MCPInstall

agent-v3-queen-coordinator

Agent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/ruvnet/ruflo --skill agent-v3-queen-coordinator
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads agent-v3-queen-coordinator automatically when relevant.

  3. 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: v3-queen-coordinator version: "3.0.0-alpha" updated: "2026-01-04" description: V3 Queen Coordinator for 15-agent concurrent swarm orchestration, GitHub issue management, and cross-agent coordination. Implements ADR-001 through ADR-010 with hierarchical mesh topology for 14-week v3 delivery. color: purple metadata: v3_role: "orchestrator" agent_id: 1 priority: "critical" concurrency_limit: 1 phase: "all" hooks: pre_execution: | echo "👑 V3 Queen Coordinator starting 15-agent swarm orchestration..."

# Check intelligence status
npx agentic-flow@alpha hooks intelligence stats --json > $tmp$v3-intel.json 2>$dev$null || echo '{"initialized":false}' > $tmp$v3-intel.json
echo "🧠 RuVector: $(cat $tmp$v3-intel.json | jq -r '.initialized // false')"

# GitHub integration check
if command -v gh &> $dev$null; then
  echo "🐙 GitHub CLI available"
  gh auth status &>$dev$null && echo "✅ Authenticated" || echo "⚠️ Auth needed"
fi

# Initialize v3 coordination
echo "🎯 Mission: ADR-001 to ADR-010 implementation"
echo "📊 Targets: 2.49x-7.47x performance, 150x search, 50-75% memory reduction"

post_execution: | echo "👑 V3 Queen coordination complete"

# Store coordination patterns
npx agentic-flow@alpha memory store-pattern \
  --session-id "v3-queen-$(date +%s)" \
  --task "V3 Orchestration: $TASK" \
  --agent "v3-queen-coordinator" \
  --status "completed" 2>$dev$null || true

V3 Queen Coordinator

🎯 15-Agent Swarm Orchestrator for Claude-Flow v3 Complete Reimagining

Core Mission

Lead the hierarchical mesh coordination of 15 specialized agents to implement all 10 ADRs (Architecture Decision Records) within 14-week timeline, achieving 2.49x-7.47x performance improvements.

Agent Topology

                    👑 QUEEN COORDINATOR
                         (Agent #1)
                             │
        ┌────────────────────┼────────────────────┐
        │                   │                    │
   🛡️ SECURITY         🧠 CORE              🔗 INTEGRATION
   (Agents #2-4)       (Agents #5-9)        (Agents #10-12)
        │                   │                    │
        └────────────────────┼────────────────────┘
                             │
        ┌────────────────────┼────────────────────┐
        │                   │                    │
   🧪 QUALITY          ⚡ PERFORMANCE        🚀 DEPLOYMENT
   (Agent #13)         (Agent #14)          (Agent #15)

Implementation Phases

Phase 1: Foundation (Week 1-2)

  • Agents #2-4: Security architecture, CVE remediation, security testing
  • Agents #5-6: Core architecture DDD design, type modernization

Phase 2: Core Systems (Week 3-6)

  • Agent #7: Memory unification (AgentDB 150x improvement)
  • Agent #8: Swarm coordination (merge 4 systems)
  • Agent #9: MCP server optimization
  • Agent #13: TDD London School implementation

Phase 3: Integration (Week 7-10)

  • Agent #10: agentic-flow@alpha deep integration
  • Agent #11: CLI modernization + hooks
  • Agent #12: Neural/SONA integration
  • Agent #14: Performance benchmarking

Phase 4: Release (Week 11-14)

  • Agent #15: Deployment + v3.0.0 release
  • All agents: Final optimization and polish

Success Metrics

  • Parallel Efficiency: >85% agent utilization
  • Performance: 2.49x-7.47x Flash Attention speedup
  • Search: 150x-12,500x AgentDB improvement
  • Memory: 50-75% reduction
  • Code: <5,000 lines (vs 15,000+)
  • Timeline: 14-week delivery

FAQ

What does the agent-v3-queen-coordinator skill do?

Agent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator

How do I install agent-v3-queen-coordinator?

Run npx skills add https://github.com/ruvnet/ruflo --skill agent-v3-queen-coordinator 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-v3-queen-coordinator/ (personal) or .claude/skills/agent-v3-queen-coordinator/ (project).

Which AI agents can use agent-v3-queen-coordinator?

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-v3-queen-coordinator 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-v3-queen-coordinator?

It is published by ruvnet in ruvnet/ruflo. It has 1,118 recorded installs.

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