Babysit Babysitter Issues
Fetch open GitHub issues from https://github.com/a5c-ai/babysitter/issues assigned to a5c-agent, then orchestrate work on each issue via /babysitter:call.
Workflow
Step 1: Fetch Assigned Issues
Use the gh CLI to list open issues assigned to a5c-agent:
gh issue list --repo a5c-ai/babysitter --assignee a5c-agent --state open --json number,title,url,labels --limit 50
If no issues are found, report that there are no open issues assigned to a5c-agent and stop.
Step 2: Present Issues
Display the list of open issues to the user with their number, title, labels, and URL.
Step 3: Orchestrate via Babysitter
For each issue, invoke the babysitter:yolo skill with a prompt that includes the issue URL and context:
/babysitter:yolo work on this GitHub issue: <issue_url>
If multiple issues are selected, process them sequentially -- complete one before starting the next. Present a summary after each issue is processed. as part of the process, create a new branch from staging named issue-<number> and push commits to that branch. then create a pull request against staging with a meaningful name and a description of the work done (with link to the original issue). if the issue has a "bug" label, prioritize fixing the bug and include details about the bug and how it was fixed in the pull request description.
Step 4: Summary
After all open a5c-assigned issues have been processed, provide a summary of what was done for each issue.
Notes
- Only issues assigned to
a5c-agentare fetched. Other assignees are ignored. - The
ghCLI must be authenticated. If authentication fails, prompt the user to rungh auth login. - Each issue is handed off to
/babysitter:yolowhich handles the actual implementation work. - the entire workflow should be without any user interaction or breakpoints in the run, allowing for a seamless babysitting experience. do not let the user select which issues to work on -- just process all open a5c-assigned issues sequentially.