@tirth8205/debug-issue
Systematically debug issues using graph-powered code navigation
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SKILL.md
| name | debug-issue |
| description | Systematically debug issues using graph-powered code navigation |
Debug Issue
Use the knowledge graph to systematically trace and debug issues.
Steps
- Use
semantic_search_nodes_toolto find code related to the issue. - Use
query_graph_toolwithcallers_ofandcallees_ofto trace call chains. - Use
get_flow_toolto see full execution paths through suspected areas. - Run
detect_changes_toolto check if recent changes caused the issue. - Use
get_impact_radius_toolon suspected files to see what else is affected.
Tips
- Check both callers and callees to understand the full context.
- Look at affected flows to find the entry point that triggers the bug.
- Recent changes are the most common source of new issues.
Token Efficiency Rules
- Start with
get_minimal_context_tool(task="<your task>")before other graph tools. - 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.
- Read the implementation and its tests before changing code. The graph narrows scope; it does not replace the source.
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Bill of Materials
Everything this skill can do — files, network, commands, and more.
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