chore: import upstream snapshot with attribution

2026-07-13 12:24:16 +08:00
commit 4b92209caa
317 changed files with 67848 additions and 0 deletions
@@ -0,0 +1,26 @@
+{
+  "$schema": "https://anthropic.com/claude-code/marketplace.schema.json",
+  "name": "skillopt-sleep",
+  "description": "SkillOpt-Sleep: give your local Claude agent a nightly sleep cycle that reviews past sessions and consolidates validated memory + skills.",
+  "owner": {
+    "name": "Yifan Yang",
+    "email": "yifanyang@microsoft.com"
+  },
+  "plugins": [
+    {
+      "name": "skillopt-sleep",
+      "description": "Nightly offline self-evolution: harvest your past Claude Code sessions, replay recurring tasks on your own API budget, and consolidate what the agent learns into validated CLAUDE.md memory and SKILL.md skills, behind a held-out gate, staged for your review. Synthesizes SkillOpt (validation-gated skill optimization), Claude Dreams (offline memory consolidation), and agent sleep/consolidation.",
+      "author": {
+        "name": "Yifan Yang"
+      },
+      "category": "productivity",
+      "source": {
+        "source": "git-subdir",
+        "url": "https://github.com/microsoft/SkillOpt.git",
+        "path": "plugins/claude-code",
+        "ref": "main"
+      },
+      "homepage": "https://github.com/microsoft/SkillOpt"
+    }
+  ]
+}
@@ -0,0 +1,22 @@
+{
+  "name": "skillopt-sleep",
+  "description": "Give your local Claude agent a nightly 'sleep cycle': it reviews your past sessions offline, replays recurring tasks on your own API budget, and consolidates what it learns into validated memory (CLAUDE.md) and skills (SKILL.md) so it gets better the more you use it. Synthesizes SkillOpt (validation-gated skill optimization), Claude Dreams (offline memory consolidation), and agent sleep/consolidation.",
+  "version": "0.1.0",
+  "author": {
+    "name": "Yifan Yang",
+    "email": "yifanyang@microsoft.com"
+  },
+  "homepage": "https://github.com/microsoft/SkillOpt",
+  "repository": "https://github.com/microsoft/SkillOpt",
+  "license": "MIT",
+  "keywords": [
+    "skillopt",
+    "self-improvement",
+    "memory-consolidation",
+    "dreams",
+    "sleep",
+    "skills",
+    "continual-learning",
+    "offline-optimization"
+  ]
+}
@@ -0,0 +1,161 @@
+# SkillOpt-Sleep (Claude Code plugin)
+
+> Give your local Claude agent a **sleep cycle**. Every night it reviews your
+> past sessions offline, replays your recurring tasks on your own API budget,
+> and consolidates what it learns into **validated** memory (`CLAUDE.md`) and
+> skills (`SKILL.md`). Your agent gets better the more you use it — no
+> model-weight training.
+
+SkillOpt-Sleep is the **deployment-time** companion to
+[SkillOpt](https://github.com/microsoft/SkillOpt). SkillOpt trains a skill
+offline on a benchmark; SkillOpt-Sleep applies the same discipline to *your own
+daily usage*: bounded text edits, accepted only through a held-out validation
+gate, with rejected edits kept as negative feedback.
+
+It synthesizes three ideas:
+
+| Idea | Contribution |
+|---|---|
+| **SkillOpt** | skill/memory = trainable text; bounded add/delete/replace edits; **held-out gate** keeps only changes that help. |
+| **Claude Dreams** | offline consolidation over past sessions; input never mutated; output **reviewed then adopted**. |
+| **Agent sleep** | periodic offline replay turns short-term episodes into long-term skill. |
+
+## What it does (one "night")
+
+```
+harvest ~/.claude transcripts → mine recurring tasks → replay offline
+   → consolidate (reflect → bounded edit → GATE) → stage proposal → (you) adopt
+```
+
+Nothing live is modified until **you** run `/skillopt-sleep adopt` (the Dreams "review,
+then adopt or discard" contract). Every adopt backs up the prior file first.
