking hypotheses, instrumenting, then fixing with a regression test.
+
+It refuses to hypothesise before you have a **tight feedback loop** — one runnable command that already goes red on *this* bug. Reading code to build a theory before that command exists is the exact failure this skill prevents. No red-capable loop, no diagnosis.
+
+## When to reach for it
+
+Type `/diagnosing-bugs`, or the agent reaches for it automatically when a task fits — it fires on "diagnose" / "debug this", or when you report something broken, throwing, failing, or slow.
+
+Reach for it on the hard ones: the bug that resists a first glance, the intermittent flake, the regression that crept in between two known-good states. For a quick throwaway to sanity-check a design question rather than chase a defect, use [prototype](https://aihero.dev/skills-prototype) instead.
+
+## The tight loop is the skill
+
+Everything else — bisection, hypothesis-testing, instrumentation — is mechanical once you have the signal. So the skill spends disproportionate effort on Phase 1: constructing a pass/fail command that drives the actual bug code path and asserts the user's exact symptom, then **tightening** it until it is fast, deterministic, and agent-runnable. A 30-second flaky loop is barely better than none; a 2-second deterministic one is a debugging superpower.
+
+It gives you a ladder of ways to build that loop — failing test, curl script, CLI diff, headless browser, replayed trace, throwaway harness, fuzz loop, `git bisect run`, differential run — and, only as a last resort, a human-in-the-loop bash script. For non-deterministic bugs the goal isn't a clean repro but a **higher reproduction rate**: loop the trigger, parallelise, add stress until the flake is debuggable.
+
+## It's working if
+
+- It builds and runs a repro command *before* theorising — and pastes the invocation and its red output.
+- The loop asserts the symptom you actually reported, not a nearby failure.
+- Hypotheses arrive as a ranked, falsifiable list shown to you before any are tested.
+- Debug instrumentation is tagged (`[DEBUG-...]`) and grepped away before it declares done.
+
+## Where it fits
+
+`diagnosing-bugs` is a reach-for-it-anytime standalone — you drop into it the moment something is broken, and drop out once the fix and its regression test are in. Its post-mortem hands off to [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture) when the real finding is that there's no good seam to lock the bug down — the code, not the bug, is the problem. When you're unsure which skill fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/domain-modeling.md

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+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=domain-modeling
+```
+
+```bash
+npx skills update domain-modeling
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/domain-modeling)
+
+## What it does
+
+`domain-modeling` builds and sharpens a project's **ubiquitous language** as you design — challenging fuzzy terms, stress-testing relationships with concrete scenarios, and writing the glossary and decisions down the moment they crystallise.
+
+This is the **active** discipline, not the passive one. Merely reading `CONTEXT.md` to borrow its vocabulary is a one-line habit any skill can do; this skill is for when you are *changing* the model — coining a canonical term, catching a contradiction between the code and what you just said, recording a hard-to-reverse decision. And it keeps the glossary clean: `CONTEXT.md` is a glossary and nothing else — no implementation details, no spec, no scratch pad.
+
+## When to reach for it
+
+Type `/domain-modeling`, or the agent reaches for it automatically when a task fits — when you are pinning down terminology, resolving an overloaded word, or recording an architectural decision.
+
+Reach for it when the *words* are the problem: two people mean different things by "cancellation", "account" is doing three jobs, or a design conversation keeps snagging on a concept that has never been named precisely. If instead the module's *shape* is the problem — where the seam goes, how deep the interface is — use [codebase-design](https://aihero.dev/skills-codebase-design). If you want the plan itself interrogated before you build, use [grilling](https://aihero.dev/skills-grilling).
+
+## Prerequisites
+
+The skill writes into two places, both created lazily — only once there is something to record. Resolved terms go into `CONTEXT.md` at the root (or, in a multi-context repo flagged by a `CONTEXT-MAP.md`, into the per-context `CONTEXT.md`). Decisions go into `docs/adr/`. Nothing needs to exist up front; the first resolved term creates the glossary, the first real trade-off creates the ADR.
+
+## Glossary vs. ADR
+
+Two artifacts, two different bars:
+
+- **The glossary** (`CONTEXT.md`) captures language. Every time a vague term is made canonical, it's written down inline — not batched — so the shared vocabulary stays current with the conversation. It stays ruthlessly free of implementation detail.
+- **An ADR** captures a decision, and the bar is high: offered only when the choice is **hard to reverse**, **surprising without context**, and **the result of a real trade-off**. Miss any one of the three and there is no ADR. This is what keeps `docs/adr/` a record of consequential forks rather than a diary.
+
+The move that makes it click: when you state how something works, the skill cross-references the code and surfaces the contradiction — "your code cancels entire Orders, but you just said partial cancellation is possible — which is right?" The language and the code are forced to agree.
+
+## Pulled out on purpose
+
+`domain-modeling` is the **single source of truth** for building the project's ubiquitous language, split out as its own model-invoked skill so any other skill can reach it. [grill-with-docs](https://aihero.dev/skills-grill-with-docs) leans on it to record terms and decisions as a grilling session runs, [triage](https://aihero.dev/skills-triage) uses it to keep tickets in the project's own words, and [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture) reaches for it while it works.
