GitHub Issue Tracker Skill
Overview
Intelligent issue management with swarm coordination. This skill handles automated issue creation, progress tracking, multi-agent collaboration on complex issues, project milestone coordination, and cross-repository issue synchronization.
Quick Start
# Create an issue
gh issue create --title "Bug: Login fails" --body "Steps to reproduce..." --label "bug"
# List open issues
gh issue list --state open
# View issue details
gh issue view 54
# Add comment to issue
gh issue comment 54 --body "Progress update..."
# Close issue
gh issue close 54 --reason completed
When to Use
- Creating issues with smart templates
- Tracking issue progress with swarm coordination
- Multi-agent collaboration on complex issues
- Project milestone coordination
- Cross-repository issue synchronization
- Automated issue labeling and organization
Core Capabilities
| Capability |
Description |
| Smart templates |
Automated issue creation with templates |
| Progress tracking |
Swarm-coordinated updates |
| Multi-agent collaboration |
Complex issue resolution |
| Milestone coordination |
Project workflow integration |
| Cross-repo sync |
Monorepo issue management |
Usage Examples
1. Create Issue with Swarm Tracking
// 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" })
// Set up automated tracking
mcp__claude-flow__task_orchestrate({
task: "Monitor and coordinate issue progress with automated updates",
strategy: "adaptive",
priority: "medium"
})
2. Create Comprehensive Issue with gh CLI
gh issue create \
--repo owner/repo \
--title "Integration Review: claude-code-flow and ruv-swarm" \
--body "## Overview
Comprehensive review and integration between packages.
## Objectives
- [ ] Verify dependencies and imports
- [ ] Ensure MCP tools integration
- [ ] Check hook system integration
- [ ] Validate memory systems alignment
## Swarm Coordination
This issue will be managed by coordinated swarm agents." \
--label "integration,review,enhancement" \
--assignee username
3. Automated Progress Updates
// Update issue with progress from swarm memory
mcp__claude-flow__memory_usage({
action: "retrieve",
key: "issue/54/progress"
})
// Store progress
mcp__claude-flow__memory_usage({
action: "store",
key: "issue/54/latest_update",
value: JSON.stringify({
timestamp: Date.now(),
progress: "89%",
status: "near_completion"
})
})
# Add progress comment
gh issue comment 54 --body "## Progress Update
### Completed Tasks
- Architecture review completed
- Dependency analysis finished
- Integration testing verified
### Current Status
- Documentation review in progress
- Integration score: 89% (Excellent)
### Next Steps
- Final validation and merge preparation"
4. Search and Coordinate Related Issues
# Search related issues
gh issue list --repo owner/repo --label "integration" --state open --json number,title,labels
# Update issue with milestone
gh issue edit 54 --milestone "v1.0.0"
# Add labels
gh issue edit 54 --add-label "in-progress"
# Transfer issue
gh issue transfer 54 owner/new-repo
5. Batch Issue Operations
[Single Message - Issue Lifecycle Management]:
// Initialize issue coordination swarm
mcp__claude-flow__swarm_init({ topology: "mesh", maxAgents: 4 })
mcp__claude-flow__agent_spawn({ type: "coordinator", name: "Issue Manager" })
mcp__claude-flow__agent_spawn({ type: "analyst", name: "Progress Tracker" })
mcp__claude-flow__agent_spawn({ type: "researcher", name: "Context Gatherer" })
// Create multiple related issues
Bash(`gh issue create --repo owner/repo \
--title "Feature: Advanced GitHub Integration" \
--body "Implement comprehensive GitHub workflow automation..." \
--label "feature,github,high-priority"`)
Bash(`gh issue create --repo owner/repo \
--title "Bug: PR merge conflicts" \
--body "Resolve merge conflicts in integration branch..." \
--label "bug,integration,urgent"`)
Bash(`gh issue create --repo owner/repo \
--title "Documentation: Update integration guides" \
