What problem does it solve? Documents written for AI agents often fail unpredictably: weak descriptions never trigger, bloated files dilute attention, and vague steps invite premature completion. This Skill provides a reference framework for writing any document an agent consumes so it behaves predictably on every run. ## 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: A ladder model (in-file steps, in-file reference, disclosed reference) plus progressive disclosure and co-location guidance to fight document sprawl. - Completion criteria and splitting: Techniques for sharpening step boundaries, deciding when to split documents by sequence or invocation, and using leading words instead of negation. - Use Case: When authoring a new skill or editing an AGENTS.md file, apply the pruning, duplication, and no-op tests to keep every line earning its context load. ## Quick Start Ask the agent to review your draft skill or AGENTS.md file using the writing-for-agents guidance and suggest improvements to its description and structure.
