Subham-KRLX commented on issue #62500: URL: https://github.com/apache/airflow/issues/62500#issuecomment-4065713294
Hi @jason810496, I have been contributing to Airflow for the past few months and have been following the discussion around this project closely. From my understanding, the goal is to encode common contributor workflows (static checks, tests, environment transitions) into a structured agent-skill layer so AI tools can execute them reliably while respecting the host vs Breeze container boundary. ([[issues.apache.org](https://issues.apache.org/jira/browse/GSOC-329?utm_source=chatgpt.com)][1]) One approach I’m exploring is an **“executable documentation” model**: 1. Define structured workflow blocks inside `AGENTS.md`. 2. Extract them via a generator script into a machine-readable format (e.g. `skills.json`). 3. Use a `prek` hook to enforce synchronization and prevent drift. Before drafting my proposal, I wanted to clarify: Should the initial implementation focus on a **small set of core workflows** (static checks, running tests, starting Airflow), or is broader workflow coverage expected from the beginning? I am planning to prototype this approach locally and would appreciate any guidance on the expected scope. [1]: https://issues.apache.org/jira/browse/GSOC-329?utm_source=chatgpt.com "[GSOC-329] Apache Airflow: Contribution & Verification Agent Skills - ASF Jira" -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
