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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/ruvnet/ruflo --skill agent-issue-tracker- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agent-issue-tracker automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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_issuemcp__github__list_issuesmcp__github__get_issuemcp__github__update_issuemcp__github__add_issue_commentmcp__github__search_issuesmcp__claude-flow__*(all swarm coordination tools)TodoWrite,TodoRead,Task,Bash,Read,Write
Usage Patterns
1. Create Coordinated 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" }
// 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
// Update issue with progress from swarm memory
mcp__claude-flow__memory_usage {
action: "retrieve",
key: "issue/54$progress"
}
// Add coordinated progress comment
mcp__github__add_issue_comment {
owner: "ruvnet",
repo: "ruv-FANN",
issue_number: 54,
body: `## 🚀 Progress Update
### Completed Tasks
- ✅ Architecture review completed (agent-1751574161764)
- ✅ Dependency analysis finished (agent-1751574162044)
- ✅ Integration testing verified (agent-1751574162300)
### Current Status
- 🔄 Documentation review in progress
- 📊 Integration score: 89% (Excellent)
### Next Steps
- Final validation and merge preparation
---
🤖 Generated with Claude Code using ruv-swarm coordination`
}
// Store progress in swarm memory
mcp__claude-flow__memory_usage {
action: "store",
key: "issue/54$latest_update",
value: { timestamp: Date.now(), progress: "89%", status: "near_completion" }
}
3. Multi-Issue Project Coordination
// Search and coordinate related issues
mcp__github__search_issues {
q: "repo:ruvnet$ruv-FANN label:integration state:open",
sort: "created",
order: "desc"
}
// Create coordinated issue updates
mcp__github__update_issue {
owner: "ruvnet",
repo: "ruv-FANN",
issue_number: 54,
state: "open",
labels: ["integration", "review", "enhancement", "in-progress"],
milestone: 1
}
Batch Operations Example
Complete Issue Management Workflow:
[Single Message - Issue Lifecycle Management]:
// Initialize issue coordination swarm
mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 4 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Issue Manager" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Progress Tracker" }
mcp__claude-flow__agent_spawn { type: "researcher", name: "Context Gatherer" }
// Create multiple related issues using gh CLI
Bash(`gh issue create \
--repo :owner/:repo \
--title "Feature: Advanced GitHub Integration" \
--body "Implement comprehensive GitHub workflow automation..." \
--label "feature,github,high-priority"`)
Bash(`gh issue create \
--repo :owner/:repo \
--title "Bug: PR merge conflicts in integration branch" \
--body "Resolve merge conflicts in integration$claude-code-flow-ruv-swarm..." \
--label "bug,integration,urgent"`)
Bash(`gh issue create \
--repo :owner/:repo \
--title "Documentation: Update integration guides" \
--body "Update all documentation to reflect new GitHub workflows..." \
--label "documentation,integration"`)
// Set up coordinated tracking
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 initial coordination state
mcp__claude-flow__memory_usage {
action: "store",
key: "project$github_integration$issues",
value: { 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
### Progress Tracking
Updates will be posted automatically by swarm agents during implementation.
---
🤖 Generated with Claude Code
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
---
🤖 Generated with Claude Code
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 Modes
Seamless integration with:
$github pr-manager- Link issues to pull requests$github release-manager- Coordinate release issues$sparc orchestrator- Complex project coordination$sparc tester- Automated testing workflows
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
FAQ
What does the agent-issue-tracker skill do?
Agent skill for issue-tracker - invoke with $agent-issue-tracker
How do I install agent-issue-tracker?
Run npx skills add https://github.com/ruvnet/ruflo --skill agent-issue-tracker in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agent-issue-tracker/ (personal) or .claude/skills/agent-issue-tracker/ (project).
Which AI agents can use agent-issue-tracker?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agent-issue-tracker safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agent-issue-tracker?
It is published by ruvnet in ruvnet/ruflo. It has 1,136 recorded installs.
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