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/debug-issue

Systematically debug issues using graph-powered code navigation

From plugin
code-review-graph
30k7 skills2 hooks1 MCP
Install
$ npx -y skills add tirth8205/code-review-graph --skill debug-issue --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/debug-issue

Context preview

The summary Claude sees to decide when to auto-load this skill.

Systematically debug issues using graph-powered code navigation

SKILL.md

debug-issue.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

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.
Ships withcode-review-graph

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

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Python
Language
MIT
License
7d ago
Last commit
5mo ago
Created

Repo: tirth8205/code-review-graph