evolve
Skill2 starsChanged 13 days agoMITView on GitHub
Review completed session experience and conversational feedback to maintain reusable agent-local skills without replaying task actions.
41 other projects use a version of this.
Adopted by
Most recently taken up by
- SethGammon/Citadeltheir own version, first seen Nov 4, 2026
- vidit19sharma/neogentstheir own version, first seen Nov 1, 2026
- Snowflake-Labs/coco-skillstheir own version, first seen Nov 1, 2026
- NobiResearch/Ovenbirdtheir own version, first seen Nov 1, 2026
- ES-92/esctheir own version, first seen Oct 20, 2026
- morodomi/dev-crewtheir own version, first seen Oct 17, 2026
Used with
Projects with it also use instinct-export, instinct-import and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
TheKREATORSSkillinstinct-export
Export instincts from project/global scope to a file
Also in 4 projects that use this
TheKREATORSSkillinstinct-import
Import instincts from file or URL into project/global scope
Also in 4 projects that use this
AWSSkillmap
Map verified service capabilities against customer-provided control framework and threat model. Produces mapping-results.json, controls-catalog.md, and framework-mapping.md. Supports pluggable frameworks: CCMv4, NIST 800-53, CIS Benchmarks, ISO 27001, etc. Split into 4 focused sub-skills for better accuracy; this skill orchestrates them.
Also in 5 projects that use this
diego-tobalinaSkillbuild-fix
Fix build and compilation errors systematically. Run when build fails.
Also in 3 projects that use this
launch52-aiSkillskill-create
Create and validate Claude Code skills with proper structure, checklists, and validation scripts. Use when creating a new skill, auditing existing skills, or ensuring skills meet quality standards. Generates complete skill scaffolds with SKILL.md, check scripts, guides, and templates.
Also in 3 projects that use this
qtzx06Skilleval
Evaluate trained YOLO model accuracy with mAP metrics and per-class error analysis. Identifies failure cases for targeted improvement. Use after training.
Also in 5 projects that use this
- +1 more from TheKREATORS
Other versions41 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 41
- revfactory/harness★ 9.1ksame name
- Q00/ouroboros★ 6.3ksame name
- yologdev/yoyo-evolve★ 1.9ksame name
- iovisor/ubpf★ 996same name
- SethGammon/Citadel★ 927same name
- GAIR-NLP/ASI-Evolve★ 867same name
- Kanevry/session-orchestrator★ 53same name
- mycelium-hq/ai-brain-starter★ 50same name
- Snowflake-Labs/coco-skills★ 49same name
- unclejobs-ai/second-claude-code★ 41same name
31 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository6 other files it gives its agents.
- AGENTS.mdAGENTS.md
- browser-workflowsSkill
- doc-coauthoringSkill
- frontend-designSkill
- office-documentsSkill
- skill-creatorSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 36 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Use this procedure during session-close skill reflection.
- Distinctive: line 14
Read the bounded session context.
- Distinctive: line 22
When summaries omit important details, retrieve relevant original messages or tool observations in bounded pages.
“Common” is measured: kept by at least 6 in 10 of the 36 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Evolve From Experience
Use this procedure during session-close skill reflection. It does not authorize additional capabilities, external actions, or edits outside agent-local skills.
- Read the bounded session context. Identify the task outcome, any explicit user feedback, and the procedure that might explain the result. A run's success status or a skill's activation count is not proof of a good procedure.
- Separate reusable lessons from one-off execution mistakes, missing information, and task-specific exceptions. If no concrete reusable lesson is supported, finish without changing a skill.
- Inspect the relevant existing skill. If no skill fits a reusable method that the session actually established, inspect a suitable new skill name instead. When summaries omit important details, retrieve relevant original messages or tool observations in bounded pages. Never invent missing evidence.
- Make the smallest useful procedural correction or new skill. Preserve unrelated content and resources. Include prerequisites, the reusable steps, and meaningful failure checks where supported. Do not embed credentials or private transcript copies. A shared or built-in skill must become an agent-local override rather than modifying the original.
- Stage edits with the ordinary
write_filecapability underskills/{name}/. Inspect an existing procedure withskills_loadfirst — it returns the body plus a resource listing. Before rewriting any existing file, read its raw bytes (read_file, orskills_read_resourcefor resources): a staged write must contain the complete file —SKILL.mdneeds its YAML frontmatter, and any bundled helper file or template needs its full content. Files you do not stage are carried over unchanged from the inspected version. Inspect a new local name withread_filebefore writing it. Finish with a short reason tied to this session. The platform validates and conflict-checks the staged changes before saving immutable local revisions. A conflict is not permission to overwrite newer work. Validation checks structure, not improvement in task outcomes. - Report only what was actually saved, or why no change was appropriate. The next ordinary task provides further evidence; do not replay actions to test the revision during reflection.
This procedure may itself receive a focused agent-local revision when experience supports one. That revision affects later reflections only. It cannot change the platform's inspection/edit boundaries or cause an immediate reflection loop.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

