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Docs maintenance

Skill Amey-Thakur/AI-SKILLS/skills/documentation/docs-maintenance

Keep documentation from rotting through staleness detection, ownership, doc tests, and deliberate deprecation. Use when docs have drifted from reality or no process keeps them current.From its SKILL.md

Install
npx -y skills add Amey-Thakur/AI-SKILLS --skill docs-maintenance

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SKILL.md

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Docs maintenance

Documentation decays the moment it is written, because the code keeps moving and the docs do not. Stale docs are worse than missing docs: they mislead confidently, and readers trust them until burned. Maintenance is the process that keeps docs true, and it must be systematic because good intentions do not survive a busy quarter.

Method

  1. Test what can be tested. Code examples run in CI (see docs-as-code, tutorial-writing), links checked, generated reference regenerated on every build (see api-reference-docs): so the mechanically-verifiable parts of docs break the build when they drift, not the reader's afternoon three months later. This catches the highest-impact staleness automatically.
  2. Change docs with the code that invalidates them. The PR that changes behavior updates the affected docs (see docs-as-code): this is the single most effective maintenance practice, because it fixes drift at the moment it would occur, by the person who knows what changed, while it is fresh (see pull-request-size's same-PR discipline).
  3. Assign ownership. Every doc (or doc area) has an owner accountable for its accuracy (see code-owners): ownerless docs are nobody's job and rot fastest. The owner is not the sole author but the person who ensures it stays true, reviews changes to the code it describes, and answers "is this still right".
  4. Detect staleness actively. Signals: docs referencing removed features or old commands, last-updated dates far behind the code's, support questions revealing a gap or error, analytics showing high-traffic pages (worth maintaining) vs dead ones (candidates to cut). A periodic review pass (quarterly) against these signals catches what automated tests cannot (see the drift-monitoring ethic, applied to docs).
  5. Deprecate and delete deliberately. Docs for removed features get removed (see feature-sunsetting's honesty); superseded guides get a redirect or a clear "outdated, see X"; the docs graveyard of half-true old pages is its own information-architecture problem (see docs-information-architecture). Deleting stale docs is maintenance, not loss: a wrong page removed is a reader un-misled.
  6. Make maintenance low-friction and shared. If fixing a doc is a one-line PR with a preview (see docs-as-code), the whole team fixes what they notice (see boy-scout-rule); if it requires a separate CMS and process, only the docs silo touches it and drift wins. Low friction plus shared ownership is what makes maintenance actually happen.

Boundaries

  • Not all docs deserve equal maintenance; high-traffic, high-stakes docs (getting-started, API reference, security: see api-reference-docs) get rigorous upkeep, low-traffic internal notes get less. Spend maintenance where readers and consequences are.
  • Automated checks catch mechanical drift (broken examples, dead links) but not semantic drift (prose that is subtly wrong now): human review and the same-PR discipline remain necessary (the same limit as data-quality-checks vs semantic correctness).
  • A maintenance process cannot rescue docs with no owner and no co-location; docs-as-code and ownership (steps 2-3) are the prerequisites that make the rest possible.

What ships with it

Read from the repository

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