What problem does it solve? AI coding agents produce inconsistent output when they lack the right context: they hallucinate APIs, ignore project conventions, and degrade in quality over long sessions. This Skill provides a structured methodology for curating what the agent sees, when it sees it, and how it is structured. ## 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 context without flooding the agent. - 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 in a React + TypeScript project, use this Skill to write a CLAUDE.md rules file covering tech stack, commands, and conventions, then load only the relevant spec section and source files for the task. ## Quick Start Set up a CLAUDE.md rules file for my project covering the tech stack, build commands, code conventions, and boundaries before we start the next feature.
