Agent skill

Agent V3 Queen Coordinator

by ruvnet in ruvnet/ruflo

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

MITAuto-check passedDevelopment

Install Agent V3 Queen Coordinator

skills CLI
$ npx skills add ruvnet/ruflo --skill agent-v3-queen-coordinator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo agent-v3-queen-coordinator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-v3-queen-coordinator .claude/skills/agent-v3-queen-coordinator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-v3-queen-coordinator
GitHub stars
74k
Used in
2 other repos
Token cost
~929 tokens
SKILL.md length
304 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: Foundation (Week 1-2) → Core Systems (Week 3-6) → Integration (Week 7-10) → …
  • Tasks that involve Architecture decision records
  • SKILL.md covers Core Mission, Agent Topology, Implementation Phases and Success Metrics
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent V3 Queen Coordinator is an agent skill from ruvnet/ruflo. Agent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator

Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Architecture decision records. It works with GitHub. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

When your agent uses it

  • Tasks that involve Architecture decision records

Example prompts

  • “/agent-v3-queen-coordinator”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Foundation (Week 1-2)
  2. Core Systems (Week 3-6)
  3. Integration (Week 7-10)
  4. Release (Week 11-14)

What it can do on your machine

Read from SKILL.md and the folder at commit 58e0ae7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent V3 Queen Coordinator loads about 929 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 304 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~929

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit 58e0ae7, republished under its MIT licence (© ruvnet). 304 words, ~929 tokens.

Download SKILL.mdSave it as .claude/skills/agent-v3-queen-coordinator/SKILL.md (or your agent's skills folder).
name
agent-v3-queen-coordinator
description
Agent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator

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

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/agent-v3-queen-coordinator of ruvnet/ruflo.

Open the folder on GitHubat commit 58e0ae7

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent V3 Queen Coordinator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent V3 Queen Coordinator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent V3 Queen Coordinator this skillruvnet/ruflo74k2 repos~929Automated safety check: PassMIT
Design Doc MermaidSpillwaveSolutions/design-doc-mermaid1761 repos~5.6kAutomated safety check: PassNone
Review GitHub PRNVIDIA/OpenShell16k—~1.7kAutomated safety check: PassApache-2.0
Development Workflowrunceel/ReactiveProperty944—~1.4kAutomated safety check: PassMIT
Opencharttryopendata/skills142—~11kAutomated safety check: PassMIT
Complete TaskLog2n-io/Typhon250—~2.1kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Agent V3 Queen Coordinator

What does Agent V3 Queen Coordinator do?

Agent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator. Agent V3 Queen Coordinator is an agent skill from ruvnet/ruflo.

When should I use Agent V3 Queen Coordinator?

Agent V3 Queen Coordinator fits situations like: tasks that involve Architecture decision records.

How do I install Agent V3 Queen Coordinator in Claude Code?

Run `npx skills add ruvnet/ruflo --skill agent-v3-queen-coordinator -a claude-code`. Or copy the skill folder (.agents/skills/agent-v3-queen-coordinator in ruvnet/ruflo) into .claude/skills/agent-v3-queen-coordinator in your project. Claude Code loads it when a task matches its description.

How do I install Agent V3 Queen Coordinator in Codex?

Run `npx skills add ruvnet/ruflo --skill agent-v3-queen-coordinator -a codex`. Or copy the skill folder (.agents/skills/agent-v3-queen-coordinator in ruvnet/ruflo) into .agents/skills/agent-v3-queen-coordinator in your project. Codex loads it when a task matches its description.

Can I use Agent V3 Queen Coordinator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-v3-queen-coordinator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-v3-queen-coordinator, .gemini/skills/agent-v3-queen-coordinator, .github/skills/agent-v3-queen-coordinator and .opencode/skills/agent-v3-queen-coordinator in your project.

What does Agent V3 Queen Coordinator need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent V3 Queen Coordinator is instructions for the agent only. Our summary lists: Node.js.

Does Agent V3 Queen Coordinator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent V3 Queen Coordinator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent V3 Queen Coordinator use?

Agent V3 Queen Coordinator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent V3 Queen Coordinator use?

About 929 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent V3 Queen Coordinator?

Skills that share tags, products or a category with Agent V3 Queen Coordinator: Design Doc Mermaid (SpillwaveSolutions/design-doc-mermaid, 176 stars), Review GitHub PR (NVIDIA/OpenShell, 16k stars), Development Workflow (runceel/ReactiveProperty, 944 stars) and Openchart (tryopendata/skills, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent V3 Queen Coordinator?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,159 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 9, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.