+
+## Install
+
+**Requirements:** Python ≥ 3.10, and the `claude` CLI (and/or `codex` CLI) on PATH.
+
+```bash
+# 1) get the code (the plugin ships inside the SkillOpt repo)
+git clone https://github.com/microsoft/SkillOpt.git
+cd SkillOpt
+
+# 2) add the plugin to Claude Code as a local marketplace
+/plugin marketplace add ./skillopt-sleep-plugin
+/plugin install skillopt-sleep@skillopt-sleep
+
+# 3) verify
+/skillopt-sleep status
+```
+
+The plugin's bundled runner (`scripts/sleep.sh`) auto-selects a Python ≥ 3.10
+interpreter and calls the `skillopt_sleep` engine in the repo. No `pip install`
+is required for the default `mock` backend or for `claude`/`codex` backends —
+they shell out to the CLIs you already have.
+
+## Quick start
+
+```bash
+# from inside any project you use with Claude Code:
+/skillopt-sleep dry-run     # safe preview: what it would learn, no changes staged
+/skillopt-sleep run         # full cycle: stages a reviewed proposal (still no live edits)
+/skillopt-sleep status      # see history + the latest staged proposal
+/skillopt-sleep adopt       # apply the staged proposal to CLAUDE.md / SKILL.md (with backup)
+
+/skillopt-sleep-handoff run # same cycle, but THIS session answers the model calls
+                            # (no claude -p subprocess, no API key — subscription-friendly)
+```
+
+Or call the engine directly (Python ≥ 3.10):
+
+```bash
+python -m skillopt_sleep run --project "$(pwd)" --scope invoked --backend mock
+python -m skillopt_sleep run --project "$(pwd)" --backend claude   # real lift via Claude
+python -m skillopt_sleep run --project "$(pwd)" --backend codex    # real lift via Codex
+```
+
+Default backend is **`mock`** — deterministic, no API spend — so you can try the
+plumbing for free. Switch to `--backend claude` or `--backend codex` for genuine
+improvement on your own budget.
+
+### Handoff mode (session answers the model calls)
+
+`--backend handoff` runs the cycle without any model subprocess: the engine
+executes the deterministic stages and writes every model call it needs to
+`.skillopt-sleep-handoff/PROMPTS.md` + `pending.json` (exit code 3). You (or
+the `/skillopt-sleep-handoff` command, which automates the loop with isolated
+fresh-context subagents) write each raw answer to `answers/<id>.md` and re-run
+the same command; it resumes from the answers and either finishes or stages
+the next batch. Typically 3–6 rounds per night.
+
+```bash
+python -m skillopt_sleep run --backend handoff --project "$(pwd)"
+# ... answer .skillopt-sleep-handoff/PROMPTS.md into answers/<id>.md ...
+python -m skillopt_sleep run --backend handoff --project "$(pwd)"   # resume
+```
+
+Answer every prompt in a **fresh context** — a session that has already seen
+the mined tasks and their references would contaminate the held-out gate.
+Details: [the plugins README](../README.md#--backend-handoff--session-executed-calls-no-api-subprocess).
+
+## Does it actually improve? (real models, public benchmark)
+
+SkillOpt-Sleep is validated against [gbrain-evals](https://github.com/garrytan/gbrain-evals)'
+public `skillopt-v1` suite — the same benchmark gbrain scores its own skill
+optimizer against. We take a deliberately **deficient** skill and run one sleep
+night; held-out scoring is done by a local rule judge (no judge-API, no way to
+grade its own homework).
