explore-codebase
FeaturedNavigate and understand codebase structure using the knowledge graph
AI & Automation 31,329 stars
2850 forks Updated yesterday 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
- 6 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
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