codebase-packager

Installation
SKILL.md

TLDR Expert

Overview

Achieves high-fidelity codebase comprehension at a fraction of the token cost through semantic layers, structured digests, and advanced context packaging. Combines Repomix for context packing, Gitingest for repository digests, and llm-tldr for graph-based code analysis.

When to use: Reducing prompt overhead for large codebases, onboarding to unfamiliar repositories, mapping cross-file dependencies, creating AI-optimized context bundles.

When NOT to use: Small single-file tasks, final implementation debugging (read the full file), real-time code editing.

Quick Reference

Pattern Tool / Command Key Points
Context packing repomix --include "src/**" --compress Package subdirectories into AI-optimized bundles
Signatures only repomix --include "src/**" --compress Compression extracts signatures via Tree-sitter
Repository digest gitingest . -o digest.txt Prompt-friendly summary for quick onboarding
Dependency context tldr context funcName --project . LLM-ready context for a function with 95% token saving
Caller tracing tldr impact functionName . Reverse call graph to assess change blast radius
Related skills
Installs
32
GitHub Stars
11
First Seen
Feb 24, 2026