Individual skill

skillopt-sleep

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.

plugins/claude-code/skills/skillopt-sleep/SKILL.md

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Source commit 01e41dbcdf9ea6e20d6428c152c14178bd1c80f3

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Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
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No
Observed behavior
Network or broad shell
Last checked
Nov 5, 2026

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Repository stars (not skill ratings)
18,933
Repository last updated
Nov 5, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

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# 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: