agent-introspection-debugging
Skill8 starsChanged 5 months agoNo licenceView on GitHub
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
We split this skill into the rules it gives an agent
14 rules. 10 are common, 0 are distinctive, and 4 are very specific to this project.
10
Common
Most of the 17 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 17 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.
Other versions21 projects use a version of this.
Word for word · 4
- ArogyaReddy/https-github.com-affaan-m-everything-claude-code1★ 2100% same
- pcoulbourne/everything-claude-code★ 1100% same
- SamuelNDCE/claude-super-skill-library★ 1100% same
- davidanthonyn/claude-skills★ 0100% same
Edited · 17
- affaan-m/ECC★ 246k97% same
- mturac/everything-openai-codex★ 8999% same
- Fmarzochi/EGC★ 6198% same
- ysyecust/everything-claude-code★ 4499% same
- gongyijie85/dsh-ecc★ 897% same
- yevhens-hue/claude-skills-starter-kit★ 415% same
- bjornjee/skills★ 286% same
- JameMy0001/antigravity-skills-hub★ 189% same
- niloykumarbarman/EVERYTHING-CLAUDE-CODE★ 1100% same
- NISTALTALSON/essential-claude-skills★ 197% same
7 more not listed
Wrote their own version · 0
None found.
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.
Used alongsideProjects with it also use brand-discovery, competitive-platform-analysis and 4 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.
ysyecustSkillbrand-discovery
Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).
Also in 3 projects that use this
ysyecustSkillcompetitive-platform-analysis
Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.
Also in 3 projects that use this
mturacSkillmle-workflow
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
Also in 4 projects that use this
InfopibeSkilleverything-claude-code
Also in 3 projects that use this
- +2 more from ysyecust
In this repository50 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- api-design-principlesSkill
- backend-patternsSkill
- brainstormingSkill
- canary-watchSkill
- coding-standardsSkill
- context-budgetSkill
- councilSkill
- deep-researchSkill
- design-taste-frontendSkill
- dispatching-parallel-agentsSkill
- docker-patternsSkill
- executing-plansSkill
- fastapi-templatesSkill
- finishing-a-development-branchSkill
- frontend-designSkill
- frontend-patternsSkill
- full-output-enforcementSkill
- git-workflowSkill
- hookify-rulesSkill
- minimalist-uiSkill
- openspec-apply-changeSkill
- openspec-archive-changeSkill
- openspec-exploreSkill
- openspec-proposeSkill
- postgres-patternsSkill
- python-patternsSkill
- python-performance-optimizationSkill
- python-testing-patternsSkill
- receiving-code-reviewSkill
- redesign-existing-projectsSkill
- requesting-code-reviewSkill
- safety-guardSkill
- search-firstSkill
- security-reviewSkill
- strategic-compactSkill
- subagent-driven-developmentSkill
- systematic-debuggingSkill
- tdd-workflowSkill
- test-driven-developmentSkill
- using-git-worktreesSkill
- using-superpowersSkill
- vercel-react-best-practicesSkill
- verification-before-completionSkill
- verification-loopSkill
- web-design-guidelinesSkill
- writing-plansSkill
- writing-skillsSkill
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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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.

