Query the Graphify knowledge graph for structural codebase questions.
npx skills add https://github.com/josix/agent-flow --skill graphify-usage
Please help me install this Agent Skill. Skill: graphify-usage Source: https://github.com/josix/agent-flow/tree/main/skills/graphify-usage Command: npx skills add https://github.com/josix/agent-flow --skill graphify-usage
This skill prevents agents from misusing the Graphify knowledge graph by teaching when to query it, which tool to use, and how to interpret results safely and within token limits.
Use the graphify-usage skill when you need to answer a structural question about the repo from the Graphify graph, such as “what connects module A to module B?” or “which community does file F belong to?”.
High-intent search queries and answers about installing and using this skill.
Codebase dependency analysis using a knowledge graph involves querying the Graphify MCP tools to map structural connections, trace shortest paths between modules, and identify community clusters while enforcing strict token budgeting for safe result interpretation.
You should use graph queries instead of grep for codebase analysis when you need to answer structural questions like dependency mapping or community clustering with high accuracy, whereas grep is better suited for simple text freshness checks.
Token budgeting when querying a code graph requires disciplined MCP tool selection and strict depth limitations to prevent exceeding token limits, ensuring you safely interpret structural relationships without overwhelming the context window.
Interpreting confidence tags in knowledge graph results requires distinguishing between EXTRACTED, INFERRED, and AMBIGUOUS relationships, and consistently citing the source_location to maintain result interpretation discipline during codebase analysis.
Yes, you can trace the shortest path between modules in a codebase by applying Graphify MCP tools specifically designed for path tracing and structural discovery, provided you manage token depth budgeting to avoid stale graph data.
A key limitation of using a knowledge graph for codebase analysis is the risk of relying on stale graph data, which requires disciplined tool selection and consistent interpretation rules to safely manage EXTRACTED versus INFERRED relationship accuracy.
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