--body "Update all documentation for new workflows..." \
--label "documentation,integration"`)
// Track in todos
TodoWrite({ todos: [
{ id: "github-feature", content: "Implement GitHub integration", status: "pending", priority: "high" },
{ id: "merge-conflicts", content: "Resolve PR conflicts", status: "pending", priority: "critical" },
{ id: "docs-update", content: "Update documentation", status: "pending", priority: "medium" }
]})
// Store coordination state
mcp__claude-flow__memory_usage({
action: "store",
key: "project/github_integration/issues",
value: JSON.stringify({ created: Date.now(), total_issues: 3, status: "initialized" })
})
Smart Issue Templates
Integration Issue Template
## Integration Task
### Overview
[Brief description of integration requirements]
### Objectives
- [ ] Component A integration
- [ ] Component B validation
- [ ] Testing and verification
- [ ] Documentation updates
### Integration Areas
#### Dependencies
- [ ] Package.json updates
- [ ] Version compatibility
- [ ] Import statements
#### Functionality
- [ ] Core feature integration
- [ ] API compatibility
- [ ] Performance validation
#### Testing
- [ ] Unit tests
- [ ] Integration tests
- [ ] End-to-end validation
### Swarm Coordination
- **Coordinator**: Overall progress tracking
- **Analyst**: Technical validation
- **Tester**: Quality assurance
- **Documenter**: Documentation updates
Bug Report Template
## Bug Report
### Problem Description
[Clear description of the issue]
### Expected Behavior
[What should happen]
### Actual Behavior
[What actually happens]
### Reproduction Steps
1. [Step 1]
2. [Step 2]
3. [Step 3]
### Environment
- Package: [package name and version]
- Node.js: [version]
- OS: [operating system]
### Investigation Plan
- [ ] Root cause analysis
- [ ] Fix implementation
- [ ] Testing and validation
- [ ] Regression testing
### Swarm Assignment
- **Debugger**: Issue investigation
- **Coder**: Fix implementation
- **Tester**: Validation and testing
MCP Tool Integration
Swarm Coordination
mcp__claude-flow__swarm_init({
topology: "star", // Central coordinator with peripheral agents
maxAgents: 3,
strategy: "adaptive"
})
Memory Management
// Store issue state
mcp__claude-flow__memory_usage({
action: "store",
key: "issue/54/state",
namespace: "issues",
value: JSON.stringify({
status: "in-progress",
assignees: ["user1"],
labels: ["bug", "high-priority"],
lastUpdate: Date.now()
})
})
// Search issues in memory
mcp__claude-flow__memory_search({
pattern: "issue/*",
namespace: "issues",
limit: 20
})
Best Practices
1. Swarm-Coordinated Issue Management
- Always initialize swarm for complex issues
- Assign specialized agents based on issue type
- Use memory for progress coordination
2. Automated Progress Tracking
- Regular automated updates with swarm coordination
- Progress metrics and completion tracking
- Cross-issue dependency management
3. Smart Labeling and Organization
- Consistent labeling strategy across repositories
- Priority-based issue sorting and assignment
- Milestone integration for project coordination
4. Batch Issue Operations
- Create multiple related issues simultaneously
- Bulk updates for project-wide changes
- Coordinated cross-repository issue management
Integration with Other Skills
| Skill |
Integration |
github-pr-manager |
Link issues to pull requests |
github-release-manager |
Coordinate release issues |
sparc-workflow |
Complex project coordination |
agent-orchestration |
Multi-agent issue resolution |
Metrics and Analytics
Automatic tracking of:
- Issue creation and resolution times
- Agent productivity metrics
- Project milestone progress
- Cross-repository coordination efficiency
Reporting features:
- Weekly progress summaries
- Agent performance analytics
- Project health metrics
- Integration success rates
Version History
- 1.0.0 (2025-01-02): Initial release - converted from issue-tracker agent