microsoft--skillopt/plugins/copilot/copilot-instructions.snippet.md

SkillOpt-Sleep (offline self-evolution)

This project has SkillOpt-Sleep available via an MCP server (skillopt-sleep). It gives the agent a nightly "sleep cycle": it reviews past sessions, replays recurring tasks offline, and consolidates validated memory + skills behind a held-out gate.

When the user asks to "run the sleep cycle", "review my past sessions", "learn my preferences", or "make the agent improve from past usage", use the MCP tools:

• sleep_status — what's happened + the latest staged proposal
• sleep_dry_run — safe preview, stages nothing
• sleep_run — full cycle, stages a reviewed proposal (nothing live changes)
• sleep_adopt — apply the staged proposal (backs up first)
• sleep_harvest — list mined recurring tasks
• sleep_schedule — install a nightly cron entry (set hour/minute)
• sleep_unschedule — remove the nightly cron entry

Key parameters (pass as MCP tool arguments)

• backend — mock (default, free), claude, codex, or copilot
• source — claude, codex, or auto (where to read transcripts)
• target_skill_path — explicit SKILL.md to evolve
• tasks_file — pre-built TaskRecord JSON (skip harvest)
• max_tasks / max_sessions — cap workload
• auto_adopt — auto-adopt if the gate passes
• json — machine-readable output for programmatic use

Advanced config (~/.skillopt-sleep/config.json)

• preferences — free-text house rules for the optimizer
• gate_mode — on (default) or off; dream_rollouts — >1 for more signal
• evolve_memory / evolve_skill — toggle which docs consolidate

Always show the user the held-out baseline → candidate score and the proposed edits before suggesting sleep_adopt. Never hand-edit the user's memory/skill files; only sleep_adopt does that, with a backup.