+
+| Backend | Seed | Held-out before → after | Nights |
+|---|---|---|---|
+| **Claude (Haiku 4.5)** | brief-writer | **0.00 → 1.00** | 1 |
+| **Codex** | brief-writer | **0.00 → 1.00** | 2 |
+
+Both took a brief-writer with no risks section / no confidence level and, within
+1–2 nights, proposed gated edits that lifted the held-out score to perfect —
+into the protected `LEARNED` block, nothing else touched. The Codex 2-night
+trace even shows the optimizer **diagnosing its own residual failure** and
+adding a meta-rule to fix it. Full writeup + reproduction:
+[the SkillOpt-Sleep guide section](https://microsoft.github.io/SkillOpt/docs/guideline.html#sleep).
+
+Reproduce:
+
+```bash
+git clone https://github.com/garrytan/gbrain-evals /tmp/gbrain-evals
+python -m skillopt_sleep.experiments.run_gbrain --backend claude --model haiku \
+  --seeds brief-writer --data-root /tmp/gbrain-evals/eval/data/skillopt-v1 \
+  --nights 1 --limit-replay 3 --limit-holdout 3
+python -m skillopt_sleep.experiments.run_gbrain --backend codex \
+  --seeds brief-writer --data-root /tmp/gbrain-evals/eval/data/skillopt-v1 \
+  --nights 1 --limit-replay 3 --limit-holdout 3
+```
+
+## Deterministic proof (no API, no keys)
+
+```bash
+python -m skillopt_sleep.experiments.run_experiment --persona researcher --assert-improves
+python -m skillopt_sleep.experiments.run_experiment --persona programmer  --assert-improves
+```
+
+Each prints the held-out score rising from baseline toward 1.0 as the gate
+accepts the general rules your tasks need, and confirms the gate **rejects** an
+injected harmful edit. Recorded output: [the SkillOpt-Sleep guide section](https://microsoft.github.io/SkillOpt/docs/guideline.html#sleep).
+
+## Schedule it nightly
+
+```bash
+"${CLAUDE_PLUGIN_ROOT}/scripts/install-cron.sh" "$(pwd)"   # prints a crontab line; installs nothing
+```
+
+## Safety
+
+- **Read-only** harvest of `~/.claude`. `mock` replay has no side effects.
+- Proposals are **staged**, never auto-applied (unless you opt in with `--auto-adopt`).
+- Every adopt writes a backup under the staging dir's `backup/`.
+- Per-night **token/task budget caps**; secrets redacted from prompts.
+- `fresh` replay (Phase 3) runs only in throwaway git worktrees.
+
+## Status
+
+Phase 1 (engine + deterministic experiment + plugin surface) is complete.
+Phase 3 adds the real-API miner/judge and `fresh` worktree replay. See
+[`docs/superpowers/specs/2026-06-07-skillopt-sleep-claude-code-plugin-design.md`](../docs/superpowers/specs/2026-06-07-skillopt-sleep-claude-code-plugin-design.md).
@@ -0,0 +1,67 @@
+---
+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
+argument-hint: "[run | dry-run] [--preferences \"...\"] (default: run)"
+allowed-tools: Bash, Read, Write, Task
+---
+
+# /skillopt-sleep-handoff — session-executed sleep cycle
+
+You are driving **SkillOpt-Sleep in handoff mode**: the Python engine runs
+every deterministic stage (harvest → mine → replay scoring → gate → stage)
+and outsources each model call (attempt / judge / reflect) to YOU via
+prompt files. No `claude -p` subprocess, no API key — the model work runs
+on this session's budget, but each prompt MUST be answered in a fresh,
+isolated context so the validation gate stays honest.
+
+## Requested action: $ARGUMENTS
+
+(If `$ARGUMENTS` is empty, treat it as `run`.)
+
+## The loop
+
+Repeat until the engine exits 0 (done) — at most 8 rounds:
+
+1. **Run the engine** via the bundled runner:
+
+   ```bash
+   "${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" <action> --backend handoff --project "$(pwd)" --scope invoked
+   ```
+
+   - exit 0 → the night is complete; go to "Finish" below.
+   - exit 3 → pending model calls; continue with step 2.
