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Automating a GitHub issue from triage to pull request creation involves orchestrating the issue through triage, research, planning, and implementation. This Skill manages the full software development lifecycle using a state machine and agentic sub-tasks to generate a ready-to-review pull request.

An autonomous agent for end-to-end issue resolution manages a GitHub issue through its complete software development lifecycle. It handles triage, breaks down large tasks, conducts parallel research, plans sequentially, implements code, and opens a pull request automatically.

Autonomous GitHub issue resolution does not strictly require human oversight, as it supports fully autonomous modes. However, it incorporates human oversight gates and interactive modes to allow human-in-the-loop verification at key stages like plan approval before implementation.

Yes, you need specific GitHub project board configurations for CI/CD workflow state management. The autonomous issue resolution process relies on these specific configurations alongside GitHub API access to manage state transitions across the software development lifecycle.

Yes, you can split large GitHub issues into parallel research and sequential implementation tasks. The Skill automatically breaks down large tasks during the planning phase, enabling parallel research and sequential implementation before generating a pull request.