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agent-collective-intelligence-coordinator

Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator

Install with Tessl CLI

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

40

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

89%

Multi-Agent Research Pipeline Coordinator

Memory synchronization key patterns and data structures

Criteria
Without context
With context

Status key name

0%

100%

Collective-state key name

0%

100%

Knowledge key name

0%

100%

Coordination namespace

0%

100%

Status value fields

12%

100%

hive_topology value

0%

100%

Collective-state fields

0%

100%

Knowledge value fields

50%

100%

created_by field value

0%

100%

30-second sync cadence

0%

100%

Four periodic writes documented

0%

100%

mcp__claude-flow__memory_usage used

75%

100%

Without context: $0.2401 · 1m 26s · 14 turns · 20 in / 4,673 out tokens

With context: $0.4515 · 1m 56s · 20 turns · 24 in / 6,876 out tokens

88%

26%

Distributed Agent Consensus Engine

Consensus building with weighted voting and minority handling

Criteria
Without context
With context

Weighted voting

100%

100%

75% threshold enforcement

0%

100%

Minority opinion preserved

100%

100%

No unilateral winner

100%

100%

Consensus stored to memory

100%

100%

Memory key for consensus

0%

100%

Memory namespace

0%

100%

Decision documented

100%

100%

Byzantine conflict detection

0%

0%

Memory key in report

100%

100%

Without context: $0.5684 · 1m 56s · 26 turns · 33 in / 6,391 out tokens

With context: $0.5145 · 1m 53s · 25 turns · 283 in / 6,971 out tokens

94%

5%

Hive Mind Topology Manager

Adaptive topology and fault-tolerant error handling

Criteria
Without context
With context

Hierarchical mode

87%

100%

Mesh mode

87%

100%

Adaptive mode

87%

100%

Cognitive load monitoring

100%

100%

Sub-agent spawning

37%

37%

Split-brain detection

90%

100%

Quorum-based recovery

100%

100%

Decision audit trail

100%

100%

Rollback mechanism

100%

100%

Graceful degradation

100%

100%

Demo audit trail entries

100%

100%

No single point of failure

66%

83%

Without context: $0.5860 · 2m 51s · 20 turns · 27 in / 11,411 out tokens

With context: $0.7751 · 3m 20s · 26 turns · 190 in / 13,750 out tokens

Evaluated
Agent
Claude Code

Table of Contents

Is this your skill?

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.