+   - anything else → stop and show the user the error output.
+
+2. **Read the batch**: `Read` `.skillopt-sleep-handoff/pending.json` in the
+   project. Each entry has `id`, `prompt`, `max_tokens`, `answer_file`.
+
+3. **Answer each prompt in ISOLATION** — this is the integrity rule:
+   - For each entry, launch a subagent (Task tool) whose ENTIRE input is
+     the `prompt` text verbatim. Add nothing: no summary of this session,
+     no mention of SkillOpt, no other prompts from the batch.
+   - Take the subagent's reply and `Write` the raw answer text (no
+     commentary, no code fences) to the entry's `answer_file`.
+   - NEVER answer from this session's own context — you have seen the
+     mined tasks and their references, so inline answers would contaminate
+     the held-out gate and fake the improvement score.
+
+4. **Re-run the same engine command** — it resumes from the answers
+   directory and either finishes or stages the next batch.
+
+## Finish
+
+- `Read` the `report.md` in the staging dir the engine printed and show
+  the user: held-out baseline → candidate score, the gate decision, the
+  proposed edits, and where the proposal is staged.
+- Tell the user nothing live changed; offer `/skillopt-sleep adopt`.
+- The engine archives `.skillopt-sleep-handoff/` on a completed real run;
+  do not delete it yourself.
+
+## Safety reminders
+
+- **Never** edit `CLAUDE.md` or `SKILL.md` yourself — only `adopt` does
+  that, with a backup.
+- Mined tasks are pinned to `.skillopt-sleep-handoff/tasks.json` on round
+  one, so sessions created while answering prompts cannot shift the task
+  set. Do not edit that file.
+- If a batch looks like it contains secrets or content the user would not
+  want re-processed, stop and ask before answering.
@@ -0,0 +1,66 @@
+---
+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)
+argument-hint: "[run | dry-run | status | adopt | harvest | schedule | unschedule] (default: status)"
+allowed-tools: Bash, Read
+---
+
+# /skillopt-sleep — SkillOpt-Sleep nightly self-evolution
+
+You are driving **SkillOpt-Sleep**: a tool that lets this user's Claude agent
+improve offline by reviewing past sessions, replaying recurring tasks, and
+consolidating what it learns into **validated** memory (`CLAUDE.md`) and skills
+(`SKILL.md`). It is gated like SkillOpt: a change is kept only if it improves a
+held-out replay score, and nothing live is modified until the user adopts it.
+
+## Requested action: $ARGUMENTS
+
+(If `$ARGUMENTS` is empty, treat it as `status`.)
+
+## How to run it
+
+The engine is the `skillopt_sleep` Python package in this repo. Use the
+**plugin's bundled runner** so the right interpreter and repo are on the path:
+
+```bash
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" <action> --project "$(pwd)" --scope invoked
+```
+
+`<action>` is one of:
+
+| action       | what it does |
+|--------------|--------------|
+| `status`     | show how many nights have run + the latest staged proposal (READ-ONLY) |
+| `dry-run`    | harvest → mine → replay → report, but **stage nothing** (safe preview) |
+| `run`        | full cycle: also **stage** a reviewed proposal (still does NOT touch live files) |
+| `adopt`      | apply the latest staged proposal to live `CLAUDE.md` / `SKILL.md` (backs up first) |
+| `harvest`    | debug: print the recurring tasks mined from recent sessions |
+| `schedule`   | install a nightly cron entry for this project (`--hour --minute`, off-:00 by default) |
+| `unschedule` | remove the nightly cron entry (`--all` to remove every managed entry) |
+
+Default backend is `mock` (deterministic, no API spend). To use real budget for
+genuine improvement, add `--backend claude` or `--backend codex`. To steer what
+the optimizer writes, add `--preferences "<your house rules>"`.
+
+## Steps to follow
+
+1. **Run the requested action** via the bundled runner above. Capture stdout.
