harness-generate-project-context

What problem does it solve?

This Skill prevents AI coding agents from making incorrect or inconsistent implementation changes by generating a concise, project-specific ruleset in project-context.md.

Core Features & Use Cases

• Project-context generation: Produces project-context.md containing critical, non-obvious implementation rules AI agents must follow.
• Collaborative discovery workflow: First discovers technology stack and code patterns, then iteratively elicits rule categories with user approval.
• Lean LLM-optimized output: Ensures the produced document is optimized for scanability and context efficiency across multiple agent runs.
• Use Case: When you want multiple AI coding agents to implement features consistently in a large repo without relying on shallow chat snapshots.

Quick Start

Ask your AI agent to generate project context by running the harness-generate-project-context workflow for your repository, then approve each rule category before saving.