What problem does it solve? AI coding agents hallucinate APIs, ignore project conventions, and degrade in quality when they receive too little context, too much context, or stale context. This Skill provides a structured method for curating exactly what the agent sees at each stage of a session. ## Core Features & Use Cases - Five-Level Context Hierarchy: Organizes context from persistent rules files (CLAUDE.md, AGENTS.md, .cursorrules) down to transient conversation history, with templates for each level. - Context Packing Strategies: Provides the Brain Dump, Selective Include, and Hierarchical Summary patterns for loading task-relevant files, specs, and error output without flooding the agent. - Confusion Management: Defines explicit patterns for surfacing conflicting specs, missing requirements, and ambiguity instead of letting the agent silently guess. - Use Case: When starting a new project for AI-assisted development, use this Skill to write a CLAUDE.md rules file covering tech stack, commands, conventions, and boundaries, then apply the Selective Include pattern for each task. ## Quick Start Ask the agent to create a CLAUDE.md rules file for your project covering the tech stack, build commands, code conventions, and boundaries before starting the next coding task.
