Scan repository directories and generate ARCHITECTURE.md with a Mermaid module graph.
npx skills add https://github.com/shenxingy/Clade --skill map-shenxingy
Please help me install this Agent Skill. Skill: map Source: https://github.com/shenxingy/Clade/tree/main/configs/skills/map Command: npx skills add https://github.com/shenxingy/Clade --skill map-shenxingy
It solves the problem of quickly understanding a codebase’s structure by turning scattered directories and module relationships into a readable architecture document.
Ask your AI to run the /map skill to scan the repository and update ARCHITECTURE.md with a Mermaid diagram.
High-intent search queries and answers about installing and using this skill.
To generate architecture documentation, this Skill scans your repository directories and infers module dependencies to produce an ARCHITECTURE.md file with a readable Mermaid dependency graph at the project root.
Mapping project structure for onboarding requires summarizing top-level directories and cross-module usage. This Skill automatically outputs an overview diagram to help new developers quickly understand the codebase architecture.
Yes, you can create a Mermaid diagram by scanning key files for imports and cross-module usage. This Skill infers logical relationships and writes a limited number of key modules into a Mermaid graph.
Yes, this architecture mapping tool is designed for medium-sized codebases and software engineering scenarios like refactoring planning. It generates an overview diagram by inspecting directories while avoiding typical noise like node_modules.
To update an existing ARCHITECTURE.md file, the Skill writes or updates the file at the repository root with a generated Mermaid map. It focuses on top-level directories and key module dependencies to maintain a readable overview diagram.
JunjieChen0Validate Cangjie package declarations and import rules against src/ paths.
Camilo8902Scan repository structure and generate ARCHITECTURE.md with Mermaid diagrams.
opensage-agentIdentify direct and indirect callers of functions using Neo4j callgraph data.
TokenRollAIExtract architecture details from llmdoc documentation for project overviews.
