code-architecture-map
Build a compact architecture map of a repository. Use when entering a large codebase, locating entry points and domains, identifying risky modules, or planning a multi-file change.
Datos de origen
- Repositorio
- 777genius/universal-agent-plugins-registry
- Última actividad en el origen
- 7 de agosto de 2026 a las 13:57
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 3
- Forks
- 0
Opciones de instalación
De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.
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Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
Mostrando SKILL.md
SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- code-architecture-map
- description
- Build a compact architecture map of a repository. Use when entering a large codebase, locating entry points and domains, identifying risky modules, or planning a multi-file change.
- license
- Apache-2.0
- compatibility
- Requires a local code workspace. Uses rg first; Semble and CodeGraphContext are optional.
# Code Architecture Map
Produce a compact map of entry points, core domains, adapters, data flows,
hotspots, verification points, and recommended next reads.
1. Read repository instructions and primary manifests.
2. Use `rg --files` to identify languages and major folders.
3. Locate exact entry-point names with `rg`.
4. Use Semble for semantic entry points by feature or domain.
5. Use CGC stats and complexity only when a suitable index is available.
6. Read source files that confirm every important claim.
7. Report architecture boundaries, risks, and the smallest useful next set of
files.
Examples:
```bash
rg --files | sed -n '1,160p'
uvx --from semble==0.5.4 semble search -k 10 "main application flow" .
cgc stats . --context "$(basename "$PWD")"
cgc analyze complexity --limit 25 --context "$(basename "$PWD")"
```
Do not paste a giant file tree. Do not treat a semantic shortlist or graph as
complete until source reads confirm it. Prefer decisions, boundaries, risks,
and next reads over inventory noise.
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