+
+Keeping it standalone means you can also reach for it directly — as a **reference** for how to sharpen a model — without committing to the steps any of those skills mandate. The language lives in one place, and everything that needs it points there.
+
+## Where it fits
+
+`domain-modeling` is a **reach-for-it-anytime standalone** that runs *underneath* other skills as often as at a fixed step. Its closest neighbour is [codebase-design](https://aihero.dev/skills-codebase-design), because a shared language is what lets you name a deep module and its seam precisely; downstream, a settled glossary is exactly what [to-spec](https://aihero.dev/skills-to-spec) synthesises into a spec written in the project's own words. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/grill-with-docs.md

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+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=grill-with-docs
+```
+
+```bash
+npx skills update grill-with-docs
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/grill-with-docs)
+
+## What it does
+
+`grill-with-docs` interviews you relentlessly about a plan or design, one question at a time, until you and the agent reach a shared understanding — and it writes the vocabulary and decisions down as you go.
+
+The grilling **leaves a paper trail**. A plain interview sharpens your thinking and then evaporates when the session ends; this one captures each term the moment it's resolved into a `CONTEXT.md` glossary, and records the hard, one-way decisions as ADRs. The alignment survives the conversation instead of living only in your head.
+
+## When to reach for it
+
+You invoke this by typing `/grill-with-docs` — the agent won't reach for it on its own.
+
+Reach for it at the very start of a change, when the plan is still fuzzy and the domain language isn't settled, and you want to stress-test both before any code exists. If you only want the interview and don't need the artifacts, use [grilling](https://aihero.dev/skills-grilling); if the plan is already clear and you just need to pin down or record terminology, use [domain-modeling](https://aihero.dev/skills-domain-modeling). And if the change is too big to hold in one session and its route is still foggy — a greenfield project, a huge feature build — start upstream with [wayfinder](https://aihero.dev/skills-wayfinder): it charts the effort as a map of decisions, then hands back to this main flow once the way is clear.
+
+## Prerequisites
+
+This skill is stateful — it writes into your repo as it grills. Resolved terms land in a `CONTEXT.md` glossary at the root (or the relevant context's `CONTEXT.md` if a `CONTEXT-MAP.md` marks a multi-context repo), and genuinely hard-to-reverse decisions land as ADRs under `docs/adr/`. Both are created lazily — nothing exists until the first term or decision crystallises — so you don't need to scaffold anything up front, but you do need to be somewhere it's safe to write these files.
+
+## The grill
+
+The engine is a **grill**: a relentless, one-question-at-a-time walk down the design tree, resolving dependencies between decisions before moving on, with a recommended answer offered for every question. Questions the codebase can answer are answered by reading the codebase, not by asking you.
+
+What makes this variant its own skill is where the answers go. As the grill runs, fuzzy language gets sharpened into canonical terms and written to the glossary inline — not batched at the end. The glossary stays a glossary: pure vocabulary, no implementation details, no spec. ADRs are offered sparingly, only when a decision is hard to reverse, surprising without context, and the result of a real trade-off. Most sessions produce a sharper glossary and few or no ADRs, and that's the intended shape.
+
+## It's working if
+
+- It asks one question at a time and waits, rather than dumping a questionnaire.
+- Terms get written to `CONTEXT.md` the moment they resolve, in your project's own words.
+- It reaches into the codebase to answer its own questions where it can.
+- ADRs stay rare — you're not asked to rubber-stamp reversible choices.
+
+## Where it fits
+
+`grill-with-docs` is the opening step of the main build chain:
+
+```txt
+grill-with-docs → to-spec → to-tickets → implement → code-review
+```
+
+It comes first, before anything is written down as a spec: it produces the shared understanding and settled vocabulary that [to-spec](https://aihero.dev/skills-to-spec) then synthesises into a spec without re-interviewing you. Its close neighbours are [grilling](https://aihero.dev/skills-grilling), the same interview without the docs, and [domain-modeling](https://aihero.dev/skills-domain-modeling), the glossary-and-ADR discipline it drives. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/implement.md

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+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=implement
+```
+
+```bash
+npx skills update implement
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/implement)
+
+## What it does
+
+`implement` builds the work described in a spec or a set of tickets — driving it through test-driven development, typechecking, and the full test suite, then handing off to review and committing to the current branch.
+
+It does **not** decide what to build. The spec is already settled and the seams are already agreed; `implement` executes that plan rather than reopening it. It is the hands, not the head — the thinking happened upstream.
+
+## When to reach for it
+
+You invoke this by typing `/implement` — the agent won't reach for it on its own.
+
+Reach for it once the work is written down as a spec or split into tickets and you're ready to turn that into code. If the spec doesn't exist yet, write it first — for that, use [to-spec](https://aihero.dev/skills-to-spec), or [to-tickets](https://aihero.dev/skills-to-tickets) to break a spec into tickets. If you just want to build something test-first without a full spec, drop to [tdd](https://aihero.dev/skills-tdd) directly.
