A comprehensive skill for managing GitHub projects using AI swarm coordination. This skill combines intelligent issue management, automated project board synchronization, and swarm-based coordination for efficient project delivery.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongithub-project-managementExecute the skills CLI command in your project's root directory to begin installation:
Fetches github-project-management from ruvnet/claude-flow and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate github-project-management. Access via /github-project-management in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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A comprehensive skill for managing GitHub projects using AI swarm coordination. This skill combines intelligent issue management, automated project board synchronization, and swarm-based coordination for efficient project delivery.
# Create a coordinated issue
gh issue create \
--title "Feature: Advanced Authentication" \
--body "Implement OAuth2 with social login..." \
--label "enhancement,swarm-ready"
# Initialize swarm for issue
npx claude-flow@alpha hooks pre-task --description "Feature implementation"
# Get project ID
PROJECT_ID=$(gh project list --owner @me --format json | \
jq -r '.projects[0].id')
# Initialize board sync
npx ruv-swarm github board-init \
--project-id "$PROJECT_ID" \
--sync-mode "bidirectional"
// Initialize issue management swarm
mcp__claude-flow__swarm_init { topology: "star", maxAgents: 3 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Issue Coordinator" }
mcp__claude-flow__agent_spawn { type: "researcher", name: "Requirements Analyst" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Implementation Planner" }
// Create comprehensive issue
mcp__github__create_issue {
owner: "org",
repo: "repository",
title: "Integration Review: Complete system integration",
body: `## 🔄 Integration Review
### Overview
Comprehensive review and integration between components.
### Objectives
- [ ] Verify dependencies and imports
- [ ] Ensure API integration
- [ ] Check hook system integration
- [ ] Validate data systems alignment
### Swarm Coordination
This issue will be managed by coordinated swarm agents for optimal progress tracking.`,
labels: ["integration", "review", "enhancement"],
assignees: ["username"]
}
// Set up automated tracking
mcp__claude-flow__task_orchestrate {
task: "Monitor and coordinate issue progress with automated updates",
strategy: "adaptive",
priority: "medium"
}
# Create multiple related issues using gh CLI
gh issue create \
--title "Feature: Advanced GitHub Integration" \
--body "Implement comprehensive GitHub workflow automation..." \
--label "feature,github,high-priority"
gh issue create \
--title "Bug: Merge conflicts in integration branch" \
--body "Resolve merge conflicts..." \
--label "bug,integration,urgent"
gh issue create \
--title "Documentation: Update integration guides" \
--body "Update all documentation..." \
--label "documentation,integration"
<$details>
# Get issue details
ISSUE_DATA=$(gh issue view 456 --json title,body,labels,assignees,comments)
# Create swarm from issue
npx ruv-swarm github issue-to-swarm 456 \
--issue-data "$ISSUE_DATA" \
--auto-decompose \
--assign-agents
# Batch process multiple issues
ISSUES=$(gh issue list --label "swarm-ready" --json number,title,body,labels)
npx ruv-swarm github issues-batch \
--issues "$ISSUES" \
--parallel
# Update issues with swarm status
echo "$ISSUES" | jq -r '.[].number' | while read -r num; do
gh issue edit $num --add-label "swarm-processing"
done
Execute swarm operations via issue comments:
<!-- In issue comment -->
$swarm analyze
$swarm decompose 5
$swarm assign @agent-coder
$swarm estimate
$swarm start
<$details>
// .github$swarm-labels.json
{
"rules": [
{
"keywords": ["bug", "error", "broken"],
"labels": ["bug", "swarm-debugger"],
"agents": ["debugger", "tester"]
},
{
"keywords": ["feature", "implement", "add"],
"labels": ["enhancement", "swarm-feature"],
"agents": ["architect", "coder", "tester"]
},
{
"keywords": ["slow", "performance", "optimize"],
"labels": ["performance", "swarm-optimizer"],
"agents": ["analyst", "optimizer"]
}
]
}
# Analyze and triage unlabeled issues
npx ruv-swarm github triage \
--unlabeled \
--analyze-content \
--suggest-labels \
--assign-priority
# Find and link duplicate issues
npx ruv-swarm github find-duplicates \
--threshold 0.8 \
--link-related \
--close-duplicates
<$details>
# Get issue body
ISSUE_BODY=$(gh issue view 456 --json body --jq '.body')
# Decompose into subtasks
SUBTASKS=$(npx ruv-swarm github issue-decompose 456 \
--body "$ISSUE_BODY" \
--max-subtasks 10 \
--assign-priorities)
# Update issue with checklist
CHECKLIST=$(echo "$SUBTASKS" | jq -r '.tasks[Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
We added github-project-management from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
github-project-management fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend github-project-management for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
github-project-management has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: github-project-management is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for github-project-management matched our evaluation — installs cleanly and behaves as described in the markdown.
github-project-management is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: github-project-management is the kind of skill you can hand to a new teammate without a long onboarding doc.
github-project-management fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added github-project-management from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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