carpedkm
0be780052a
Bug fixes: - #52: bundle run-sleep.sh in Claude Code plugin + 4-level fallback - #58: add skillopt-sleep console script entry point in pyproject.toml - #62: filter headless claude -p replay sessions from harvest Plugin sync (Claude Code / Codex / Copilot / OpenClaw): - Document all 22 CLI flags, 7 actions, 4 backends across all SKILL.md files - Document config keys (preferences, gate_mode, dream_rollouts, etc.) - Document memory consolidation (evolve_memory / evolve_skill) - Add schedule/unschedule to all plugins - Copilot MCP: expand schema from 3 → 16 params + schedule tools - OpenClaw: add schedule/unschedule subcommands via shared scheduler Tests: - Cross-plugin parity test (prevents future feature drift) - MCP schema completeness test Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
44 lines
2.0 KiB
Markdown
44 lines
2.0 KiB
Markdown
<!--
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Copy this block into your repo's .github/copilot-instructions.md so Copilot
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knows the SkillOpt-Sleep tools exist. (Copilot reads copilot-instructions.md
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automatically as ambient guidance.)
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-->
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## SkillOpt-Sleep (offline self-evolution)
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This project has SkillOpt-Sleep available via an MCP server (`skillopt-sleep`).
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It gives the agent a nightly "sleep cycle": it reviews past sessions, replays
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recurring tasks offline, and consolidates validated memory + skills behind a
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held-out gate.
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When the user asks to "run the sleep cycle", "review my past sessions", "learn
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my preferences", or "make the agent improve from past usage", use the MCP tools:
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- `sleep_status` — what's happened + the latest staged proposal
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- `sleep_dry_run` — safe preview, stages nothing
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- `sleep_run` — full cycle, stages a reviewed proposal (nothing live changes)
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- `sleep_adopt` — apply the staged proposal (backs up first)
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- `sleep_harvest` — list mined recurring tasks
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- `sleep_schedule` — install a nightly cron entry (set `hour`/`minute`)
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- `sleep_unschedule` — remove the nightly cron entry
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### Key parameters (pass as MCP tool arguments)
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- `backend` — `mock` (default, free), `claude`, `codex`, or `copilot`
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- `source` — `claude`, `codex`, or `auto` (where to read transcripts)
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- `target_skill_path` — explicit SKILL.md to evolve
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- `tasks_file` — pre-built TaskRecord JSON (skip harvest)
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- `max_tasks` / `max_sessions` — cap workload
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- `auto_adopt` — auto-adopt if the gate passes
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- `json` — machine-readable output for programmatic use
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### Advanced config (`~/.skillopt-sleep/config.json`)
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- `preferences` — free-text house rules for the optimizer
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- `gate_mode` — `on` (default) or `off`; `dream_rollouts` — >1 for more signal
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- `evolve_memory` / `evolve_skill` — toggle which docs consolidate
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Always show the user the held-out baseline → candidate score and the proposed
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edits before suggesting `sleep_adopt`. Never hand-edit the user's memory/skill
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files; only `sleep_adopt` does that, with a backup.
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