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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallTo get started with GitHub Agentic Workflows, install GitHub CLI and the gh-aw extension, then add a prebuilt workflow with the wizard—or initialize a repository and create your own Markdown workflow. GitHub Actions runs the compiled workflow, while the selected AI engine determines which credentials you need. Agentic Workflows are in public preview and subject to change, so check the current GitHub Docs before relying on specific commands or configuration.
What GitHub Agentic Workflows do
GitHub Agentic Workflows let you describe repository automations in Markdown and choose a coding agent to carry them out. Each workflow has YAML frontmatter for settings such as triggers, permissions, allowed outputs, and engine, followed by natural-language instructions for the agent. The gh-aw GitHub CLI extension compiles that Markdown source into a GitHub Actions workflow file ending in .lock.yml.
GitHub Actions executes the compiled workflow. You keep and review both the human-authored Markdown file and the generated workflow file in your repository. For an overview, see GitHub’s introduction to Agentic Workflows.
Choose a first workflow: prebuilt or custom
Fastest route: add a prebuilt workflow
GitHub’s quickstart uses a prebuilt daily repository status workflow. The wizard checks repository prerequisites and asks you to select an AI engine. It is an example to get a first run going, not a recommendation that every repository needs daily status automation. GitHub estimates about 10 minutes for that tutorial; this is an estimate for the example, not a general setup guarantee.
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- Make sure you have a repository where you can write and GitHub Actions is enabled.
- Install and authenticate GitHub CLI, then install the extension using the commands below.
- Run
gh aw add-wizard githubnext/agentics/daily-repo-statusfrom the repository context and follow the prompts to choose an engine. - Review the added workflow and its permissions, then run it using its configured trigger, GitHub’s Actions interface, or a supported GitHub CLI command.
Follow GitHub’s Agentic Workflows quickstart for the prebuilt path.
Custom route: author a workflow in your repository
- Initialize the repository for Agentic Workflows with
gh aw init. - Create a Markdown workflow file with YAML frontmatter and instructions. You can use a coding agent or VS Code in the repository context to draft it.
- Compile it with
gh aw compile, then inspect both the Markdown source and generated.lock.ymlfile. - Commit both files. If you later change the frontmatter, compile again before committing so the generated workflow reflects the configuration.
See GitHub’s workflow creation guide for authoring details. For example, GitHub’s tutorial demonstrates a pull-request reviewer that runs when a pull request is opened or updated and leaves a review.
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Prerequisites and installation
GitHub’s quickstart lists Linux, macOS, and Windows with WSL as supported environments. You need GitHub CLI version 2.0.0 or later, authenticated with access to the repository; an account for the AI engine you select; a repository where you have write access; and GitHub Actions enabled.
The quickstart’s authentication command requests the repository and workflow scopes:
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gh auth login --scopes repo,workflow
Install the extension with:
gh extension install github/gh-aw
The quickstart says a Copilot plan is required only if you choose Copilot as the engine. Its setup pages do not establish that the other engines are free or included with any account.
Select an engine and configure its credentials
GitHub’s setup tutorial lists Copilot CLI, Claude Code, OpenAI Codex, and Google Gemini CLI. Copilot is the quickstart’s default; you can select another supported engine in the setup flow. Your choice changes the credential configuration. The options documented by GitHub are:
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| Engine and repository context | Credential or setting documented by GitHub |
|---|---|
| Claude Code | Set the ANTHROPIC_API_KEY secret. |
| OpenAI Codex | Set the OPENAI_API_KEY secret. |
| Google Gemini CLI | Set the GEMINI_API_KEY secret. |
| Copilot in a personal repository | Use COPILOT_GITHUB_TOKEN; GitHub’s tutorial specifies Copilot Requests set to Read. |
| Copilot in an organization-owned repository with Copilot billing | Use the built-in GITHUB_TOKEN with copilot-requests: write. |
For the documented secret-based setup, store secrets as repository secrets. Organization-owned repositories using Copilot billing follow the distinct built-in token path above. Consult the quickstart and the setup tutorial for the current engine and credential instructions. Those pages do not provide a comparable current price list for the engines or GitHub Actions, so check their current pricing separately if cost affects your choice.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Review permissions and safe outputs before enabling a workflow
GitHub says Agentic Workflows run in firewalled containers with read-only tokens by default. Write operations are limited to declared safe outputs, and GitHub documents agentic threat detection. These are design controls, not a guarantee that a particular workflow is risk-free.
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Before committing or enabling a workflow, inspect its Markdown frontmatter and compiled .lock.yml. Confirm that its triggers, permissions, and allowed outputs match the task, and understand what changes it can make. GitHub describes these controls in its Agentic Workflows overview.
What to expect from preview status
GitHub Docs identifies Agentic Workflows as a public preview and says they are subject to change. Treat commands, supported engines, and authentication steps as version-sensitive; if a setup step differs from the documentation here, follow GitHub’s current quickstart and creation guide.
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