Util-TLDR is a high-performance code intelligence skill designed to help Claude navigate and analyze large repositories without exhausting token limits. It offers structured insights into code architecture, control flow, data flow, and dependency mapping across Python, TypeScript, Go, and Rust projects. By generating LLM-ready context and identifying dead code or impact zones, it enables developers to perform complex refactoring, debugging, and architectural audits with surgical precision and minimal context window overhead.
주요 기능
01Analyzes control flow (CFG) and data flow (DFG) for deep logic tracing
02Generates token-efficient code maps and file tree references
03Detects architectural layers and finds dead code within complex repositories
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05Provides LLM-optimized context for large-scale codebase navigation
06Performs cross-file impact analysis to identify affected dependencies
