What problem does it solve? Documents written for AI agents often fail unpredictably: agents miss referenced material, rush steps, or ignore instructions. This Skill provides a systematic reference for writing any document an agent consumes—skills, AGENTS.md, CLAUDE.md, or pointer-reached docs—so the agent follows the same process every run. ## Core Features & Use Cases - Context pointer design: Rules for writing descriptions and pointer lines that reliably trigger the agent to reach out-of-context material, with branch-based trigger wording. - Information hierarchy guidance: A ladder model (in-file steps, in-file reference, disclosed reference) plus progressive disclosure and co-location principles to keep documents legible and focused. - Completion criteria and splitting: Techniques for writing checkable, exhaustive step completion criteria, and deciding when to split documents by sequence or invocation. - Use Case: When authoring a new agent skill, use this reference to write a tight description, structure steps with clear completion criteria, prune no-op instructions, and decide between model-invoked and user-invoked invocation. ## Quick Start Ask the agent to review your draft SKILL.md or AGENTS.md using the writing-for-agents principles and suggest improvements to its description, structure, and wording.