+
+## Pre-agreed seams
+
+The idea `implement` runs on is the **seam** — the stable interface a feature is tested at, chosen before any code is written. It doesn't invent seams mid-build; it uses the ones already picked (during [to-spec](https://aihero.dev/skills-to-spec)) and writes tests against them via [tdd](https://aihero.dev/skills-tdd). Working at pre-agreed seams is what keeps the implementation honest: the tests target something durable, so the code underneath can move without the tests moving.
+
+Around that core it keeps the loop tight — typecheck often, run single test files as it goes, run the whole suite once at the end — then closes out with a review pass and a commit to the current branch.
+
+## Where it fits
+
+`implement` is the build step near the end of the main chain, just before the review:
+
+```txt
+grill-with-docs → to-spec → to-tickets → implement → code-review
+```
+
+Reach for it after the work has been specced and sequenced, not before. Its key neighbours are [to-tickets](https://aihero.dev/skills-to-tickets), which produces the tickets — each declaring its blocking edges — that it works through, and [tdd](https://aihero.dev/skills-tdd), which it drives internally to write the tests at each seam before running its own [code-review](https://aihero.dev/skills-code-review) pass and committing. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/improve-codebase-architecture.md

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+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=improve-codebase-architecture
+```
+
+```bash
+npx skills update improve-codebase-architecture
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/improve-codebase-architecture)
+
+## What it does
+
+`improve-codebase-architecture` scans a codebase for **deepening opportunities** — places where a shallow module (an interface nearly as complex as the thing it hides) could become a deep one — presents them as a self-contained visual HTML report, then grills through whichever one you pick.
+
+It does **not** hand you a flat list of refactors. Every candidate has to pass the **deletion test** — would removing this module *concentrate* complexity behind a smaller interface, or just move it around? Only the "concentrates" cases earn a card. That filter is what stops the report from becoming generic cleanup advice.
+
+## When to reach for it
+
+You invoke this by typing `/improve-codebase-architecture` — the agent won't reach for it on its own.
+
+Reach for it as a periodic health check: every few days, or whenever a codebase has started to feel like it takes too much bouncing between small modules to understand one concept. It reads the existing architecture and proposes where to deepen it. If you already know the module you want to redesign and just need the vocabulary to think it through, use [codebase-design](https://aihero.dev/skills-codebase-design) instead — this skill is the survey that finds the candidates; that one is the design bench.
+
+## Deepening opportunities
+
+The whole skill turns on one idea: **depth**. A deep module hides a lot of functionality behind a small, stable interface; a shallow one leaks its implementation through an interface almost as wide as the code beneath it. The report hunts for shallowness — pure functions extracted only for testability while the real bugs hide in how they're called (no **locality**), modules that leak across their **seams**, concepts you can't understand without opening five files — and proposes the deepening that would fix it.
+
+It speaks in the shared design vocabulary (**module**, **interface**, **depth**, **seam**, **adapter**, **leverage**, **locality**) and in your project's own domain language from `CONTEXT.md`, so a candidate reads as "deepen the Order intake module," never "refactor the FooBarHandler."
+
+## The report, then the grill
+
+The output is a browser-ready HTML file written to your OS temp directory — nothing lands in the repo. Each candidate is a card with the files involved, the friction, a plain-English solution, the benefit in terms of locality and leverage, a before/after diagram, and a `Strong` / `Worth exploring` / `Speculative` badge. It closes with the one it would tackle first.
+
+Then it stops and asks which one you want to explore. Pick one and it runs the [grilling](https://aihero.dev/skills-grilling) loop over that design — constraints, what sits behind the seam, which tests survive — updating the domain model inline as decisions crystallise.
+
+## Where it fits
+
+`improve-codebase-architecture` is **periodic maintenance** — run it every few days, not as a step in a chain. Its neighbours are [codebase-design](https://aihero.dev/skills-codebase-design), which owns the depth-and-seam vocabulary every candidate is written in, [grilling](https://aihero.dev/skills-grilling), which walks the design tree once you've chosen a candidate, and [domain-modeling](https://aihero.dev/skills-domain-modeling), which keeps `CONTEXT.md` and the ADRs current as the redesign settles. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/prototype.md

@@ -0,0 +1,42 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=prototype
+```
+
+```bash
+npx skills update prototype
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/prototype)
+
+## What it does
+
+`prototype` builds a small, disposable program whose only job is to answer one design question — does this state model feel right, or what should this UI look like.
+
+The code is **throwaway from day one**, and marked as such. It carries no tests, no error handling beyond what makes it run, no abstractions, and no persistence. The point is to learn something fast and then delete it — so the moment you start hardening it, you've stopped prototyping.
+
+## When to reach for it
+
+Type `/prototype`, or the agent reaches for it automatically when a task fits.
+
+Reach for it when you have a design question that's hard to settle on paper — a state machine with cases you can't hold in your head, or a screen you can't picture until you see a few versions side by side. If instead something already built is misbehaving and you need to find out why, use [diagnosing-bugs](https://aihero.dev/skills-diagnosing-bugs); prototyping explores what to build, not why the built thing is broken.
+
+## Two branches
+
+The question decides the shape, and there are two shapes:
+
+- **"Does this logic / state model feel right?"** — a tiny interactive terminal app that pushes the state machine through the awkward cases, printing the full state after every action so you can watch what changes.
+- **"What should this look like?"** — several radically different UI variations on one route, switchable from a floating bar, so you compare real renders instead of imagining them.
+
+Picking the wrong branch wastes the whole prototype, so the question comes first. Both branches keep state in memory, run from one command, and surface the full state on every step.
+
+## Keep the prototype as a primary source
+
+A finished prototype leaves two things. The **answer** — the verdict plus the question it settled — is what you capture durably (a commit message, an ADR, an issue). The **prototype itself is a primary source** — the runnable evidence the answer came from.
+
+The prototype doesn't belong in the main branch: no tests, no error handling, nothing to maintain. But that's not a reason to destroy it. Once the answer is captured, fold any validated decision into the real code, then capture the prototype on a throwaway branch — out of main, never merged — and leave a context pointer to it on the implementation issue. The main branch stays clean; the raw exploration stays one click away for anyone who wants to re-run it. A prototype left rotting in the main branch has outlived its purpose — a prototype captured as a primary source on a side branch hasn't.
+
+## Where it fits
+
+`prototype` is a reach-for-it-anytime standalone: you drop into it to resolve a design question, then drop back out. Its answer often feeds the next step — a validated state model or UI direction becomes settled input for [to-spec](https://aihero.dev/skills-to-spec) to write up, or an architectural decision worth recording via [domain-modeling](https://aihero.dev/skills-domain-modeling). When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/research.md

@@ -0,0 +1,29 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=research
+```
+
+```bash
+npx skills update research
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/research)
+
+## What it does
+
+`research` answers a question by reading the sources that own the answer and leaving a cited Markdown file behind. It works only from **primary sources** — official docs, source code, specs, first-party APIs — never a secondary write-up of them, so what it saves is traceable back to something authoritative rather than a summary of a summary.
+
+## When to reach for it
+
+Type `/research`, or the agent reaches for it automatically when a task turns into reading legwork.
+
+Reach for it when the next step is *finding something out* — how an API behaves, what a spec actually says, whether a claim holds — and you'd rather not stall your own thread doing the reading. For sharpening a plan by interview instead of by reading, use [grilling](https://aihero.dev/skills-grilling); for exploring what to build with throwaway code, use [prototype](https://aihero.dev/skills-prototype).
+
+## Delegated legwork
+
+The defining move is that the reading runs as a **background agent**. You keep working; it goes off, follows each claim back to its primary source, and drops a single cited Markdown file into wherever the repo keeps such notes. Research is legwork you delegate, not thinking you outsource — you get back a document to react to, with its sources attached.
+
+## Where it fits
+
+A reach-for-it-anytime standalone that feeds the thinking skills: the file it produces is something to grill, plan, or design against, so it sits upstream of work like [grilling](https://aihero.dev/skills-grilling) and [to-prd](https://aihero.dev/skills-to-prd) rather than in the build chain. For the whole map, see [ask-matt](https://aihero.dev/skills-ask-matt).

docs/engineering/resolving-merge-conflicts.md

@@ -0,0 +1,40 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=resolving-merge-conflicts
+```
+
+```bash
+npx skills update resolving-merge-conflicts
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/resolving-merge-conflicts)
+
+## What it does
+
+`resolving-merge-conflicts` works through an in-progress git merge or rebase conflict, hunk by hunk, and finishes the operation — resolved, checked, and committed.
+
+It resolves by **intent**, not by text. Before touching a hunk it traces each side back to its **primary source** — the commit message, the PR, the original issue — to understand why the change was made, then preserves both intents where they're compatible. It never invents new behaviour to paper over a clash, and it never reaches for `--abort`: the merge always gets finished.
+
+## When to reach for it
+
+Type `/resolving-merge-conflicts`, or the agent reaches for it automatically when a task fits.
+
+Reach for this when you're mid-merge or mid-rebase and git has stopped on conflicts it can't resolve itself. It's for the conflict in front of you — not for planning the merge or for debugging behaviour that broke afterwards. If the merge is done but something's now failing for reasons you can't see, use [diagnosing-bugs](https://aihero.dev/skills-diagnosing-bugs) instead.
+
+## Resolving by intent
+
+The trap in a conflict is treating it as a text problem — picking "ours" or "theirs" to make the markers go away. This skill treats it as an **intent** problem. Each side of a hunk exists because someone wanted something; the resolution has to honour both wants where it can, and where they're genuinely incompatible, pick the one that matches the merge's stated goal and note the trade-off out loud.
+
+That's why the primary sources matter. You can't preserve an intent you haven't read, so the work starts in the history — commits, PRs, tickets — not in the diff.
+
+## It's working if
+
+- Each resolved hunk keeps both sides' behaviour, or names the trade-off where it couldn't.
+- No new behaviour appears that wasn't on either branch.
+- The project's own checks — typecheck, tests, format — are found and run green before the commit.
+- The merge or rebase is carried all the way to a finished commit, never aborted.
