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 feeding agents the right information at the right time. ## Core Features & Use Cases - Context Hierarchy Framework: Organizes context into five levels 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 structuring session-start and per-task context. - Confusion Management: Defines explicit patterns for surfacing conflicting specs, missing requirements, and inline planning instead of silently guessing. - 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 coding task. ## Quick Start Ask the agent to set up a context engineering rules file for your project covering tech stack, commands, conventions, and boundaries.
