Agent skill · AI & Agents

rag-query

Consulta ao corpus RAG do projeto. Busca conhecimento em decisoes, documentacao, learnings e padroes armazenados. Use quando: buscar decisoes passadas, encontrar documentacao, recuperar padroes.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill rag-query-arbgjr-satra-3 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Allowed tools: -Read-Glob-Grep-Bash
Path: skills/ai-llm/rag-query-arbgjr-satra-3/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# RAG Query Skill ## Proposito Esta skill permite consultar o corpus de conhecimento do projeto para: 1. **Buscar decisoes** - Encontrar ADRs e decisoes tecnicas relevantes 2. **Encontrar documentacao** - Localizar docs oficiais e referencias 3. **Recuperar padroes** - Identificar padroes ja usados no projeto 4. **Acessar learnings** - Consultar licoes aprendidas ## Tipos de Consulta ### 1. Busca por Decisoes ```python results = query_decisions( keywords=["database", "postgresql"], phase=3, type="architectural", limit=5 ) ``` ### 2. Busca por Documentacao ```python results = query_docs( topic="authentication", source=["official", "internal"], limit=10 ) ``` ### 3. Busca por Padroes ```python results = query_patterns( category="resilience", tags=["circuit-breaker", "retry"] ) ``` ### 4. Busca por Learnings ```python results = query_learnings( type="incident", keywords=["timeout", "performance"] ) ``` ### 5. Busca Geral ```python results = query( question="Como lidar com falhas de conexao ao banco?", sources=["decisions", "learnings", "patterns"], limit=5 ) ``` ## Estrutura do Corpus O corpus RAG esta consolidado em `.agentic_sdlc/corpus/`: ``` .agentic_sdlc/corpus/ ├── decisions/ #

What's inside
Steps it walks through
  1. Proposito
  2. Tipos de Consulta
  3. 1. Busca por Decisoes
  4. 2. Busca por Documentacao
  5. 3. Busca por Padroes
  6. 4. Busca por Learnings
  7. 5. Busca Geral
  8. Estrutura do Corpus
  9. Formato de Resultado
  10. Integracoes
  11. Com memory-manager
  12. Com rag-curator
  13. Scripts
  14. querycorpus.py
Ships with 1 file
  • metadata.json
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About this skill
What does the rag-query skill do?

Consulta ao corpus RAG do projeto. Busca conhecimento em decisoes, documentacao, learnings e padroes armazenados. Use quando: buscar decisoes passadas, encontrar documentacao, recuperar padroes.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill rag-query-arbgjr-satra-3 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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