What problem does it solve? Writing GitHub issues that autonomous agents can execute end-to-end is tedious and error-prone; vague issues lead to incomplete PRs, missed review feedback, and stalled merges. This Skill produces self-contained work packets that carry an issue from specification through implementation, code review, and squash merge. ## Core Features & Use Cases - Interactive issue scoping: Walks the user through issue type (feature, bug, refactor), description, complexity, and codebase context before generating content. - Template-driven generation: Produces issues with problem statements, technical specifications, TDD test cycles, acceptance criteria, and phased implementation plans. - Full PR lifecycle agent instructions: Embeds protocols for research, implementation, review-comment handling, thread resolution, and squash merge cleanup. - Use Case: A maintainer needs a new caching service built. They run the skill, answer four prompts, and receive a GitHub issue containing Zod schemas, TDD cycles, and step-by-step agent instructions that an autonomous agent follows through to a merged PR. ## Quick Start Ask the assistant to create a GitHub issue for a new feature, bug, or refactor and answer the follow-up questions about scope and complexity.