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Skill Recorder
Skill Recorder is a Microsoft desktop app for showing an AI agent how you complete a computer task instead of describing the whole workflow from memory.
It records one on-screen work session, uses GitHub Copilot to reconstruct the intent and ordered steps, then can turn the reviewed result into a reusable Skill or scheduled Automation. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A recorder for teach-by-example workflows
The desktop app captures screen activity, window and app changes, and optional spoken narration. Its optional session terminal also records commands and output. After recording, Copilot turns that evidence into an intent and a sequence you can inspect and edit.
Why it stands out
The recording becomes editable instructions
The result is not a blind replay of mouse movements. Skill Recorder aims to generalize one example into a SKILL.md procedure or Automation that prefers an agent's own tools when available.
Availability
Source-built app with a Copilot requirement
The project publishes source-only releases for macOS, Windows 11, and Ubuntu. Installation builds a pinned release on your machine, and analysis requires a GitHub account with Copilot access.
Why it matters
What makes it useful
A familiar task can contain small choices that are hard to remember while writing instructions. Recording the real run gives you a starting sequence to correct, trim, and reuse instead of drafting every step from a blank page.
What to know
Where it fits
Use it for repeatable computer work that you can demonstrate safely, such as navigating a known tool or completing a routine form. After the recording, add the missing branches: what should happen when a page changes, permission is denied, or a person needs to approve the next step.
Notable points
What stands out
The project says recording, frame extraction, storage and optional narration transcription happen locally. Analyze sends an event timeline, extracted screen images and narration text to GitHub's cloud. The timeline can include window or document titles, clipboard previews, macOS browser URLs and recorded-terminal commands; analysis can also request bounded excerpts from that terminal's output.
Before using
What to review
Keep passwords, tokens, confidential documents, private messages, and other sensitive material out of the recording. The project warns that captured material is sent to GitHub when Analyze is used.
If you open the session terminal from the recording bar, its complete local transcript is saved without an app-imposed size cap. It does not monitor terminals you already had open; still check what the recorded commands and output expose.
Choose a task with clear boundaries. One recording can miss alternate paths, error cases, permissions, and approval points that a reusable skill still needs.
Read and edit the reconstructed intent and steps before generating anything. A recording shows what happened once; it does not prove that every inferred instruction is correct.
Expect a source-build installation rather than a normal prebuilt installer. The documented path downloads a pinned Node.js runtime and builds the selected release locally.
Check the current repository terms and the GitHub Copilot requirements for your intended setup.
Reader fit
Who may find it relevant
People who can demonstrate a routine more easily than they can write a complete agent procedure.
Builders who want an editable SKILL.md starting point from a real workflow.
Teams willing to review captures carefully before sending them for cloud analysis.
Less relevant if the task contains secrets, cannot be safely recorded, needs a prebuilt one-click app, or must avoid GitHub Copilot.
Editorial note
Why LifeHubber lists it
For a builder turning a demonstration into an agent procedure, Skill Recorder connects the generated file preview to the actual installation or export, letting the builder inspect the complete artifact at that handoff. Reviewing the inferred steps is different from reviewing the file an agent will receive. Before adding or exporting a Skill, choose Review SKILL.md to inspect the complete generated text, including its frontmatter and substituted values. If it needs changes, edit the plan and prepare a new preview. The documented install or export uses that exact preview without another model turn; direct Add or Export can skip this review.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Improve the skill after the first recording.
Skill Recorder turns one demonstrated workflow into an editable skill. SkillOpt explores the next problem: using agent trajectories and validation checks to revise an existing skill.
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