| name | skillopt-sleep |
| description | Use when the user wants their Claude agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, memory/skill 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: harvest past sessions -> mine recurring tasks -> replay through a selected backend -> consolidate validated CLAUDE.md/SKILL.md behind a held-out gate. |
SkillOpt-Sleep: usage-driven self-evolution for a local Claude agent
SkillOpt-Sleep gives the user's agent a sleep cycle. On demand or on a
nightly schedule, it reviews real past Claude Code sessions, re-runs recurring
tasks through the selected backend, and consolidates what it
learns into memory (CLAUDE.md) and skills (SKILL.md). With the
default validation gate enabled, it keeps only changes that improve a held-out
score. Live files change only through explicit adoption or a user-requested
--auto-adopt. It aims to improve this user's recurring work, while making
each accepted proposal measurable on the run's held-out tasks,
with no model-weight training. It is the deployment-time analogue of training:
short-term experience → long-term competence.
It synthesizes three ideas:
- SkillOpt — the skill/memory doc is trainable text; bounded add/delete/replace
edits; accepted only through a held-out gate; rejected edits are recorded in
the run report for review.
- Claude Dreams — consolidation that reads past sessions and proposes changes
inside protected learned blocks; the input is never mutated, and output is
reviewed before adoption.
- Agent sleep — periodic background replay turns episodes into durable skill.
When to use this skill
Trigger when the user wants any of:
