Which programming languages are supported?

This skill works best with typed or structured languages like TypeScript, Go, Python, and Rust, as they provide clear AST structures for the underlying engine to analyze.

What is the difference between 'callers' and 'callees'?

'Callers' identifies every place in the codebase that uses a specific function, helping you understand usage patterns. 'Callees' identifies every function that your specific code depends on, tracing the outward data flow.

Why does this skill forbid using grep or find?

Grep and find are text-based tools that often return false positives or miss context. This skill uses Abstract Syntax Tree (AST) analysis via claudemem to understand the actual logical structure of your code, ensuring 100% accuracy in identifying relationships.

How does impact analysis work in this skill?

Impact analysis performs a deep check of transitive callers. Unlike a simple search, it finds the 'ripple effect'—showing you not just who calls your code, but who calls the callers, mapping out the entire dependency tree.

Developer Detective

Name: Developer Detective
Author: tianzecn

bytianzecn

•

開発者ツール

Investigates codebase implementations and data flows using AST-based structural analysis instead of text searches.

概要

Developer Detective is a specialized Claude Code skill designed for deep codebase navigation and high-fidelity impact analysis. It leverages the claudemem AST engine to perform precise caller/callee tracing, enabling developers to understand exactly how functions work, trace data movements, and identify potential ripple effects before making changes. By replacing imprecise text searches like grep with structural analysis, it provides surgical insights into dependencies and usage patterns across complex software projects, ensuring developers can refactor or extend code with full confidence.

主な機能

AST-powered caller and callee analysis for precise structural mapping
Structural data flow tracing to visualize how information moves through the system
1 GitHub stars
Contextual symbol lookups combining definitions with usage and dependencies
Transitive impact analysis to identify deep ripple effects of code changes
Token-efficient code reading by targeting specific file and line ranges

ユースケース

Refactoring complex logic by identifying all direct and indirect dependencies that might break
Onboarding to unfamiliar codebases by tracing execution paths from entry points to implementations
Auditing third-party integrations or internal data flows to ensure security and consistency

概要

主な機能

AST-powered caller and callee analysis for precise structural mapping
Structural data flow tracing to visualize how information moves through the system
1 GitHub stars
Contextual symbol lookups combining definitions with usage and dependencies
Transitive impact analysis to identify deep ripple effects of code changes
Token-efficient code reading by targeting specific file and line ranges

ユースケース

Refactoring complex logic by identifying all direct and indirect dependencies that might break
Onboarding to unfamiliar codebases by tracing execution paths from entry points to implementations
Auditing third-party integrations or internal data flows to ensure security and consistency