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How to turn one recorded task into a reusable Skill with Skill Recorder

Record a task once, analyze it with Copilot, and generate a SKILL.md an agent can run.

Remote script. The installer is a one-line command that downloads a pinned Node.js runtime and builds the app on your machine, so review it with the release page's inspect-first instructions if your organization requires it.

Who it is forAn office worker or analyst who submits the same forms, reports, or web tasks every week and wants an agent to handle the next one.

The problemRepeating a multi-step computer task by hand is slow, and writing agent instructions from scratch is hard without a clear example.

The outcomeA SKILL.md procedure that generalizes from your single recording, such as submitting one form and applying the same steps to all of them.

What you need first

  • A GitHub account with Copilot access (the Copilot CLI ships with the app)
  • macOS, Windows 11 (x64 or ARM64), or Ubuntu
  • Screen Recording permission on macOS, granted on first launch
  • Node.js 24 only if you develop from source

Steps

  1. Open the latest release page and copy the Commit-pinned installation command for your operating system, then paste it into PowerShell or Terminal and press Enter.
  2. On macOS, grant Screen Recording permission when Skill Recorder asks on first launch.
  3. Press record (or Ctrl+Shift+R on Windows, ⌘⇧R on macOS), do the task once, then finish the recording.
  4. Click Analyze, sign in to Copilot if prompted, then review and edit the intent and ordered steps until they read right.
  5. Choose Review SKILL.md to read the generated file, then choose Add or Export to create the Skill.

Prompt for your agent

Use the Skill Recorder repo at microsoft/skill-recorder to turn my recording of <task name> into a Skill. Expected output: a SKILL.md file with frontmatter and ordered steps that prefer native tools over UI clicks. Verify that the procedure applies to a second example of the same task before you rely on it.

Caveat. Choosing Analyze sends the event timeline, screen images, narration text, and requested terminal excerpts to GitHub's cloud for Copilot to process.

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