Build and analyze code graphs from git-kb code JSON.
npx skills add https://github.com/FlexNetOS/envctl --skill plan-cartography
Please help me install this Agent Skill. Skill: plan-cartography Source: https://github.com/FlexNetOS/envctl/tree/main/.agents/skills/plan-cartography Command: npx skills add https://github.com/FlexNetOS/envctl --skill plan-cartography
This Skill turns a target subsystem into a persistent code graph, providing graph-intelligence and aiding in planning processes.
Run the 'plan-cartography' skill on the 'secrets-proto' target to build its code graph.
High-intent search queries and answers about installing and using this skill.
To build a code graph for software architecture planning, you materialize a target subsystem into a persistent graph using indexed JSON data. This process derives graph-intelligence to aid in mapping dependencies and identifying structural hotspots.
Yes, you can detect dependency cycles and layering violations by applying graph-intelligence metrics to your code graph. This analysis also calculates centrality, blast-radius, dead code, and the public-API surface.
Yes, you need the git-kb code dependency for codebase dependency mapping because it provides the required JSON indexing and querying. The code graph is built and analyzed directly from this JSON output.
Code graph intelligence assesses risk by calculating metrics like centrality and blast-radius from a materialized code graph. It identifies structural hotspots and dead code to support architecture planning and risk assessment.
To track architecture changes across different code versions, snapshot the code graph each cycle and diff it against the previous version. This persistent and versioned graph approach highlights evolving dependency mappings and structural shifts.
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