What problem does it solve?
It solves the problem of keeping GitHub issue triage, sprint planning, and project board status synchronized when work is moving quickly and involves many contributors and dependencies.
Core Features & Use Cases
- Swarm-coordinated issue creation and decomposition: Turn large epics or feature requests into tracked work items with roles (e.g., coordinator, researcher, coder, tester) and auto-managed progress.
- Automated project board synchronization: Initialize projects, map task/agent states to board columns, keep card metadata consistent, and move cards automatically based on rules.
- Sprint planning and progress analytics: Manage sprints/milestones, track velocity and cycle time, generate KPI-style reports, and coordinate release planning using board data.
Use case: You have a feature epic that needs structured decomposition, continuous board updates, and regular progress reporting; you can create the issue(s), decompose into subtasks, assign the right agents, and keep the project board accurate without manual bookkeeping.
Quick Start
Ask the AI to initialize a swarm-driven workflow for a GitHub issue and synchronize it to a GitHub project board with real-time progress updates using GitHub CLI and the required MCP tools.