agent-code-detective
Skill3 starsChanged 5 months agoNo licenceView on GitHub
Investiga e mapeia projetos open source de agentes AI (LLM agents) de forma metódica, end-to-end, como um detetive de código. Use SEMPRE que o usuário pedir para entender, estudar, fazer onboarding, mapear arquitetura, ou navegar pelo código de qualquer projeto de agente AI - mesmo que ele não use a palavra "detetive". Acione esta skill quando o usuário mencionar repositórios como OpenHands, OpenCode, Aider, Cline, Goose, Plandex, gpt-researcher, LangGraph apps, CrewAI projects, AutoGen projects, ou qualquer codebase com pasta agent/, tools/, prompts/, ou que use SDKs como anthropic, openai, langchain, langgraph, pydantic-ai. Também use quando o usuário disser "como funciona esse projeto", "quero entender o fluxo", "me ajuda a debugar", "onde começa", "qual o entry point", ou pedir para encontrar onde fica o agent loop, tools, memória, LLM client. Esta skill produz um dossiê estruturado com entry point, 6 componentes universais, 5 breakpoints sugeridos, sequência de testes progressivos, e fluxo end-to-end documentado.
In this repository4 other files it gives its agents.
- html-firstSkill
- k8s-investigationSkill
- learning-trailSkill
- pre-commit-quality-gateSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
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 an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.