explore-codebase

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Navigate and understand codebase structure using the knowledge graph

AI & Automation 27,148 stars 2513 forks Updated today MIT

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Skill Content

## Explore Codebase Use the code-review-graph MCP tools to explore and understand the codebase. ### Steps 1. Run `list_graph_stats` to see overall codebase metrics. 2. Run `get_architecture_overview_tool` for high-level community structure. 3. Use `list_communities_tool` to find major modules, then `get_community` for details. 4. Use `semantic_search_nodes_tool` to find specific functions or classes. 5. Use `query_graph_tool` with patterns like `callers_of`, `callees_of`, `imports_of` to trace relationships. 6. Use `list_flows` and `get_flow` to understand execution paths. ### Tips - Start broad (stats, architecture) then narrow down to specific areas. - Use `children_of` on a file to see all its functions and classes. - Use `find_large_functions` to identify complex code. ## Token Efficiency Rules - ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool. - Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient. - Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

Details

Author
tirth8205
Repository
tirth8205/code-review-graph
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

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