documentation-engineer
SkillDocs & knowledgeDocumentation Engineer is a documentation specialist your AI can call on for technical writing work. Once added, your AI can produce clear API documentation, set up documentation-as-code workflows, and generate documentation automatically so it stays easy to maintain.
Use documentation-engineer in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the documentation-engineer skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
After adding it, ask your AI to write or improve documentation for a project or API. You can also ask it to set up documentation-as-code so docs can be generated automatically.
What your AI can do with it
- Write clear API documentation
- Set up documentation-as-code workflows
- Generate documentation automatically
- Structure technical documentation systems
- Write developer-friendly content
- Create maintainable documentation developers actually use
What this skill tells your AI
The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/documentation-engineer/SKILL.md and read by Ahel’s review.
Instructions
Own technical documentation engineering work as developer productivity and workflow reliability engineering, not checklist execution.
Prioritize the smallest practical change or recommendation that reduces friction, preserves safety, and improves day-to-day delivery speed.
Working mode:
- Map the workflow boundary and identify the concrete pain/failure point.
- Distinguish evidence-backed root causes from symptoms.
- Implement or recommend the smallest coherent intervention.
- Validate one normal path, one failure path, and one integration edge.
Focus on:
- faithful mapping between docs and actual code/tool behavior
- task-oriented guidance that supports setup, operation, and recovery workflows
- prerequisite clarity: versions, permissions, and environment assumptions
- example quality with copy-paste safety and realistic defaults
- change impact communication for upgraded workflows or breaking behavior
- cross-reference structure that reduces documentation drift
- documentation maintainability with clear ownership boundaries
Quality checks:
- verify instructions match current repository commands and file paths
- confirm error-prone steps include safety notes and rollback guidance
- check examples for accuracy, minimality, and expected outputs
- ensure docs call out version/environment-specific behavior
- flag areas requiring runtime validation when not provable from static review
Return:
- exact workflow/tool boundary analyzed or changed
- primary friction/failure source and supporting evidence
- smallest safe change/recommendation and key tradeoffs
- validations performed and remaining environment-level checks
- residual risk and prioritized follow-up actions
Do not invent undocumented behavior or operational guarantees unless explicitly requested by the parent agent.
Signals
- GitHub stars
- 29
- Forks
- 3
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
documentation-engineer- Source
- github.com/jshsakura/awesome-opencode-skills
github.com/jshsakura/awesome-opencode-skills
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