What problem does it solve? Documents written for AI agents often fail unpredictably: weak descriptions never trigger, bloated files bury key steps, and vague completion criteria let agents stop early. This Skill provides a reference of writing levers that make agent-consumed documents behave consistently across runs. ## Core Features & Use Cases - Context Pointer Design: Rules for writing skill descriptions and AGENTS.md lines that reliably trigger the right material at the right branch. - Information Hierarchy: Guidance on progressive disclosure, co-location, and splitting documents by sequence or invocation to prevent sprawl. - Completion Criteria & Leading Words: Techniques for sharpening step boundaries, raising demand, and anchoring behavior with compact pretrained concepts. - Use Case: When authoring a new skill or editing CLAUDE.md, apply these rules to prune no-op sentences, collapse restatements into leading words, and decide what to inline versus disclose behind a pointer. ## Quick Start Ask the agent to review your draft skill or AGENTS.md file using the writing-for-agents reference and suggest pruning, pointer, and splitting improvements.