+
+## Where it fits
+
+A reach-for-it-anytime standalone: you invoke it at the moment a merge or rebase stalls, and it hands you back a clean, committed tree. Its natural neighbour is [diagnosing-bugs](https://aihero.dev/skills-diagnosing-bugs), because a merge that resolves cleanly but misbehaves afterwards is a diagnosis problem, not a conflict one. When you're unsure which skill fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/setup-matt-pocock-skills.md

@@ -0,0 +1,43 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=setup-matt-pocock-skills
+```
+
+```bash
+npx skills update setup-matt-pocock-skills
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/setup-matt-pocock-skills)
+
+## What it does
+
+`setup-matt-pocock-skills` teaches one repo how the engineering skills should behave in it — where issues live, what the triage labels are called, and where the domain docs sit — and records those answers as **config** the other skills read.
+
+It writes config, it does not hard-code behaviour. The engineering chain assumes three files under `docs/agents/` exist; this skill is the one-time bootstrap that produces them, discovered from your actual repo (`git remote`, existing labels, existing `CONTEXT.md`) and confirmed with you rather than guessed. It is prompt-driven — explore, present what it found, confirm, then write — not a deterministic scaffold.
+
+## When to reach for it
+
+You invoke this by typing `/setup-matt-pocock-skills` — the agent won't reach for it on its own.
+
+Reach for it **once per repo, before the first use of any other engineering skill**. If [triage](https://aihero.dev/skills-triage), [to-spec](https://aihero.dev/skills-to-spec), or [to-tickets](https://aihero.dev/skills-to-tickets) start guessing where your issues live or applying labels that don't exist, they haven't been set up here yet. Re-run it only to switch issue trackers or start over — day-to-day tweaks are just edits to `docs/agents/*.md`.
+
+## The three decisions
+
+It leads each with a recommended answer you can accept in a word, and skips whatever it can already infer — so most runs are a couple of quick confirmations:
+
+- **Issue tracker** — where work is tracked, so `triage`/`to-spec`/`to-tickets` know whether to call `gh`, `glab`, write markdown under `.scratch/`, or follow a workflow you describe. GitHub, GitLab, local markdown, or other. (It proposes the one that matches your `git remote`.)
+- **Triage labels** — asked only if the `triage` skill is installed, and then just: keep the default labels (`needs-triage`, `needs-info`, `ready-for-agent`, `ready-for-human`, `wontfix`)? Say no only if your tracker already uses other names, so `triage` applies real ones instead of creating duplicates.
+- **Domain docs** — assumed single-context (one `CONTEXT.md` + `docs/adr/` at the root), which fits almost every repo; it only raises a multi-context map when it spots monorepo signals.
+
+The output is a set of files under `docs/agents/` — `issue-tracker.md`, `domain.md`, and `triage-labels.md` when `triage` is installed — plus an `## Agent skills` block pointing to them in whichever of `CLAUDE.md` / `AGENTS.md` the repo already uses. Those files are the shared substrate the rest of the toolkit stands on.
+
+## It's working if
+
+- `issue-tracker.md` and `domain.md` land under `docs/agents/` (plus `triage-labels.md` when `triage` is installed), and an `## Agent skills` section appears in your `CLAUDE.md` or `AGENTS.md`.
+- The tracker it proposes matches your real `git remote`, and the labels match strings that already exist in your repo.
+- Afterwards, `triage` and `to-tickets` act on the right place with the right labels instead of asking or guessing.
+
+## Where it fits
+
+`setup-matt-pocock-skills` is a **run-once setup** — the foundation the whole engineering set stands on, not a step you repeat. Its neighbours are the skills that read what it writes: [triage](https://aihero.dev/skills-triage), because it applies the label vocabulary configured here, and [to-spec](https://aihero.dev/skills-to-spec) / [to-tickets](https://aihero.dev/skills-to-tickets), because they publish into the issue tracker configured here. Run it first; everything downstream assumes it has. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/tdd.md

@@ -0,0 +1,47 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=tdd
+```
+
+```bash
+npx skills update tdd
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/tdd)
+
+## What it does
+
+`tdd` builds a feature or fixes a bug test-first, one behaviour at a time, driving the code out through a red-green loop.
+
+It will **not** write all the tests up front. Batching the tests first ("horizontal slicing") produces tests of _imagined_ behaviour — they check the shape of things and go numb to real changes. `tdd` instead takes vertical slices: one test, then just enough code to pass it, then the next test, each cycle informed by what the last one taught you. Tests target public interfaces only, so the implementation underneath can change without the tests moving.
+
+## When to reach for it
+
+Type `/tdd`, or the agent reaches for it automatically when a task fits — building a feature or fixing a bug test-first, or when you say "red-green-refactor".
+
+Reach for it when there's a concrete behaviour to build and you want tests that survive a refactor. If the behaviour isn't pinned down yet, settle the spec first — for that, use [to-spec](https://aihero.dev/skills-to-spec). When the work is really about the shape of the interface rather than the tests, use [codebase-design](https://aihero.dev/skills-codebase-design); `tdd` calls into it for the deep-module vocabulary during planning.
+
+## Red-green, one slice at a time
+
+The leading idea is the **red-green loop**: write one failing test (red), add just enough code to pass it (green), then repeat for the next behaviour — each cycle informed by what the last one taught you. The very first cycle is a **tracer bullet**: one test that proves a single path works end-to-end, before you build outward from it. Because you just wrote the code, you know exactly which behaviour matters and how to verify it — you never outrun your headlights by committing to test structure you don't yet understand.
