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agent-v3-queen-coordinator

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

Install with Tessl CLI

npx tessl i github:ruvnet/claude-flow --skill agent-v3-queen-coordinator
What are skills?

43

6.25x

Does it follow best practices?

Evaluation100%

6.25x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

80%

Lifecycle Hooks for AI Agent Coordinator

Coordination lifecycle hooks

Criteria
Without context
With context

Intelligence stats command

0%

100%

Intelligence output to file

0%

100%

Intelligence fallback

0%

100%

GitHub CLI presence check

100%

100%

GitHub auth verification

100%

100%

Memory store-pattern command

0%

100%

Session ID with timestamp

0%

100%

Task parameter

0%

100%

Agent parameter

0%

100%

Status parameter

0%

100%

Silent error handling

0%

100%

Without context: $0.3901 · 1m 33s · 22 turns · 28 in / 5,537 out tokens

With context: $0.6023 · 1m 39s · 29 turns · 31 in / 5,595 out tokens

100%

89%

Multi-Agent Orchestration Architecture for System Reimplementation

Agent swarm topology and phases

Criteria
Without context
With context

Queen orchestrator role

60%

100%

Security group size

0%

100%

Core group size

0%

100%

Integration group size

0%

100%

Specialist single agents

14%

100%

Total agent count

0%

100%

Hierarchical mesh topology

28%

100%

Phase 1 scope

0%

100%

Phase 2 scope

11%

100%

Phase 3 scope

11%

100%

Phase 4 scope

0%

100%

Coordinator concurrency constraint

0%

100%

Without context: $0.2750 · 1m 25s · 11 turns · 15 in / 5,426 out tokens

With context: $0.5214 · 1m 59s · 26 turns · 290 in / 6,884 out tokens

100%

81%

System Modernisation Project Charter and Success Metrics

V3 performance targets and ADR scope

Criteria
Without context
With context

Parallel efficiency target

0%

100%

Flash Attention lower bound

0%

100%

Flash Attention upper bound

0%

100%

AgentDB search lower bound

0%

100%

AgentDB search upper bound

0%

100%

Memory reduction range

100%

100%

Code line count target

0%

100%

Baseline codebase size

0%

100%

ADR count

100%

100%

14-week timeline

0%

100%

4-phase structure

0%

100%

Without context: $0.3016 · 1m 42s · 15 turns · 19 in / 5,617 out tokens

With context: $0.5000 · 2m 8s · 22 turns · 284 in / 7,356 out tokens

Evaluated
Agent
Claude Code
Model
Unknown

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.