What problem does it solve?
Manual GitHub project management, issue tracking, and sprint planning are slow, disjointed, and prone to human error, especially when coordinating work across distributed teams and AI development agents.
Core Features & Use Cases
- Swarm-Coordinated Issue Management: Automatically create, triage, decompose, and track GitHub issues, assigning specialized AI swarms to handle bugs, feature requests, and technical debt with automated progress updates.
- Project Board Automation: Sync swarm task status in real time to GitHub project boards, auto-assign cards to agents, move them through workflow columns based on progress, and generate custom dashboards for team visibility.
- Sprint Planning & Analytics: Plan sprints with capacity forecasting, track velocity and burndown metrics, generate automated standup reports, and coordinate cross-repository project dependencies.
A development team can use this skill to automatically triage dozens of incoming bug reports, assign them to debugger swarms, track progress on their shared project board in real time, and generate weekly sprint performance reports without manual data entry.
Quick Start
Use the github-project-management skill to automatically triage all open unlabeled issues, assign them to appropriate specialized AI swarms, sync their status to your GitHub project board, and generate a daily standup progress report for your team.
