What problem does it solve?
This Skill addresses the difficulty of authoring documentation that is both human-readable and directly actionable by AI agents by enforcing concise, structured, and token-efficient Diátaxis-aligned content so agents can find and act on the right information without context bloat or ambiguity.
Core Features & Use Cases
- Agent-First Constraints: Guidelines for token efficiency, structural predictability, and explicit constraints to reduce misinterpretation by agents.
- Diátaxis Mapping: Clear patterns for splitting content into Tutorials, How-to Guides, Reference, and Explanation to match agent goals (procedural, semantic, conceptual).
- Verification & Golden Path: Emphasizes single runnable "golden path" examples, explicit verification steps, and deterministic reference entries for reliable automation.
- Use Cases: Onboard an agent to a new codebase, refactor READMEs into agent-ready sections, and produce deterministic reference docs for tooling and APIs.
Quick Start
Refactor the project's README into Diátaxis sections by adding a short runnable tutorial, a how-to recipe with explicit verification steps, a concise reference of facts, and a brief explanation optimized for AI agents.