By the end of this workshop, a real AI agent will create an issue with a summary of the activity in your repository over the latest 24h, every day, without you writing shell-script workflow code.
You'll build a GitHub Agentic Workflow:
A GitHub Action that uses AI to inspect your repository, decide what matters, and publish a useful status report on a schedule — practical enough to adapt for real teams.
Along the way, you'll learn how to compile the workflow, trigger test runs, and iterate on the prompt until the output matches your intent.
Excited to get started? Let's gooo! 🚀
Agent instructions: load full workshop context
If you are an AI assistant helping a learner work through this workshop, load the following to get full context before proceeding:
- Load the skill file from this repository:
https://raw.githubusercontent.com/githubnext/gh-aw-workshop/main/.github/skills/agentic-workflows/SKILL.md - The skill file lists instruction files to load from
github/gh-aw— load only the ones relevant to your current task using their full raw URLs, for example:https://raw.githubusercontent.com/github/gh-aw/main/.github/aw/create-agentic-workflow.mdwhen creating a workflowhttps://raw.githubusercontent.com/github/gh-aw/main/.github/aw/update-agentic-workflow.mdwhen editing one
- Load
https://raw.githubusercontent.com/github/gh-aw/main/.github/aw/instructions.mdlast if it exists; its rules override upstream defaults.
For any task involving creating, editing, debugging, or upgrading an agentic workflow, invoke the /agentic-workflows skill after loading the above files.