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seanchatmangpt
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github-project-management

Automates GitHub issue lifecycle, project board sync, and sprint planning.

3|Updated Oct 8, 2025
Search Tags:#automation#project management#github#agile#issue tracking#sprint planning#swarm
One-click install
npx skills add https://github.com/seanchatmangpt/ggen --skill github-project-management-seanchatmangpt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-project-management
Source: https://github.com/seanchatmangpt/ggen/tree/main/.archive/.claude-backup/.claude/skills/github-project-management
Command: npx skills add https://github.com/seanchatmangpt/ggen --skill github-project-management-seanchatmangpt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ruv-swarm, claude-flow, gh, jq, bash, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines GitHub project management by automating issue tracking, project board synchronization, and sprint planning using AI swarm coordination.

Core Features & Use Cases

  • Automated Issue Management: Create, triage, and decompose issues with AI assistance.
  • Project Board Automation: Synchronize tasks with GitHub Projects, automate card transitions, and generate reports.
  • Sprint Planning: Facilitate agile and kanban workflows, track velocity, and manage releases.
  • Use Case: Automatically create detailed subtasks from a new feature request, assign them to appropriate agents, and update the GitHub project board in real-time.

Quick Start

Use the github-project-management skill to create a new issue titled "Implement user authentication" and assign it to the "backend" team.

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 tracking and sprint planning?▼

Automate GitHub issue tracking and sprint planning by using AI swarm coordination to decompose issues, synchronize project boards, and facilitate agile workflows. The system assigns tasks to agents and updates boards in real-time.

What is AI-driven task decomposition for project board automation?▼

AI-driven task decomposition takes a high-level feature request, breaks it into detailed subtasks, assigns them to agents, and synchronizes the results onto your GitHub project board.

How do I synchronize tasks with GitHub Projects using AI agents?▼

Synchronize tasks with GitHub Projects by integrating the GitHub CLI with custom MCP servers to orchestrate workflow automation, enabling automatic card transitions and real-time board updates.

Do I need GitHub CLI and bash to manage agile project boards with AI?▼

Yes, managing agile project boards with AI requires GitHub CLI, bash, jq, ruv-swarm, and claude-flow dependencies to execute swarm coordination, parse JSON, and automate issue lifecycle management.

Can I use kanban methodologies for tracking velocity and releases in GitHub?▼

Yes, you can use kanban methodologies for tracking velocity and releases in GitHub by leveraging AI swarm coordination to manage the issue lifecycle, automate transitions, and generate reports.

What are the limitations of using AI swarm coordination for GitHub issue lifecycle management?▼

AI swarm coordination for GitHub issue lifecycle management depends heavily on bash and jq environments, requiring dependencies like ruv-swarm and claude-flow to be configured to avoid orchestration failures.

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