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skillopt-sleep

microsoft · Данни и AI

Use when the user wants the dsh agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, skill/memory 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 background self-optimization. Drives the skillopt_sleep engine through the skillopt_* tools: harvest past sessions -> mine recurring tasks -> replay via a se

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Теми: agent-skills · self-evolving-agents

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Оригинален SKILL.md
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MIT
Последна проверка на записа
20.09.2026 г.

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SkillOpt-Sleep: usage-driven self-evolution for the dsh agent

SkillOpt-Sleep is Microsoft's SkillOpt deployment-time companion engine: it reviews your past sessions (harvest), mines recurring tasks (mine), replays them through a selected backend (replay), and consolidates what it learns into skill documents behind a held-out validation gate (consolidate).

This skill drives the engine through the 7 skillopt_* tools exposed by the dsh-skillopt plugin. The default mock backend makes no model calls, which is useful for verifying the plumbing; a real backend consumes your API budget.

When to use

  • "make my agent better the more I use it" / "learn my preferences across sessions"
  • a one-off offline self-evolution / sleep / dream run (immediate or scheduled)
  • review past sessions/trajectories and distill recurring tasks
  • consolidate feedback into AGENTS.md / SKILL.md / managed skills
  • schedule (cron) the cycle, or adopt a staged proposal

The cycle (six stages)

  1. Harvest — read-only scan of supported local session records → digests
  2. Mine — digests → recurring task records (intent + outcome labels + checkable refs)
  3. Replay — re-run tasks under the current skill+memory with the selected backend → (hard, soft) scores
  4. Consolidate — reflect on failures → propose bounded edits → validation gate on a held-out slice (default: accept only on strict improvement)
  5. Stage — write accepted proposals to <project>/.skillopt-sleep/staging/<timestamp>/. Live files are unchanged. A rejected run still has a report but no proposal files.
  6. Adopt — explicit (or operator-configured --auto-adopt) copies staged files over live ones, backing up first.

Driving it

Prefer the tools over hand-editing files:

ToolBehavior
skillopt_statusstate, engine availability, latest staged proposal & report
skillopt_dry_runfull preview (harvest+mine+replay), stages nothing
skillopt_runfull cycle, stages a proposal (live files unchanged by default)
skillopt_adoptapply latest staged proposal (with backup) — the live-change boundary
skillopt_harvestread-only show/export of mined tasks
skillopt_schedule / skillopt_unscheduleinstall/remove the nightly cron entry for this project

Typical flow:

Целият SKILL.md в GitHub