← Back to Skills Marketplace
dannyxyz22

Document Multiple Repository

by Daniel Lélis Baggio · GitHub ↗ · v0.1.0
cross-platform ✓ Security Clean
979
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install document-multiple-repository
Description
Gera documentação técnica consolidada para sistemas de software com múltiplos repositórios (frontend, backend, microservices, wikis). Use quando o usuário pedir documentação de multi-repo, visão de arquitetura consolidada, mapeamento de repositórios ou documentação a partir de vários repos locais.
README (SKILL.md)

Skill: document-multiple-repository

Propósito

Gerar documentação técnica consolidada para sistemas de software compostos por múltiplos repositórios (frontend, backend, microservices, infra, docs, wikis) armazenados localmente em um sistema de arquivos compartilhado.

Premissas

  • Todos os repositórios (incluindo Wikis) já estão clonados localmente.
  • Múltiplos repositórios podem compor um único sistema lógico.
  • Wikis são tipicamente repositórios git com o sufixo .wiki.
  • As linguagens podem incluir Java, Python, JavaScript.
  • Não existem convenções rígidas de nomenclatura.
  • A execução é manual via agente de IA (VS Code, Copilot, Gemini CLI, etc).

Entradas (Inputs)

  • ROOT_PATH: pasta contendo múltiplos sistemas.
  • OUTPUT_PATH: destino para a documentação gerada.
  • TEMPLATES_PATH: templates para README, ARCHITECTURE, API, CODE_COMMENTS.

Etapas de Processamento

1. Descoberta de Sistemas (Discover Systems)

  • Escanear ROOT_PATH recursivamente.
  • Detectar repositórios git (pastas .git).
  • Identificar repositórios de Wiki (nome da pasta termina com .wiki).
  • Agrupar (cluster) repositórios por proximidade no sistema de arquivos.
  • Tratar cada grupo (código + wikis) como um único sistema lógico.

2. Análise de Repositórios (Analyze Repositories)

Para cada repositório:

  • Detectar o tipo (code, docs ou wiki).
  • Se for Code (Código):
    • Detectar linguagem e framework (Spring, Django, Node, etc).
    • Detectar o tipo de serviço (backend, frontend, microservice, infra).
    • Extrair: README, build files, manifests, API routes, entities, configs.
  • Se for Wiki:
    • Detectar páginas principais (Home.md, index.md).
    • Extrair: guias de infraestrutura, tutoriais de setup, processos de negócio (DoR/DoD) e links para legislação externa ou ativos.
  • Se for Docs:
    • Detectar geradores estáticos (MkDocs, Sphinx, etc).
    • Extrair: manuais funcionais e guias de usuário.

3. Geração de Documentação (Generate Documentation)

Criar para cada sistema:

  • SYSTEM_OVERVIEW.md (Visão consolidada incluindo negócio e tecnologia).
  • ARCHITECTURE.md.
  • REPOSITORY_MAP.md.
  • DEPLOYMENT.md (Informações mescladas de manifests de código e guias de wiki).
  • PROCESSES_AND_GUIDELINES.md (Extraído de Wikis: DoR, DoD, regras de contribuição).

Criar para cada repositório:

  • README.generated.md.
  • API.generated.md.
  • CODE_STRUCTURE.md (para repositórios de código).
  • WIKI_SUMMARY.md (para repositórios de wiki).

4. Estrutura de Saída (Output Structure)

OUTPUT_PATH/ system-name/ SYSTEM_OVERVIEW.md ARCHITECTURE.md REPOSITORY_MAP.md DEPLOYMENT.md PROCESSES_AND_GUIDELINES.md repos/ repo-name/ README.generated.md API.generated.md CODE_STRUCTURE.md WIKI_SUMMARY.md

Execução

O agente recebe o comando: "Run skill document-multiple-repository on \x3CROOT_PATH>"

Restrições (Constraints)

