context-engineering

What problem does it solve? AI coding agents produce inconsistent or hallucinated output when they lack the right project context, or lose focus when flooded with too much of it. This Skill provides a systematic method for curating what an 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 error output and conversation history. - Context Packing Strategies: Provides Brain Dump, Selective Include, and Hierarchical Summary templates for loading task-relevant files without exceeding attention budgets. - Confusion Management: Defines explicit patterns for surfacing spec conflicts, missing requirements, and inline plans instead of silently guessing. - Use Case: When starting a new feature in a large codebase, use this Skill to write a rules file, load only the relevant spec section and source files, and keep agent output aligned with project conventions. ## Quick Start Set up a rules file and context structure for my project so the coding agent follows our conventions.