What problem does it solve? Documentation written for AI agents often fails because agents miss buried instructions, finish steps prematurely, or drown in bloated context. This Skill provides a systematic framework for writing agent-facing documents—skills, AGENTS.md/CLAUDE.md files, and referenced materials—so every run follows the same process reliably. ## Core Features & Use Cases - Context Pointers & Information Hierarchy: Teaches how to structure documents across inline steps, in-file references, and progressively disclosed external files so agents load only what each branch needs. - Completion Criteria & Lead Words: Shows how to write checkable, exhaustive step-completion standards and use compact pre-trained vocabulary (lead words) to anchor agent behavior with minimal tokens. - Skill Mechanics Reference: Covers skill-specific decisions via SKILL-MECHANICS.md, including frontmatter, model-invoked vs user-invoked invocation modes, and router skills. - Use Case: When revising an AGENTS.md that agents keep ignoring, apply the pointer wording rules and trimming discipline to strengthen trigger phrases, remove no-op instructions, and split content by branch. ## Quick Start Use the writing-for-agents skill to review and rewrite my AGENTS.md file so the agent reliably follows it.