debug-issue

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Systematically debug issues using graph-powered code navigation

tirth8205 By tirth8205 schedule Updated 6/10/2026

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

  1. Use semantic_search_nodes_tool to find code related to the issue.
  2. Use query_graph_tool with callers_of and callees_of to trace call chains.
  3. Use get_flow to see full execution paths through suspected areas.
  4. Run detect_changes_tool to check if recent changes caused the issue.
  5. Use get_impact_radius_tool on 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

  • 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.
Install via CLI
npx skills add https://github.com/tirth8205/code-review-graph --skill debug-issue
Repository Details
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