How is this better than using a standard grep search?

Unlike grep, which only finds literal text matches, this skill uses semantic search to understand the meaning behind your query, finding relevant code even if the terminology differs.

Can this skill help me understand project architecture?

Absolutely. It is specifically designed to analyze how different components interact, map out dependencies, and provide a high-level overview of the system structure.

What happens if claudemem is not installed?

The skill will attempt to fall back to standard grep and find tools, though it will warn you that the results will be significantly less accurate than semantic analysis.

Does this skill require the codebase to be indexed?

Yes, this skill requires claudemem to be indexed before use to provide semantic search capabilities. You can run 'claudemem index -y' to prepare your project.

Deep Code Analysis Detective

Name: Deep Code Analysis Detective
Author: tianzecn

bytianzecn

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Learning & Documentation

Conducts comprehensive codebase investigations to explain architecture, trace logic flows, and find specific implementations using semantic search.

About

The Deep Code Analysis skill transforms Claude into a codebase detective, enabling deep-dive investigations into complex repositories. By leveraging claudemem for indexed memory and semantic search, this skill moves beyond simple keyword matching to understand the architectural intent and logical flow of your code. It is designed to answer high-level questions about how features work, map out component dependencies, and trace data transformations across multiple files, making it an essential tool for onboarding to new projects, auditing architecture, or debugging intricate system behaviors.

Key Features

Comprehensive reporting with file-specific citations and line numbers
Pattern recognition for architectural standards and conventions
1 GitHub stars
Automated architecture mapping and dependency graph generation
Semantic codebase search using claudemem indexed memory
Multi-file logic and data flow tracing

Use Cases

Tracing complex data flows to identify the source of a bug across multiple services
Onboarding to an unfamiliar codebase to quickly understand high-level architecture
Auditing a repository to find and document all implementations of specific patterns like API handlers

About

Key Features

Comprehensive reporting with file-specific citations and line numbers
Pattern recognition for architectural standards and conventions
1 GitHub stars
Automated architecture mapping and dependency graph generation
Semantic codebase search using claudemem indexed memory
Multi-file logic and data flow tracing

Use Cases

Tracing complex data flows to identify the source of a bug across multiple services
Onboarding to an unfamiliar codebase to quickly understand high-level architecture
Auditing a repository to find and document all implementations of specific patterns like API handlers