What problem does it solve? AI coding agents produce inconsistent output, hallucinate APIs, and ignore project conventions when they receive too little context or lose focus when flooded with too much. This Skill provides a structured methodology for curating exactly what an agent sees at each stage of a session. ## Core Features & Use Cases - Five-Level Context Hierarchy: Organizes context from persistent rules files (CLAUDE.md, .cursorrules, AGENTS.md) down through specs, source files, error output, and conversation history. - Context Packing Strategies: Provides templates like the Brain Dump, Selective Include, and Hierarchical Summary for loading focused, task-relevant context. - Confusion Management: Defines explicit patterns for surfacing conflicting specs, missing requirements, and ambiguity instead of letting the agent guess. - Use Case: When starting a new feature in a large codebase, use this Skill to write a rules file covering tech stack and conventions, then load only the relevant spec section and source files so the agent follows existing patterns instead of inventing new ones. ## Quick Start Set up a CLAUDE.md rules file for my project and show me how to structure context for my next coding session.
