Technical Writing

This skill enables an AI agent to produce high-quality technical documentation across a range of formats — API references, user guides, getting-started tutorials, changelogs, architecture decision records, and more. The agent analyzes the target audience, structures information logically, applies consistent formatting standards, and ensures every document is accurate, scannable, and actionable.

Workflow

1. Identify Document Type and Audience Determine which type of document is needed (API reference, tutorial, user guide, changelog, architecture doc) and who will read it (beginner developers, experienced engineers, end users, stakeholders). Adjust vocabulary, depth, and assumed prerequisites accordingly. A tutorial for beginners should explain every step; an API reference for senior engineers should be terse and precise.

2. Gather Source Material Collect all relevant inputs: source code, existing documentation, design documents, user stories, API schemas (OpenAPI/Swagger), commit histories, or stakeholder interviews. Identify the authoritative source for each piece of information to ensure accuracy. Note any gaps that need clarification.

3. Design the Document Structure Create an outline following the conventions of the document type. API references use a consistent per-endpoint template. Tutorials follow a step-by-step progression. Architecture docs follow a decision-record format (context, decision, consequences). Plan where code examples, tables, and callout boxes will appear.

4. Write the Content Draft the document using clear, direct language. Prefer active voice and short sentences. Lead each section with the most important information. Include complete, runnable code examples that readers can copy and execute. Use consistent terminology and define acronyms on first use. Format according to the chosen standard (Markdown, reStructuredText, AsciiDoc).

5. Add Navigation and Cross-References