What problem does it solve? AI coding agents hallucinate APIs, ignore project conventions, and degrade in quality during long sessions because they receive too little, too much, or stale context. This Skill provides a structured methodology for feeding agents the right information at the right time. ## Core Features & Use Cases - Five-Level Context Hierarchy: Structures context from persistent rules files (CLAUDE.md, AGENTS.md, .cursorrules) down to transient conversation history, with templates for each level. - Context Budget Management: Defines a 75% capacity trimming threshold, cut-first/protect-until-end priorities, and compression-before-deletion strategies to prevent abrupt quality drops in long sessions. - Confusion Management: Provides explicit patterns for surfacing spec conflicts, missing requirements, and inline planning instead of silently guessing. - Use Case: When starting a new feature, you load only the relevant spec section, the files to modify, one existing pattern example, and a constraints block — keeping focused context under 2,000 lines instead of flooding the agent with the entire codebase. ## 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 task.