+2. **For `run` / `dry-run`:** after it completes, `Read` the generated
+   `report.md` in the staging dir it prints, and show the user:
+   - held-out score: baseline → candidate (the proof it helped)
+   - the gate decision (accept/reject) and the exact edits it proposes
+   - where the proposal is staged
+3. **For `run` that produced an accepted proposal:** tell the user the diff is
+   staged and that **nothing live changed yet**. Offer to run `/skillopt-sleep adopt`.
+4. **For `adopt`:** confirm which live files were updated and that backups were
+   written under the staging dir's `backup/`.
+5. **Never** edit `CLAUDE.md` or `SKILL.md` yourself — only the `adopt` action
+   does that, with a backup. Respect the review gate.
+
+## Safety reminders
+
+- Harvest is **read-only** over `~/.claude`. Replay in `mock` mode runs no
+  shell side effects.
+- The cycle stages proposals; the user is in control of adoption.
+- If the user asks to schedule this nightly, point them at
+  `${CLAUDE_PLUGIN_ROOT}/scripts/install-cron.sh` (prints a crontab line; does
+  not install anything without confirmation).
@@ -0,0 +1,16 @@
+{
+  "hooks": {
+    "SessionEnd": [
+      {
+        "matcher": "*",
+        "hooks": [
+          {
+            "type": "command",
+            "command": "\"${CLAUDE_PLUGIN_ROOT}/hooks/on-session-end.sh\"",
+            "async": true
+          }
+        ]
+      }
+    ]
+  }
+}
@@ -0,0 +1,18 @@
+#!/usr/bin/env bash
+# SkillOpt-Sleep SessionEnd hook (async, best-effort, NON-BLOCKING).
+#
+# This does NOT run the optimizer. It only appends a tiny marker so the next
+# nightly cycle knows there is fresh activity to harvest, and (optionally)
+# nudges the user once that a sleep cycle is available. It must never fail the
+# session or spend API budget.
+set -uo pipefail
+
+PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}"
+STATE_DIR="${HOME}/.skillopt-sleep"
+mkdir -p "$STATE_DIR" 2>/dev/null || exit 0
+
+# Record that a session just ended (cheap; used for "is there new data?").
+printf '%s\t%s\n' "$(date -u +%Y-%m-%dT%H:%M:%SZ)" "${PWD}" \
+  >> "$STATE_DIR/session-end.log" 2>/dev/null || true
+
+exit 0
@@ -0,0 +1,29 @@
+#!/usr/bin/env bash
+# Print (does NOT install) a crontab line that runs SkillOpt-Sleep nightly.
+# The user copies the line into `crontab -e` if they want it.
+set -euo pipefail
+
+PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}"
+RUNNER="$PLUGIN_ROOT/scripts/sleep.sh"
+PROJECT="${1:-$(pwd)}"
+BACKEND="${2:-mock}"
+
+# 3:17am local — deliberately off the :00 mark so many users don't all hit the
+# API at once (and we leave room for jitter).
+MIN=17
+HOUR=3
+
+cat <<EOF
+# ── SkillOpt-Sleep nightly cycle ────────────────────────────────────────────
+# Review past sessions, replay tasks, stage validated memory/skill updates.
+# Runs at ${HOUR}:$(printf '%02d' $MIN) local every day. Output goes to the project's
+# .skillopt-sleep/ dir; nothing live is changed until you run '/skillopt-sleep adopt'
+# (unless you pass --auto-adopt below).
+#
+# Copy the next line into 'crontab -e':
+${MIN} ${HOUR} * * *  "${RUNNER}" run --project "${PROJECT}" --scope invoked --backend ${BACKEND} >> "${PROJECT}/.skillopt-sleep/cron.log" 2>&1
+#
+# For fully-autonomous adoption (power users), append: --auto-adopt
+# To spend real API budget for genuine lift, set BACKEND=anthropic above.