+
+Two rules keep the tests honest. A good test reads like a specification ("user can checkout with valid cart") and exercises real code paths through the public API, so renaming an internal function never breaks it. And expected values come from an independent source of truth — a known-good literal, a worked example, the spec — never recomputed the way the code computes them, which is how a **tautological** test passes by construction and tells you nothing.
+
+Refactoring only happens once the suite is green; never while red.
+
+## It's working if
+
+- It writes one test, gets it passing, and only then writes the next — not a batch of tests followed by a batch of code.
+- The tests name behaviours, not internals, and would survive an internal rename.
+- Expected values are literals from the spec, not figures derived the same way the code derives them.
+
+## Where it fits
+
+`tdd` is the red-green loop the main build chain runs to write code:
+
+```txt
+grill-with-docs → to-spec → to-tickets → implement → code-review
+```
+
+[implement](https://aihero.dev/skills-implement) is the chain's build step, and it drives `tdd` internally to build each ticket test-first before handing off to [code-review](https://aihero.dev/skills-code-review) — so `tdd` is the engine inside that step rather than a step of its own. You can also reach for it directly, whenever there's a concrete behaviour to build without a full spec. Its other neighbour is [codebase-design](https://aihero.dev/skills-codebase-design), which it leans on to find deep-module seams worth testing at. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/to-spec.md

@@ -0,0 +1,59 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=to-spec
+```
+
+```bash
+npx skills update to-spec
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/to-spec)
+
+## What it does
+
+`to-spec` turns the current conversation and your codebase understanding into a spec (you may know this document as a PRD), then publishes it to your issue tracker.
+
+It does **not** interview you again. By the time you reach for it, the alignment work is done — `to-spec` synthesises what is already known rather than asking a fresh round of questions.
+
+## When to reach for it
+
+You invoke this by typing `/to-spec` — the agent won't reach for it on its own.
+
+Reach for it once a change has been talked through and the domain language is settled, and you want that shared understanding written down before any code is written. If you *haven't* aligned yet, grill first — for that, use [grill-with-docs](https://aihero.dev/skills-grill-with-docs). To split the finished spec into tickets, use [to-tickets](https://aihero.dev/skills-to-tickets).
+
+## Prerequisites
+
+`to-spec` publishes into your issue tracker, so [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills) must have configured the tracker and triage labels for this repo first. It applies the `ready-for-agent` label itself — no separate triage pass needed.
+
+## What the spec includes
+
+- **Problem statement** — what is broken or missing, and why it's worth solving, in the project's own vocabulary.
+- **Solution** — the shape of the fix at a high level, before any implementation detail.
+- **User stories** — an extensive, numbered list of the concrete behaviours the change must support, each one independently checkable.
+- **Implementation decisions** — the choices already settled during the conversation, so they aren't relitigated later.
+- **Testing decisions** — the seams the feature will be tested at, and what "done" looks like.
+- **Out-of-scope items** — what this change deliberately does *not* cover, to keep the ticket bounded.
+- **Further notes** — anything else worth carrying forward that doesn't fit the sections above.
+
+## Deep modules
+
+Before writing the spec, `to-spec` sketches the **seams** at which the feature will be tested and looks for **deep module** opportunities — a lot of functionality hidden behind a small, stable interface. It prefers existing seams to new ones and the highest seam possible, ideally just one across the whole change.
+
+That matters for agentic development: a good interface gives tests something durable to target, so the code underneath can change without the tests moving.
+
+## It's working if
+
+- It starts writing the spec instead of asking you a fresh round of questions.
+- It checks the seams with you before writing, and proposes as few as possible.
+- The spec comes back in your project's domain vocabulary, not generic boilerplate.
+
+## Where it fits
+
+`to-spec` is a step in the main build chain:
+
+```txt
+grill-with-docs → to-spec → to-tickets → implement → code-review
+```
+
+Reach for it after the plan and domain language are resolved, and before you break the work into implementation tickets. Its key neighbours are [grill-with-docs](https://aihero.dev/skills-grill-with-docs), which sharpens the context so the spec is precise, and [to-tickets](https://aihero.dev/skills-to-tickets), which turns the spec into a set of tickets for [implement](https://aihero.dev/skills-implement) to build. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/to-tickets.md

@@ -0,0 +1,56 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=to-tickets
+```
+
+```bash
+npx skills update to-tickets
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/to-tickets)
+
+## What it does
+
+`to-tickets` breaks a plan, spec, or the current conversation into a set of **tickets** — each a tracer-bullet vertical slice — and publishes them to your configured tracker, with every ticket declaring the tickets that block it.
+
+Every ticket is a **tracer bullet** — a thin *vertical* slice that cuts through all integration layers end-to-end (schema, API, UI, tests), never a horizontal slice of one layer. A completed slice is demoable or verifiable on its own, which is what makes each ticket safe to hand to an agent.
+
+## When to reach for it
+
+You invoke this by typing `/to-tickets` — the agent won't reach for it on its own.
