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codebase-memory

Analyze codebases by querying knowledge graphs for structural relationships and dependencies.

Updated Mar 26, 2026
Search Tags:#code quality#architecture#refactoring#knowledge graph#codebase#dependency analysis#call tracing
One-click install
npx skills add https://github.com/fukukei23/claude-config --skill codebase-memory-fukukei23
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-memory
Source: https://github.com/fukukei23/claude-config/tree/main/.claude/worktrees/make-song-analyze-song-bridge/skills/codebase-memory
Command: npx skills add https://github.com/fukukei23/claude-config --skill codebase-memory-fukukei23

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers understand complex codebases by replacing slow manual code searching with precise knowledge graph queries for architecture exploration, dependency analysis, and impact assessment.

Core Features & Use Cases

  • Codebase Graph Exploration: Query indexed repositories to discover functions, structures, dependencies, and relationships between code components.
  • Call Chain Analysis: Trace callers, callees, cross-service interactions, and change impacts for debugging and refactoring decisions.
  • Use Case: A developer preparing a large refactor can use this Skill to identify affected functions, unused code, and high-risk dependencies before modifying the system.

Quick Start

Ask the codebase-memory skill to show the architecture and trace the call chain for a specific function in the indexed repository.

Frequently Asked Questions about codebase-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I trace a function call chain across a complex codebase to see dependencies?▼

Codebase architecture exploration uses knowledge graph queries on indexed repositories to reveal structural relationships and dependencies between components. It replaces slow manual code searching with precise graph intelligence for impact assessment.

What is the best way to identify dead code and high-risk dependencies before refactoring?▼

Identify dead code and high-risk dependencies before refactoring by querying the knowledge graph to locate unused functions and trace change impacts. This reveals affected components and structural relationships in the indexed repository.

Can I perform an impact analysis on a software repository without manually searching the code?▼

You can perform impact analysis without manual searching by querying a knowledge graph of your indexed repository. This retrieves structural relationships and dependency information to assess change impacts across the codebase.

Do I need repository indexing and graph query capabilities to analyze codebase architecture?▼

Repository indexing and graph query capabilities are required to analyze codebase architecture. The skill depends on these features to retrieve functions, files, edges, and dependency information for structural relationship mapping.

How does querying a knowledge graph improve code quality audits and dependency analysis?▼

Querying a knowledge graph improves code quality audits by mapping precise structural dependencies and call tracing across the indexed codebase. It reveals dead code and high-risk components for accurate refactoring decisions.

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