+# ────────────────────────────────────────────────────────────────────────────
+EOF
@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+# SkillOpt-Sleep shared runner — used by all platform plugins (Claude Code,
+# Codex, Copilot). Resolves the repo root (which contains the skillopt_sleep
+# package), picks a Python >= 3.10, and execs the engine CLI.
+#
+# Usage: run-sleep.sh <run|dry-run|status|adopt|harvest|...> [args...]
+set -euo pipefail
+
+# This script lives at <repo>/plugins/run-sleep.sh, so the repo root (which
+# holds skillopt_sleep/) is one level up. CLAUDE_PLUGIN_ROOT (if set by Claude
+# Code) points at the plugin dir; the engine is then two levels above it.
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+if [ -d "$SCRIPT_DIR/../skillopt_sleep" ]; then
+  REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
+elif [ -n "${CLAUDE_PLUGIN_ROOT:-}" ] && [ -d "$CLAUDE_PLUGIN_ROOT/../../skillopt_sleep" ]; then
+  REPO_ROOT="$(cd "$CLAUDE_PLUGIN_ROOT/../.." && pwd)"
+elif [ -n "${SKILLOPT_SLEEP_REPO:-}" ] && [ -d "$SKILLOPT_SLEEP_REPO/skillopt_sleep" ]; then
+  REPO_ROOT="$SKILLOPT_SLEEP_REPO"
+else
+  # last resort: search upward from CWD
+  d="$PWD"
+  while [ "$d" != "/" ]; do
+    [ -d "$d/skillopt_sleep" ] && { REPO_ROOT="$d"; break; }
+    d="$(dirname "$d")"
+  done
+fi
+if [ -z "${REPO_ROOT:-}" ]; then
+  echo "[sleep] ERROR: could not locate the skillopt_sleep package. Set SKILLOPT_SLEEP_REPO to the repo root." >&2
+  exit 1
+fi
+
+PY=""
+# Allow explicit Python override (useful on macOS with old system Python).
+if [ -n "${SKILLOPT_SLEEP_PYTHON:-}" ]; then
+  PY="$SKILLOPT_SLEEP_PYTHON"
+else
+  for cand in python3.12 python3.11 python3.10 python3; do
+    if command -v "$cand" >/dev/null 2>&1; then
+      ver="$("$cand" -c 'import sys; print("%d%d" % sys.version_info[:2])' 2>/dev/null || echo 0)"
+      if [ "${ver:-0}" -ge 310 ]; then PY="$cand"; break; fi
+    fi
+  done
+fi
+if [ -z "$PY" ]; then
+  echo "[sleep] ERROR: need Python >= 3.10 (found none)." >&2
+  exit 1
+fi
+
+if [ "$#" -eq 0 ]; then set -- status; fi
+cd "$REPO_ROOT"
+exec "$PY" -m skillopt_sleep "$@"
@@ -0,0 +1,30 @@
+#!/usr/bin/env bash
+# Claude Code plugin runner — thin wrapper over the shared runner so all
+# platform plugins share one engine launcher.
