Deep Context Generation with PMAT

Official

LLM-optimized context for codebases.

Authorpaiml
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill generates comprehensive, compressed context for a codebase optimized for large language models. It helps engineers quickly understand architecture, hotspots, and dependencies without wading through raw code.

Core Features & Use Cases

  • Scans the entire repository (honors .gitignore)
  • Produces a 60-80% smaller context suitable for LLMs
  • Architecture tree, complexity heatmaps, dependency graphs
  • Extracts key abstractions and public APIs

Quick Start

  1. Generate full context: pmat context --output context.md --format llm-optimized
  2. Read and analyze: cat context.md

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Deep Context Generation with PMAT
Download link: https://github.com/paiml/paiml-mcp-agent-toolkit/archive/main.zip#deep-context-generation-with-pmat

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository