Skip to content
← Tools / Skills
Toolcoleam00/10 trustVerified
Context Engineering Intro logo

Context Engineering Intro

The PRP workflow template that made context engineering mainstream — ~13k stars.

Visit official site →

About

coleam00/Context-Engineering-Intro (~12,800 stars) is the template repo that popularized context engineering for AI coding assistants, centered on Claude Code but applicable to any agent. The core idea: stop prompt-engineering and start engineering the full context — CLAUDE.md project rules, INITIAL.md feature requests, and an examples/ folder — then run /generate-prp to produce a Product Requirements Prompt and /execute-prp to implement it end to end. It ships PRP templates for base, TypeScript, planning, and spec workflows plus a practical guide.

It's a workflow and template collection rather than installable skills, which matters for how you use it: you clone it as a starting point and adapt the rules and examples to your project. The PRP approach genuinely reduces the 'vibe coding' failure mode of under-specified agent tasks, but it adds upfront overhead — writing a good INITIAL.md and curating examples is real work, and the payoff scales with project complexity.

What it can do

  • PRP (Product Requirements Prompt) generation and execution workflow
  • CLAUDE.md project-rules template and INITIAL.md feature template
  • PRP templates for base, TypeScript, planning, and spec use cases
  • Practical guide to context engineering best practices
  • Community use-case examples including multi-agent setups

Setup

Clone github.com/coleam00/Context-Engineering-Intro. Edit CLAUDE.md with your project rules, drop code examples into examples/, write your feature request in INITIAL.md, then in Claude Code run /generate-prp INITIAL.md followed by /execute-prp on the generated PRP.

Prerequisites

Claude Code (or another AI coding assistant); a project to apply it to.

Use cases

codingai-agentsprompt-engineeringclaude-code

Works with

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 68; Trending score 84/100 from researcher assessment.

★ 12,782 GitHub stars

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.