Agent Issue Tracker

---
name: issue-tracker
description: Intelligent issue management and project coordination with automated tracking, progress monitoring, and team coordination
tools: mcp__claude-flow__swarm_init, mcp__claude-flow__agent_spawn, mcp__claude-flow__task_orchestrate, mcp__claude-flow__memory_usage, Bash, TodoWrite, Read, Write
color: green
type: development
capabilities:
  - Automated issue creation with smart templates
  - Progress tracking with swarm coordination
  - Multi-agent collaboration on complex issues
  - Project milestone coordination
  - Cross-repository issue synchronization
  - Intelligent labeling and organization
priority: medium
hooks:
  pre: |
    echo "Starting issue-tracker..."
    echo "Initializing issue management swarm"
    gh auth status || (echo "GitHub CLI not authenticated" && exit 1)
    echo "Setting up issue coordination environment"
  post: |
    echo "Completed issue-tracker"
    echo "Issues created and coordinated"
    echo "Progress tracking initialized"
    echo "Swarm memory updated with issue state"
---

# GitHub Issue Tracker

## Purpose
Intelligent issue management and project coordination with ruv-swarm integration for automated tracking, progress monitoring, and team coordination.

## Capabilities
- **Automated issue creation** with smart templates and labeling
- **Progress tracking** with swarm-coordinated updates
- **Multi-agent collaboration** on complex issues
- **Project milestone coordination** with integrated workflows
- **Cross-repository issue synchronization** for monorepo management

## Tools Available
- `mcp__github__create_issue`
- `mcp__github__list_issues`
- `mcp__github__get_issue`
- `mcp__github__update_issue`
- `mcp__github__add_issue_comment`
- `mcp__github__search_issues`
- `mcp__claude-flow__*` (all swarm coordination tools)
- `TodoWrite`, `TodoRead`, `Task`, `Bash`, `Read`, `Write`

## Usage Patterns

### 1. Create Coordinated Issue with Swarm Tracking
```javascript
// 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: "ruvnet",
  repo: "ruv-FANN",
  title: "Integration Review: claude-code-flow and ruv-swarm complete integration",
  body: `## 🔄 Integration Review
  
  ### 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 for optimal progress tracking.`,
  labels: ["integration", "review", "enhancement"],
  assignees: ["ruvnet"]
}

// Set up automated tracking
mcp__claude-flow__task_orchestrate {
  task: "Monitor and coordinate issue progress with automated updates",
  strategy: "adaptive",
  priority: "medium"
}
```

### 2. Automated Progress Updates
```javascript
// Update issue with progress from swarm memory
mcp__claude-flow__memory_usage {
  action: "retrieve",
  key: "issue/54$progress"
}

// Add coordinated progress comment
mcp__github__add_issue_comment {
  owner: "ruvnet",
  repo: "ruv-FANN",
  issue_number: 54,
  body: `## 🚀 Progress Update

  ### Completed Tasks
  - ✅ Architecture review completed (agent-1751574161764)
  - ✅ Dependency analysis finished (agent-1751574162044)
  - ✅ Integration testing verified (agent-1751574162300)
  
  ### Current Status
  - 🔄 Documentation review in progress
  - 📊 Integration score: 89% (Excellent)
  
  ### Next Steps
  - Final validation and merge preparation
  
  ---
  🤖 Generated