How does PageRank help in code analysis?

It ranks symbols based on their connectivity within the codebase, allowing Claude to identify which classes and functions are 'central' or most important to the application's logic.

Can this skill find unused or dead code?

Yes, using the 'dead-code' command (v0.4.0+), it identifies symbols with zero callers and low PageRank that are not exported, helping clean up technical debt.

Does it support finding test coverage gaps?

Yes, the 'test-gaps' feature identifies high-importance production code that has no incoming calls from test files, highlighting critical areas that need more unit tests.

What is the claudemem-search skill?

It is a specialized Claude Code skill for semantic code search and structural analysis using Abstract Syntax Trees (AST) and PageRank to help Claude understand code relationships.

Why use this instead of standard grep or search?

Standard search only finds text matches; Claudemem understands the code's structure, distinguishing between a function definition and its callers, which prevents errors during complex refactoring.

Claudemem Semantic Search & AST Analysis

Name: Claudemem Semantic Search & AST Analysis
Author: involvex

byinvolvex

Herramientas para Desarrolladores

Navigates complex codebases using AST-based structural analysis, PageRank symbol importance, and semantic vector search.

Acerca de

Claudemem is a comprehensive code analysis skill designed for Claude Code that moves beyond simple text searching to provide deep structural understanding. By leveraging Abstract Syntax Trees (AST) and symbol graphs, it allows Claude to map repository architecture, rank symbol importance via PageRank, and trace bi-directional call relationships. This ensures that when Claude modifies code, it understands the full impact radius, identifies dead code, and recognizes gaps in test coverage, leading to safer and more predictable refactoring in large-scale projects.

Características Principales

Machine-readable raw output for precise agent-driven analysis
AST-based structural mapping with PageRank symbol ranking
Semantic vector search combined with BM25 for intelligent code retrieval
0 GitHub stars
Bi-directional call graph analysis (callers and callees) for impact assessment
Automated detection of dead code and untested high-importance symbols

Casos de Uso

Rapidly onboarding to a large, unfamiliar codebase by generating a prioritized structural map
Performing impact analysis before a major refactor to see every function that depends on a specific symbol
Improving code hygiene by identifying unused functions and critical production code lacking test coverage

Acerca de

Características Principales

Machine-readable raw output for precise agent-driven analysis
AST-based structural mapping with PageRank symbol ranking
Semantic vector search combined with BM25 for intelligent code retrieval
0 GitHub stars
Bi-directional call graph analysis (callers and callees) for impact assessment
Automated detection of dead code and untested high-importance symbols

Casos de Uso

Rapidly onboarding to a large, unfamiliar codebase by generating a prioritized structural map
Performing impact analysis before a major refactor to see every function that depends on a specific symbol
Improving code hygiene by identifying unused functions and critical production code lacking test coverage