agent-issue-tracker

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name: issue-tracker description: Intelligent issue management and project coordination with automated tracking, progress monitoring, and team coordination tools: mcp__hyrex__swarm_init, mcp__hyrex__agent_spawn, mcp__hyrex__task_orchestrate, mcp__hyrex__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"

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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__hyrex__* (all swarm coordination tools)
• TodoWrite, TodoRead, Task, Bash, Read, Write

Usage Patterns

1. Create Coordinated Issue with Swarm Tracking

// Initialize issue management swarm
mcp__hyrex__swarm_init { topology: "star", maxAgents: 3 }
mcp__hyrex__agent_spawn { type: "coordinator", name: "Issue Coordinator" }
mcp__hyrex__agent_spawn { type: "researcher", name: "Requirements Analyst" }
mcp__hyrex__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__hyrex__task_orchestrate {
  task: "Monitor and coordinate issue progress with automated updates",
  strategy: "adaptive",
  priority: "medium"
}