technical-documentation
Original:🇺🇸 English
Translated
Build and review high-quality technical docs for brownfield and evergreen documentation systems.
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Sourcevincentkoc/dotskills
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npx skill4agent add vincentkoc/dotskills technical-documentationTags
Translated version includes tags in frontmatterSKILL.md Content
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Purpose
Produce and review technical documentation that is clear, actionable, and maintainable for both humans and agents.
When to use
- Creating or overhauling docs in an existing product/codebase (brownfield).
- Building evergreen docs meant to stay accurate and reusable over time.
- Reviewing doc diffs for structure, clarity, and operational correctness.
Workflow
- Classify task: or
build; context:revieworbrownfield.evergreen - Read for the governing ruleset (Matt Palmer + OpenAI).
references/principles.md - For build tasks, follow .
references/build.md - For review tasks, follow .
references/review.md - Use when platform/tooling choices affect recommendations.
references/tooling.md - In brownfield mode, prioritize compatibility with current docs IA, tooling, and release state.
- In evergreen mode, prioritize timeless wording, update strategy, and durable structure.
- Return deliverables plus validation notes and remaining gaps.
Inputs
- Doc type (tutorial, how-to, reference, explanation) and audience.
- File scope or diff scope.
- Docs framework/tooling constraints (Fern, Mintlify, Sphinx, etc.).
- Build/review mode and brownfield/evergreen intent.
Outputs
- Updated draft or review findings with clear next actions.
- Validation notes (what was checked, what remains).
- Navigation/maintenance recommendations for long-term quality.