+
+Reach for it once you have an agreed plan or a written spec and you want it split into tickets. Point it at the conversation, or pass a spec or issue reference and it fetches the body and comments first. If the change hasn't been written up as a spec yet, produce one first — for that, use [to-spec](https://aihero.dev/skills-to-spec).
+
+## Prerequisites
+
+`to-tickets` publishes into your issue tracker, so [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills) must have configured the tracker and its triage label vocabulary for this repo first. On a real tracker it applies the ready-for-agent label as it publishes.
+
+## One artifact, two readings
+
+The blocking edges are the whole point. They make one set of tickets read two ways, depending on the tracker:
+
+- **Local files** → one file per ticket under `.scratch/<feature>/issues/`, numbered blockers-first, the edges written as text. You work them top-to-bottom, by hand, staying in the loop.
+- **A real tracker (GitHub, Linear)** → one issue per ticket, the edges as native blocking links (or sub-issues). Any ticket whose blockers are all done is on the **frontier** and can be grabbed — so several agents can run at once.
+
+The edges live in the ticket regardless of medium; the medium only decides whether anything acts on them in parallel. `to-tickets` produces the artifact — how you run it (sequential by hand, or a parallel fleet) is up to you.
+
+## Vertical slices, not horizontal ones
+
+The whole skill turns on one distinction. A **horizontal** slice ships one layer of the change — all the schema, or all the API — and nothing works until every layer lands. A **vertical** slice, the tracer bullet, ships one narrow path through *every* layer at once, so it can be demoed the moment it's done.
+
+Before slicing, `to-tickets` looks for prefactoring — "make the change easy, then make the easy change" — and orders that work first. It then quizzes you on the breakdown (granularity, blocking edges, what to merge or split) before publishing anything, and publishes blockers first so each ticket's "Blocked by" can reference a real ticket.
+
+## The wide-refactor exception
+
+One shape breaks the tracer-bullet rule: a **wide refactor** — a single mechanical change (rename a column, retype a shared symbol) whose **blast radius** fans across the whole codebase, so one edit breaks thousands of call sites at once and no vertical slice can land green. `to-tickets` slices it as **expand–contract** instead: expand (add the new form beside the old so nothing breaks), migrate (move call sites over in batches sized by blast radius, one ticket per batch, CI green throughout because the old form still exists), then contract (delete the old form once no caller remains). When even the batches can't stay green alone, they share an integration branch that all block a final integrate-and-verify ticket, and green is promised only there.
+
+## Where it fits
+
+`to-tickets` is a step in the main build chain:
+
+```txt
+grill-with-docs → to-spec → to-tickets → implement → code-review
+```
+
+It sits between [to-spec](https://aihero.dev/skills-to-spec), which hands it a settled spec with user stories to slice against, and [implement](https://aihero.dev/skills-implement), which builds each ticket, driving [tdd](https://aihero.dev/skills-tdd) internally to write the tests test-first, before its [code-review](https://aihero.dev/skills-code-review) pass. Work the frontier one ticket per fresh context, clearing between them. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/triage.md

@@ -0,0 +1,46 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=triage
+```
+
+```bash
+npx skills update triage
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/triage)
+
+## What it does
+
+`triage` moves issues on your project's tracker through a small **state machine** of triage roles — categorise them, verify the claim, grill them into shape if needed, and leave a ready-for-agent brief.
+
+It never labels blind. Every triaged item carries exactly one **category** role (`bug` / `enhancement`) and one **state** role (`needs-triage`, `needs-info`, `ready-for-agent`, `ready-for-human`, `wontfix`), and it *recommends and waits* — it tells you its category and state call with reasoning, then acts only on your direction. Before anything is promoted to `ready-for-agent`, it verifies the claim first: a bug gets reproduced, a PR gets checked out and run.
+
+## When to reach for it
+
+You invoke this by typing `/triage` and describing what you want in natural language — the agent won't reach for it on its own. "Show me anything that needs my attention", "let's look at #42", "move #42 to ready-for-agent".
+
+Reach for it when your issue tracker has raw, unevaluated reports and you want them sorted, verified, and turned into work an agent or human can pick up. To turn a settled conversation into a fresh spec instead, use [to-spec](https://aihero.dev/skills-to-spec); to split an existing spec into tickets, use [to-tickets](https://aihero.dev/skills-to-tickets). `triage` is the reverse direction — it processes what's *already* landed in the tracker.
+
+## Prerequisites
+
+`triage` reads and writes your issue tracker, so [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills) must have configured the tracker and the label mapping first. The role names above are **canonical** — the actual label strings in your tracker may differ, and that mapping is what setup provides. The config also decides whether external PRs count as a request surface, and who counts as external.
+
+## A PR is an issue with attached code
+
+Where the tracker treats external pull requests as a request surface, `triage` runs them through the *same* machine: same category roles, same states, same transitions — the states just read against the diff instead of a report. `ready-for-agent` means a brief is attached and an agent should take the next step on the code; `ready-for-human` means it's ready to merge. Discovery surfaces only external PRs, but an explicitly named PR is always triaged regardless of author.
