What problem does it solve? Documents written for AI agents often produce inconsistent behavior: agents skip steps, miss reference material, or rush to premature completion. This Skill provides a reference framework for writing any agent-consumed document 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 at the right branch. - Information hierarchy and progressive disclosure: A ladder model (in-file steps, in-file reference, disclosed reference) for deciding where each piece of content lives, plus co-location and sprawl guidance. - Completion criteria and splitting: Techniques for writing checkable, exhaustive step completion criteria, and criteria for when to split documents by sequence or invocation. - Use Case: When authoring a new skill or editing an AGENTS.md file, apply the leading-word, pruning, and negation-avoidance rules to produce a shorter document the agent follows more reliably. ## Quick Start Use the writing-for-agents skill to review and rewrite my AGENTS.md so the agent follows it consistently.
