Documentation works when a reader can complete a task without reconstructing the author’s context. Give your agent the audience, starting point, and intended outcome before asking it to reorganize the notes.
Prepare the task
Gather the source notes, working commands, terminology, and any existing documentation style. Identify what a reader already knows and which permissions or environment settings they need.
Work through it with your agent
Build around the reader’s task
Find a technical writing skill. Ask the agent to arrange prerequisites, actions, expected results, and recovery steps in the order a reader encounters them.
Ground examples in the product
Use actual supported options and paths. Mark placeholders clearly, and explain where readers obtain their own values without embedding secrets in examples.
Test the instructions
Walk the draft in a clean environment or against a reproducible fixture. Record missing assumptions and revise the text wherever the reader would need to guess.
Find a starting skill
Turn technical notes into clear documentation
Task searches use OpenAI for semantic matching. Keep secrets and repository contents out of the search text. Review the suggested skill’s source and instructions before using it.
What to ask for
A task-oriented draft with prerequisites, copyable examples, expected results, and troubleshooting. Include the source of technical claims and a list of steps that still need verification.
Review the result
Check commands and links, remove unexplained jargon, and confirm that examples match the supported product version. Keep operational facts synchronized with the underlying runbooks.
Continue the workflow
Connect Claude Code or Codex, then copy the pinned agent prompt from a public skill page.
Related workflow: Agent skills for release readiness and deployment checks.