+#
+# After marketplace install the plugin is isolated in a cache directory and
+# the repo-relative path no longer works.  We try four locations:
+#   1. Co-located run-sleep.sh (bundled copy — works in marketplace cache)
+#   2. Repo-relative ../../run-sleep.sh (dev checkout)
+#   3. CLAUDE_PLUGIN_ROOT/../run-sleep.sh (plugin env variable)
+#   4. SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh (explicit env)
+set -euo pipefail
+HERE="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+SHARED=""
+if [ -f "$HERE/run-sleep.sh" ]; then
+  SHARED="$HERE/run-sleep.sh"
+elif [ -f "$(cd "$HERE/../.." 2>/dev/null && pwd)/run-sleep.sh" ]; then
+  SHARED="$(cd "$HERE/../.." && pwd)/run-sleep.sh"
+elif [ -n "${CLAUDE_PLUGIN_ROOT:-}" ] && [ -f "$(cd "$CLAUDE_PLUGIN_ROOT/.." 2>/dev/null && pwd)/run-sleep.sh" ]; then
+  SHARED="$(cd "$CLAUDE_PLUGIN_ROOT/.." && pwd)/run-sleep.sh"
+elif [ -n "${SKILLOPT_SLEEP_REPO:-}" ] && [ -f "$SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh" ]; then
+  SHARED="$SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh"
+fi
+
+if [ -z "$SHARED" ]; then
+  echo "[sleep] ERROR: cannot locate run-sleep.sh." >&2
+  echo "[sleep] Set SKILLOPT_SLEEP_REPO to the SkillOpt repo root, or pip install skillopt." >&2
+  exit 1
+fi
+exec bash "$SHARED" "$@"
@@ -0,0 +1,126 @@
+---
+name: skillopt-sleep
+description: "Use when the user wants their Claude agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, memory/skill consolidation, or says things like 'make my agent better the more I use it', 'review my past sessions', 'learn my preferences', 'consolidate what you learned', 'run the sleep cycle', or wants to schedule offline self-optimization. Drives the skillopt_sleep engine: harvest past sessions -> mine recurring tasks -> replay offline -> consolidate validated CLAUDE.md/SKILL.md behind a held-out gate."
+---
+
+# SkillOpt-Sleep: offline self-evolution for a local Claude agent
+
+SkillOpt-Sleep gives the user's agent a **sleep cycle**. While the user is
+offline (e.g. nightly), it reviews their real past Claude Code sessions,
+re-runs recurring tasks on their own API budget, and consolidates what it
+learns into **memory** (`CLAUDE.md`) and **skills** (`SKILL.md`) — but only
+keeps changes that pass a held-out validation gate, and only after the user
+adopts them. The agent gets measurably better at *this* user's recurring work,
+with no model-weight training. It is the deployment-time analogue of training:
+short-term experience → long-term competence.
+
+It synthesizes three ideas:
+- **SkillOpt** — the skill/memory doc is trainable text; bounded add/delete/replace
+  edits; accepted only through a held-out gate; rejected edits become negative feedback.
+- **Claude Dreams** — offline consolidation that reads past sessions and rebuilds
+  memory (dedup/merge/resolve); the input is never mutated; output is reviewed then adopted.
+- **Agent sleep** — periodic offline replay turns episodes into durable skill.
+
+## When to use this skill
+
+Trigger when the user wants any of:
+- "make my agent learn from how I use it" / "get better the more I use it" / "remember my preferences across sessions"
+- a nightly/scheduled or on-demand **offline self-improvement / dream / sleep** run
+- to **review past sessions/trajectories** and distill recurring tasks
+- to **consolidate** feedback into `CLAUDE.md` or a managed skill
+- to **schedule** the cycle (cron) or **adopt** a staged proposal
+
+## The cycle (six stages)
+
+1. **Harvest** — read `~/.claude/projects/*/<session>.jsonl` + `~/.claude/history.jsonl` (READ-ONLY) → session digests.
+2. **Mine** — digests → `TaskRecord`s (recurring intents + outcome labels + checkable refs where possible).
+3. **Replay** — re-run tasks offline under the *current* skill+memory → (hard, soft) scores.
+4. **Consolidate** — reflect on failures → propose bounded edits → **gate** on a held-out slice; accept only if it strictly improves.
+5. **Stage** — write `proposed_CLAUDE.md`, `proposed_SKILL.md`, a diff, and `report.md` into `<project>/.skillopt-sleep/staging/<date>/`. **Nothing live changes.**
+6. **Adopt** — explicit (or opt-in auto): copy staged files over live ones, backing up first.
+
+## How to drive it
+
+Prefer the `/skillopt-sleep` command. Under the hood it calls the bundled runner:
+
+```bash
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" status                       # what's happened
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" dry-run --project "$(pwd)"    # safe preview
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" run --project "$(pwd)"        # full cycle, stages a proposal
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" adopt --project "$(pwd)"      # apply staged proposal (with backup)
+```
+
+- Default backend is `mock` (deterministic, **no API spend**) — good for trying the plumbing.
