Skip to main content

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.

Aller à l'installation

Informations de source

Dépôt
777genius/universal-agent-plugins-registry
Dernière activité de la source
7 août 2026 à 13:57
Langue détectée de SKILL.md
anglais
Étoiles
3
Forks
0

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
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.
Voir sur GitHub