What problem does it solve?
Manually creating GitHub issues for the aihub-core project that adhere to the team's strict formatting, labeling, and board tracking conventions is time-consuming and error-prone, leading to inconsistent issues that do not meet review standards and are often missed in sprint planning.
Core Features & Use Cases
- Convention Enforcement: Automatically applies the project's required title format, body structure (In scope / Out of scope / Accepted when sections), and labeling rules to new issues.
- Board Integration: Adds newly created issues directly to the AI-Scrum project board with correct Item Type, Status, and Priority fields pre-populated.
- Validation & Relationship Wiring: Runs post-creation checks to confirm issue compliance, and supports linking parent epics, child issues, and blocked-by dependencies.
- Use Case: A developer filing a bug for a RAG agent crash can use this skill to generate a properly formatted issue with the correct area labels, set its priority to P1, add it to the sprint board, and link it to the relevant parent epic in seconds, with no manual formatting or board editing required.
Quick Start
Use the write-issue skill to create a new bug report for the RAG agent crashing on image nodes, set its priority to P1, and add it to the AI-Scrum board.