What problem does it solve? AI coding agents hallucinate APIs, ignore project conventions, and degrade in quality when they receive too little context or too much unfocused context. This Skill provides a structured methodology 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, .cursorrules, AGENTS.md) 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 context window. - Confusion Management: Defines explicit patterns for surfacing spec conflicts, 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 rules file covering tech stack, commands, conventions, and boundaries, then load only the relevant spec section and source files per task. ## Quick Start Ask the agent to set up a context rules file for your project covering the tech stack, build commands, code conventions, and boundaries before starting a new coding session.
