Files
SkillOpt/plugins/claude-code/.claude-plugin/plugin.json
T
Yifan Yang f9db99853b feat(plugins): ship SkillOpt-Sleep for Claude Code, Codex, and Copilot
Restructure into plugins/{claude-code,codex,copilot}/ — one engine, three thin
shells, all calling the shared plugins/run-sleep.sh -> python -m skillopt_sleep.

  - claude-code/: existing plugin moved here; runner delegates to the shared
    launcher (fixes repo-root resolution after the move).
  - codex/: ~/.codex/prompts/sleep.md custom prompt + ~/.agents/skills SKILL.md +
    install.sh + AGENTS.md hint — Codex's documented, stable extension surfaces.
  - copilot/: a stdlib-only MCP server (mcp_server.py) exposing sleep_* tools,
    plus mcp-config.example.json and a copilot-instructions snippet. Verified end
    to end (initialize -> tools/list -> tools/call returns real engine output).
  - plugins/README.md overview table; main README News + a dedicated SkillOpt-Sleep
    section; pyproject lists skillopt_sleep as a first-class package.

Decoupling emphasized throughout: open-source tool (skillopt_sleep/) with zero
dependency on the research package. 29 tests pass; all three shells resolve.

Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
2026-06-08 14:31:52 +00:00

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{
"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).越用越好用 — 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"
]
}