chore: import upstream snapshot with attribution
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---
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description: Run the SkillOpt-Sleep cycle with the handoff backend — no API subprocess; this session answers the engine's model calls via prompt/answer files, in isolated fresh-context subagents
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argument-hint: "[run | dry-run] [--preferences \"...\"] (default: run)"
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allowed-tools: Bash, Read, Write, Task
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---
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# /skillopt-sleep-handoff — session-executed sleep cycle
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You are driving **SkillOpt-Sleep in handoff mode**: the Python engine runs
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every deterministic stage (harvest → mine → replay scoring → gate → stage)
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and outsources each model call (attempt / judge / reflect) to YOU via
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prompt files. No `claude -p` subprocess, no API key — the model work runs
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on this session's budget, but each prompt MUST be answered in a fresh,
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isolated context so the validation gate stays honest.
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## Requested action: $ARGUMENTS
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(If `$ARGUMENTS` is empty, treat it as `run`.)
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## The loop
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Repeat until the engine exits 0 (done) — at most 8 rounds:
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1. **Run the engine** via the bundled runner:
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```bash
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"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" <action> --backend handoff --project "$(pwd)" --scope invoked
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```
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- exit 0 → the night is complete; go to "Finish" below.
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- exit 3 → pending model calls; continue with step 2.
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- anything else → stop and show the user the error output.
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2. **Read the batch**: `Read` `.skillopt-sleep-handoff/pending.json` in the
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project. Each entry has `id`, `prompt`, `max_tokens`, `answer_file`.
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3. **Answer each prompt in ISOLATION** — this is the integrity rule:
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- For each entry, launch a subagent (Task tool) whose ENTIRE input is
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the `prompt` text verbatim. Add nothing: no summary of this session,
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no mention of SkillOpt, no other prompts from the batch.
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- Take the subagent's reply and `Write` the raw answer text (no
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commentary, no code fences) to the entry's `answer_file`.
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- NEVER answer from this session's own context — you have seen the
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mined tasks and their references, so inline answers would contaminate
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the held-out gate and fake the improvement score.
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4. **Re-run the same engine command** — it resumes from the answers
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directory and either finishes or stages the next batch.
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## Finish
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- `Read` the `report.md` in the staging dir the engine printed and show
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the user: held-out baseline → candidate score, the gate decision, the
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proposed edits, and where the proposal is staged.
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- Tell the user nothing live changed; offer `/skillopt-sleep adopt`.
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- The engine archives `.skillopt-sleep-handoff/` on a completed real run;
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do not delete it yourself.
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## Safety reminders
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- **Never** edit `CLAUDE.md` or `SKILL.md` yourself — only `adopt` does
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that, with a backup.
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- Mined tasks are pinned to `.skillopt-sleep-handoff/tasks.json` on round
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one, so sessions created while answering prompts cannot shift the task
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set. Do not edit that file.
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- If a batch looks like it contains secrets or content the user would not
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want re-processed, stop and ask before answering.
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---
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description: Run or manage the SkillOpt-Sleep self-evolution cycle (review past sessions, replay tasks offline, consolidate validated memory + skills; can also schedule nightly runs)
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argument-hint: "[run | dry-run | status | adopt | harvest | schedule | unschedule] (default: status)"
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allowed-tools: Bash, Read
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---
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# /skillopt-sleep — SkillOpt-Sleep nightly self-evolution
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You are driving **SkillOpt-Sleep**: a tool that lets this user's Claude agent
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improve offline by reviewing past sessions, replaying recurring tasks, and
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consolidating what it learns into **validated** memory (`CLAUDE.md`) and skills
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(`SKILL.md`). It is gated like SkillOpt: a change is kept only if it improves a
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held-out replay score, and nothing live is modified until the user adopts it.
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## Requested action: $ARGUMENTS
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(If `$ARGUMENTS` is empty, treat it as `status`.)
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## How to run it
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The engine is the `skillopt_sleep` Python package in this repo. Use the
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**plugin's bundled runner** so the right interpreter and repo are on the path:
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```bash
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"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" <action> --project "$(pwd)" --scope invoked
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```
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`<action>` is one of:
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| action | what it does |
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|--------------|--------------|
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| `status` | show how many nights have run + the latest staged proposal (READ-ONLY) |
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| `dry-run` | harvest → mine → replay → report, but **stage nothing** (safe preview) |
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| `run` | full cycle: also **stage** a reviewed proposal (still does NOT touch live files) |
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| `adopt` | apply the latest staged proposal to live `CLAUDE.md` / `SKILL.md` (backs up first) |
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| `harvest` | debug: print the recurring tasks mined from recent sessions |
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| `schedule` | install a nightly cron entry for this project (`--hour --minute`, off-:00 by default) |
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| `unschedule` | remove the nightly cron entry (`--all` to remove every managed entry) |
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Default backend is `mock` (deterministic, no API spend). To use real budget for
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genuine improvement, add `--backend claude` or `--backend codex`. To steer what
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the optimizer writes, add `--preferences "<your house rules>"`.
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## Steps to follow
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1. **Run the requested action** via the bundled runner above. Capture stdout.
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2. **For `run` / `dry-run`:** after it completes, `Read` the generated
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`report.md` in the staging dir it prints, and show the user:
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- held-out score: baseline → candidate (the proof it helped)
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- the gate decision (accept/reject) and the exact edits it proposes
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- where the proposal is staged
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3. **For `run` that produced an accepted proposal:** tell the user the diff is
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staged and that **nothing live changed yet**. Offer to run `/skillopt-sleep adopt`.
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4. **For `adopt`:** confirm which live files were updated and that backups were
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written under the staging dir's `backup/`.
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5. **Never** edit `CLAUDE.md` or `SKILL.md` yourself — only the `adopt` action
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does that, with a backup. Respect the review gate.
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## Safety reminders
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- Harvest is **read-only** over `~/.claude`. Replay in `mock` mode runs no
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shell side effects.
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- The cycle stages proposals; the user is in control of adoption.
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- If the user asks to schedule this nightly, point them at
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`${CLAUDE_PLUGIN_ROOT}/scripts/install-cron.sh` (prints a crontab line; does
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not install anything without confirmation).
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