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github-project-management

Coordinate GitHub project boards and decompose issues via swarm agents.

Updated Feb 26, 2026
Search Tags:#automation#project management#github#agile#issue tracking#swarm
One-click install
npx skills add https://github.com/dabblersport/webapp --skill github-project-management-dabblersport
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-project-management
Source: https://github.com/dabblersport/webapp/tree/main/.claude/skills/github-project-management
Command: npx skills add https://github.com/dabblersport/webapp --skill github-project-management-dabblersport

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, jq, npx, claude-flow, ruv-swarm.

What problem does it solve?

This skill solves the complexity of managing large-scale software projects by automating issue triage, project board synchronization, and cross-agent swarm coordination.

Core Features & Use Cases

  • Swarm-Coordinated Issue Management: Automatically decompose complex issues into subtasks and assign them to specialized AI agents.
  • Project Board Automation: Maintain real-time synchronization between GitHub project boards and swarm task statuses.
  • Sprint & Analytics: Generate automated burndown charts, velocity reports, and sprint planning insights to keep teams on track.

Quick Start

Use the github-project-management skill to initialize a swarm for issue number 456 and decompose it into actionable subtasks.

Frequently Asked Questions about github-project-management

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate GitHub issue triage and project board synchronization?▼

You can automate GitHub issue triage and project board synchronization by using AI swarm orchestration to decompose issues into subtasks and maintain real-time status synchronization between GitHub project boards and swarm agents.

Can I use AI agents for sprint planning and burndown chart generation in GitHub?▼

Yes, AI swarm agents can generate automated burndown charts, velocity reports, and sprint planning insights by tracking cross-repository task progress and performance analytics using the GitHub CLI.

Do I need the GitHub CLI and jq installed to run AI swarm project management?▼

Yes, the AI swarm project management workflow requires the GitHub CLI (gh) and jq as dependencies, alongside npx, claude-flow, and ruv-swarm to orchestrate agents and process repository data.

What's the best way to decompose complex GitHub issues into actionable subtasks?▼

The best way to decompose complex GitHub issues into actionable subtasks is initializing an AI swarm that automatically breaks down the issue and assigns specialized agents to each subtask.

How does swarm orchestration work for cross-repository task tracking?▼

Swarm orchestration for cross-repository task tracking works by deploying specialized AI agents that synchronize issue statuses across multiple repositories and report aggregated progress metrics back to the project board.

When should I not use AI swarm agents for GitHub project management?▼

AI swarm agents for GitHub project management should not be used for simple, single-repository tracking or when real-time board synchronization is unnecessary, as the orchestration overhead outweighs the automation benefits.

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