+
+## Verify before you brief
+
+The step that separates `triage` from ad-hoc labelling is verification. It reproduces the bug from the reporter's steps, or checks out the PR and runs the tests, and reports back: confirmed with a code path, failed, or insufficient detail (which is itself a strong `needs-info` signal). It also runs two codebase checks — **redundancy** (is this already implemented? then it's a `wontfix`) and **prior rejection** (does `.out-of-scope/` already say no?). A confirmed verification makes a far stronger agent brief; guessing does not.
+
+## It's working if
+
+- Every item it touches ends with exactly one category role and one state role — never zero, never two conflicting states.
+- It hands you a recommendation with reasoning and waits, rather than relabelling on its own.
+- Bugs get reproduced and PRs get run before anything reaches `ready-for-agent`.
+- Every comment it posts to the tracker opens with the `> *This was generated by AI during triage.*` disclaimer.
+
+## Where it fits
+
+`triage` is the **periodic maintenance** pass over your issue tracker — run it whenever reports pile up, to keep the queue sorted and the `ready-for-agent` column trustworthy. It sits at the front of the tracker, upstream of the build chain: the briefs it writes are what [tdd](https://aihero.dev/skills-tdd) later picks up to implement. When a request needs sharpening it leans on [grilling](https://aihero.dev/skills-grilling) and [domain-modeling](https://aihero.dev/skills-domain-modeling) to grill it into shape one question at a time. Its close neighbour is [to-spec](https://aihero.dev/skills-to-spec), which populates the tracker from a fresh conversation where `triage` processes what's already there. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/engineering/wayfinder.md

@@ -0,0 +1,44 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=wayfinder
+```
+
+```bash
+npx skills update wayfinder
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/wayfinder)
+
+## What it does
+
+`wayfinder` takes an effort too big for one agent session — wrapped in fog, where the way from here to the goal isn't visible yet — and charts it as a **shared map** of investigation tickets on your issue tracker, then resolves them one at a time until the way is clear. It **plans, it doesn't do**: every ticket resolves a decision, and the map is done when nothing is left to decide before someone goes and builds the thing — so it produces decisions, not deliverables.
+
+## When to reach for it
+
+You invoke this by typing `/wayfinder` — the agent won't reach for it on its own.
+
+Reach for it when an effort is **more than one agent session can hold** and the route to its **destination** is still foggy — you can feel the shape of the work but can't yet write it down as a spec or a plan. For turning an *already-clear* thread into a spec, use [to-spec](https://aihero.dev/skills-to-spec); for slicing an already-understood plan into buildable tickets, use [to-tickets](https://aihero.dev/skills-to-tickets). Wayfinder sits upstream of both: it's what you run when there's too much fog to spec directly.
+
+## Prerequisites
+
+The map and its tickets live on the repo's issue tracker, so wayfinder needs the tracker wiring that [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills) lays down — it seeds a "Wayfinding operations" section describing how the map, child tickets, blocking, and frontier queries are expressed for GitHub, GitLab, or local-markdown. Absent that doc, wayfinder defaults to a local-markdown map.
+
+## The map is an index, fog is the frontier
+
+The **map** is a single `wayfinder:map` issue whose tickets are its child issues — one shared URL the whole team can watch. It's an **index, not a store**: each decision lives in exactly one place (its ticket), and the map only gists and links, never restates. A session loads the map at low resolution and zooms into individual tickets on demand.
+
+Beyond the live tickets lies the **fog of war** — decisions you can tell are coming but can't yet pin down. The test for whether something is a ticket or still fog is whether you can *state the question precisely now*, not whether you can answer it. Resolving a ticket clears the fog ahead of it, **graduating** whatever's now specifiable into fresh tickets. The **frontier** is the open, unblocked, unclaimed tickets — the edge of the known — and it's what the tracker's native blocking renders visually, so you see what's takeable without opening the map. Fog only gathers *toward* the **destination**; work past it is ruled **out of scope**, closed, never graduating.
+
+Every ticket is **HITL** (human in the loop — grilling, prototype) or **AFK** (agent alone — research); a HITL ticket only resolves through a live exchange, so the agent never answers its own questions.
+
+## It's working if
+
+- Naming the **destination** is the first act — before any ticket exists — because it fixes the scope every ticket is measured against.
+- One map is one `wayfinder:map` issue; tickets are its child issues, referred to by **name**, never a bare `#42`.
+- A session resolves **at most one ticket**, records the answer as a resolution comment, closes the ticket, and appends a one-line pointer to *Decisions so far*.
+- If the opening grill surfaces **no fog**, it stops and tells you the journey is small enough to skip the map.
+
+## Where it fits
+
+`wayfinder` is a big-idea **on-ramp**: an effort too large and foggy to spec in one sitting generates a cleared map of decisions, which then merges onto the main build flow. When the fog is pushed back and the way is clear, hand off to [to-spec](https://aihero.dev/skills-to-spec) to schedule the multi-session build (or, if the effort turned out small, implement directly). It leans on [grilling](https://aihero.dev/skills-grilling) and [domain-modeling](https://aihero.dev/skills-domain-modeling) to resolve individual tickets, and on [prototype](https://aihero.dev/skills-prototype) and [research](https://aihero.dev/skills-research) for the ticket types that need them. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.