+- Add `--backend claude` or `--backend codex` to spend the user's real budget for genuine improvement.
+- Scope defaults to the invoked project; `--scope all` harvests every project.
+
+### Scheduling
+
+```bash
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" schedule --project "$(pwd)" --hour 3 --minute 17
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" unschedule --project "$(pwd)"
+```
+
+Installs a nightly cron entry. `unschedule --all` removes every managed entry.
+
+## All CLI flags
+
+| Flag | Default | Description |
+|------|---------|-------------|
+| `--project PATH` | cwd | Project directory to evolve |
+| `--scope all\|invoked` | invoked | Harvest scope |
+| `--backend mock\|claude\|codex\|copilot` | mock | Replay backend (mock = no API spend) |
+| `--model NAME` | backend default | Override the model used for replay |
+| `--source claude\|codex\|auto` | claude | Transcript source |
+| `--lookback-hours N` | 72 | Harvest window |
+| `--max-sessions N` | unlimited | Cap harvested sessions |
+| `--max-tasks N` | 40 | Cap mined tasks |
+| `--target-skill-path PATH` | auto | Explicit SKILL.md to evolve |
+| `--tasks-file PATH` | — | Reviewed TaskRecord JSON (skip harvest) |
+| `--progress` | off | Print phase progress to stderr |
+| `--auto-adopt` | off | Auto-adopt if gate passes |
+| `--edit-budget N` | 4 | Max bounded edits per night |
+| `--json` | off | Machine-readable JSON output |
+
+## Config keys (`~/.skillopt-sleep/config.json`)
+
+Beyond the CLI flags, advanced behavior is controlled via config:
+
+- **`preferences`** — free-text house rules injected into the optimizer's reflect step (e.g. "Always use async/await", "Answers in `\boxed{}`").
+- **`gate_mode`** — `on` (default, validation-gated) or `off` (greedy, accept all edits).
+- **`gate_metric`** — `hard`, `soft`, or `mixed` (default). Controls how the held-out gate scores.
+- **`dream_rollouts`** — >1 enables multi-rollout contrastive reflection per task.
+- **`recall_k`** — >0 recalls K similar past tasks into the dream (long-term memory).
+- **`evolve_memory`** / **`evolve_skill`** — independently toggle CLAUDE.md vs SKILL.md consolidation.
+
+## Memory consolidation
+
+The sleep cycle can consolidate both:
+- **SKILL.md** — the managed skill file (bounded edits: add/delete/replace)
+- **CLAUDE.md** — the project memory (same bounded edits)
+
+Both are gated by the same held-out validation score. Set `evolve_memory: false` to consolidate only skills, or `evolve_skill: false` for only memory.
+
+## Hard rules
+
+- **Never** hand-edit the user's `CLAUDE.md` / `SKILL.md` as part of this skill.
+  Only the `adopt` action changes live files, and it backs them up first.
+- Harvest is read-only. `mock` replay has no side effects.
+- Always show the user the **held-out baseline → candidate** score and the
+  exact proposed edits before suggesting adoption. Evidence before adoption.
+- If asked whether it really helps, run
+  `python -m skillopt_sleep.experiments.run_experiment --persona researcher --json`
+  — a deterministic demo that proves held-out lift and that the gate blocks
+  harmful edits.
+
+## Validate / demo
+
+```bash
+# deterministic proof (no API): held-out score rises, gate blocks regressions
+python -m skillopt_sleep.experiments.run_experiment --persona researcher --assert-improves
+python -m skillopt_sleep.experiments.run_experiment --persona programmer  --assert-improves
+```
+
+See the SkillOpt-Sleep guide section for recorded output and
+`docs/superpowers/specs/2026-06-07-skillopt-sleep-claude-code-plugin-design.md`
+for the full design.