What problem does it solve? Documents written for AI agents often fail unpredictably: agents miss instructions, rush steps, or ignore reference material. This Skill provides a systematic reference for writing agent-facing documents (skills, AGENTS.md, CLAUDE.md) so the agent behaves predictably on 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 right tier (in-file steps, in-file reference, disclosed reference) using progressive disclosure and co-location to prevent sprawl. - Completion criteria and splitting: Define clear, demanding completion criteria for steps, and split documents by sequence or invocation to prevent premature completion. - Use Case: When authoring a new skill or editing an AGENTS.md file, apply the two-loads model (context load vs. cognitive load), leading words, and pruning rules to produce a lean document the agent follows reliably. ## Quick Start Ask the agent to review your SKILL.md or AGENTS.md draft using the writing-for-agents principles and suggest improvements to pointers, structure, and pruning.