| name | skillopt-sleep |
| description | 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 selected backend -> consolidate validated skills behind a held-out gate. |
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)
- Harvest — read-only scan of supported local session records → digests
- Mine — digests → recurring task records (intent + outcome labels + checkable refs)
- Replay — re-run tasks under the current skill+memory with the selected backend → (hard, soft) scores
