Analyze legacy codebases to generate Mermaid diagrams and risk reports.
npx skills add https://github.com/Jonely235/claude-skills --skill code-cartographer
Please help me install this Agent Skill. Skill: code-cartographer Source: https://github.com/Jonely235/claude-skills/tree/main/code-cartographer Command: npx skills add https://github.com/Jonely235/claude-skills --skill code-cartographer
Maps the architecture, data flow, and risks in legacy codebases to make them understandable and auditable.
Provide a target function name or file path to generate a Mermaid diagram and a risk report.
High-intent search queries and answers about installing and using this skill.
To generate a call graph for a legacy codebase, provide a target function name or file path to automatically map callers, callees, and data flow into a visual Mermaid diagram. This static traversal reveals who depends on whom without executing the code.
The best way to visualize code dependencies and side effects is through automated static code traversal that detects hidden state changes and external interactions. This process outputs visual Mermaid diagrams alongside plain-English risk summaries for auditing.
Yes, you can analyze untested or sparsely tested codebases across multiple programming languages. The static code traversal mechanism applies broadly to reveal data flow and side effects regardless of the underlying language.
No, call graph analysis explicitly excludes node_modules and vendor directories. It enforces strict depth limits for call stacks and dependency trees to focus solely on mapping your actual legacy code structures and internal dependencies.
To assess risks in legacy code before refactoring, analyze side effects and dependency trees to produce a plain-English risk report. This identifies hidden state changes and external interactions that could impact system stability.
You need a depth limit when mapping dependency trees to prevent infinite recursion and unmanageable visual output during static code traversal. Enforcing depth limits keeps the generated Mermaid diagrams readable and focused on critical call stacks.
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tt-a1iConvert plain English descriptions or Mermaid code into architectural diagrams.
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