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/explore-codebase

Navigate and understand codebase structure using the knowledge graph

@tirth8205tirth8205@tirth8205
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code-review-graph
30k7 skills2 hooks1 MCP
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$ npx -y skills add tirth8205/code-review-graph --skill explore-codebase --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/explore-codebase

Context preview

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

Navigate and understand codebase structure using the knowledge graph

SKILL.md

explore-codebase.SKILL.md
name: explore-codebase
description: Navigate and understand codebase structure using the knowledge graph

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.
Read it on GitHub ↗
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
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MIT
License
7d ago
Last commit
5mo ago
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Repo: tirth8205/code-review-graph

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