github-issue-resolver

Automate GitHub issue triage by polling for new tickets, claiming them to prevent duplicate work, and performing diagnostic investigations. The skill handles the end-to-end issue management lifecycle, including label management, comment posting, and state transitions based on forensic analysis.

Automated issue resolution performs root cause analysis by leveraging system logs and diagnostic tools to investigate claimed issues. It executes deterministic scripts and generates diagnostic reports to determine whether to resolve the issue automatically or escalate it to a human.

Yes, you need the GitHub CLI and local file system access to automate issue management. These dependencies are required to execute deterministic scripts, interact with authorized repository scopes, and generate diagnostic reports for issue resolution.

Yes, autonomous triage handles complex issue state transitions within authorized repository scopes. It manages label updates, posts comments, and transitions issues to resolved states or escalates them to humans based on automated diagnostic reports.

Limitations of autonomous GitHub issue resolution include operating strictly within authorized repository scopes and requiring local file system access. It relies on deterministic scripts and system logs, meaning it escalates issues to humans when automated root cause analysis cannot resolve the incident.

The best way to remove manual toil from GitHub issue tracking is to automate the polling, diagnostic, and reporting lifecycle. Autonomous triage claims new issues, performs forensic analysis, and manages state transitions without duplicate work.