What problem does it solve?
This Skill automates the start of work on a GitHub issue by orchestrating a structured deep-dive workflow (research, innovate, plan) with automated task tracking and comments. This helps teams ensure consistent exploration and planning for new issues.
Core Features & Use Cases
- Todo-driven deep-dive workflow: automatically initializes and updates all phases (fetch issue details, check artifacts, execute research → innovate → plan, post comments, and finalize with a pending label).
- Automated phase execution: runs research, innovation, and planning in sequence with an auto-continue mode and keeps a live todo list updated.
- Comment posting and artifact management: posts phase results as issue comments and stores interim artifacts in /tmp/deep-dive folders for traceability.
- Use Case: When a new GitHub issue is opened, the skill can kick off a structured deep-dive, document findings, propose a plan, and prepare actionable steps for the team.
Quick Start
Start a deep-dive on an issue by providing its ID. For example, begin issue 123 to trigger the automated research, innovation, and planning phases, with results posted as comments and the issue labeled pending when awaiting human review.