  • Não executar código.
  • Não modificar os repositórios originais.
  • Apenas documentação.
Usage Guidance
This skill appears coherent and does what it says: scan a user-specified folder of locally-cloned repositories and generate documentation. Before running it, explicitly choose a narrow ROOT_PATH (do not point it at / or your entire home directory) so it only examines intended projects. Expect it to read repository files including READMEs and config files—if those repos contain secrets (API keys, private certs, .env files), remove or move them before running or run the skill in an isolated environment. Confirm your agent enforces the 'Do not execute code' constraint and will not upload generated documentation to external services unless you instruct it to. If you need automatic redaction of secrets or PII, add that step to the workflow or pre-sanitize repositories. If you want extra assurance, test the skill on a copy of repositories that contains only non-sensitive data.
Capability Analysis
Type: OpenClaw Skill Name: document-multiple-repository Version: 0.1.0 The skill's purpose is to generate consolidated technical documentation from local repositories, as clearly stated in `SKILL.md`. The `SKILL.md` explicitly restricts the AI agent from executing code or modifying original repositories. All code snippets and commands found within the `templates/*.md` files (e.g., `curl` commands, `npm install`, Python/JavaScript code examples) are presented as illustrative content for the *generated documentation* itself, not as instructions for the AI agent to execute. The file system access described (e.g., scanning `ROOT_PATH`, detecting `.git` folders, extracting content) is consistent with the benign goal of documentation generation. There is no evidence of malicious intent, data exfiltration, unauthorized execution, or prompt injection attempts against the agent.
Capability Assessment
✓ Purpose & Capability
The skill claims to generate consolidated documentation from multiple locally-cloned repositories and its instructions only require scanning a provided ROOT_PATH, detecting git repos and wikis, and producing files under OUTPUT_PATH. There are no unrelated environment variables, binaries, or install steps required, so the requested capabilities match the stated purpose.
ℹ Instruction Scope
SKILL.md directs the agent to recursively scan ROOT_PATH for .git directories, classify repos, and extract README, build files, manifests, API routes, wiki pages, etc. This is appropriate for repository documentation, but the instructions do not include explicit safeguards: they may read configuration files or secrets that happen to live in the repositories (e.g., .env, config, private keys) and do not specify redaction, size limits, or exclude binary files. The skill also states 'Do not execute code' and 'Do not modify the original repositories', which constrain behavior, but enforcement depends on the host agent.
✓ Install Mechanism
This is an instruction-only skill with no install spec and no code files to execute. That is the lowest-risk install model: nothing is written to disk by the skill itself and no external downloads are requested.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to its purpose of reading local repositories. There are template examples that show API headers and tokens (placeholders), but the skill does not request those at runtime.
✓ Persistence & Privilege
always:false and default model-invocation settings are used. The skill does not request persistent presence or elevated platform privileges, nor does it modify other skills or global agent settings according to the provided files.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install document-multiple-repository
  3. After installation, invoke the skill by name or use /document-multiple-repository
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: generate consolidated technical documentation for multi-repository systems. - Detects and clusters local git repositories (including wikis) into logical systems. - Analyzes each repository to extract language, structure, API routes, manifests, and key documentation. - Generates comprehensive documentation: overviews, architecture, deployment, repo maps, and process guidelines per system and repository. - Outputs structured documentation folders without modifying source repositories. - Supports Java, Python, JavaScript; recognizes backend, frontend, microservices, infra, docs, and wikis.
Metadata
Slug document-multiple-repository
Version 0.1.0
License —
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Document Multiple Repository?

Gera documentação técnica consolidada para sistemas de software com múltiplos repositórios (frontend, backend, microservices, wikis). Use quando o usuário pedir documentação de multi-repo, visão de arquitetura consolidada, mapeamento de repositórios ou documentação a partir de vários repos locais. It is an AI Agent Skill for Claude Code / OpenClaw, with 979 downloads so far.

How do I install Document Multiple Repository?

Run "/install document-multiple-repository" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Document Multiple Repository free?

Yes, Document Multiple Repository is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Document Multiple Repository support?

Document Multiple Repository is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Document Multiple Repository?

It is built and maintained by Daniel Lélis Baggio (@dannyxyz22); the current version is v0.1.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments