What problem does it solve? Documents written for AI agents often fail unpredictably: agents skip steps, miss reference material, or rush to completion. This Skill provides a systematic reference for writing any document an agent consumes so the agent follows the same process every run. ## Core Features & Use Cases - Context pointer design: Write descriptions and pointer lines whose wording reliably triggers the agent to reach the right material at the right branch. - Information hierarchy: Place content on the ladder from in-file steps to disclosed reference, using progressive disclosure and co-location to prevent sprawl. - Completion criteria and splitting: Define clear, demanding done-conditions for every step, and split documents by sequence or invocation to prevent premature completion. - Use Case: When creating a new skill or editing an AGENTS.md file, apply the leading-word, pruning, and two-loads (context vs. cognitive) frameworks to produce a lean document the agent executes consistently. ## Quick Start Ask the agent to review your draft skill or AGENTS.md file using the writing-for-agents principles and suggest concrete revisions.