What problem does it solve? AI coding agents hallucinate APIs, ignore project conventions, and degrade in quality when they receive too little context or are flooded with irrelevant information. 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 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 inline planning instead of silently guessing. - Use Case: When starting a new feature, load only the relevant spec section, the files to modify, one existing pattern example, and the specific test error output, keeping focused context under roughly 2,000 lines per task. ## Quick Start Ask the agent to set up a CLAUDE.md rules file for this project covering the tech stack, commands, conventions, and boundaries before starting the next coding task.
