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agent-collective-intelligence-coordinator

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

39

1.74x
Quality

7%

Does it follow best practices?

Impact

94%

1.74x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./.agents/skills/agent-collective-intelligence-coordinator/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

14%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill reads more like a conceptual architecture document than an actionable skill for Claude. It is filled with abstract terminology (hive mind, neural nexus, Byzantine fault tolerance, split-brain scenarios) without concrete implementations, and explains high-level concepts Claude already understands. The code examples use a pseudo-syntax that isn't clearly executable, and the workflow lacks sequencing, validation, and error recovery.

Suggestions

Replace abstract descriptions ('Apply weighted voting based on expertise', 'Resolve conflicts through Byzantine fault tolerance') with concrete, executable code or specific step-by-step procedures showing exactly how to perform these operations.

Add a clear sequential workflow with numbered steps, explicit validation checkpoints (e.g., verify memory write succeeded before proceeding), and error recovery loops for failed synchronization.

Remove verbose conceptual explanations (coordination topology descriptions, quality standards platitudes) and focus only on the specific tool calls, key formats, and decision logic Claude needs to execute.

If coordination patterns (Hierarchical, Mesh, Adaptive) are important, move them to a separate reference file and keep SKILL.md as a concise quick-start with links to detailed guides.

DimensionReasoningScore

Conciseness

The skill is extremely verbose and filled with abstract concepts Claude already understands (consensus building, Byzantine fault tolerance, cognitive load balancing, mesh vs hierarchical topologies). Much of the content reads like a design document rather than actionable instructions, and terms like 'neural nexus of the hive mind system' are pure padding.

1 / 3

Actionability

The JavaScript code blocks showing memory store calls are somewhat concrete and provide specific key patterns and JSON structures. However, much of the guidance is abstract ('Apply weighted voting based on expertise', 'Resolve conflicts through Byzantine fault tolerance', 'Detect split-brain scenarios') with no executable implementation. The code examples are also not fully executable—they use a pseudo-function-call syntax rather than real tool invocation syntax.

2 / 3

Workflow Clarity

There is no clear sequenced workflow with validation checkpoints. The 'Handoff Patterns' section lists abstract sequences (Receive inputs → Build consensus → Distribute decisions) but provides no concrete steps, no error recovery loops, and no validation gates. The 'EVERY 30 SECONDS' requirement has no mechanism for verification or what to do if synchronization fails.

1 / 3

Progressive Disclosure

The content is a monolithic wall of text with no references to external files and no bundle files to support it. All content—from coordination patterns to error handling to integration points—is dumped inline with no clear hierarchy or navigation structure for discovery.

1 / 3

Total

5

/

12

Passed

Description

0%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description is essentially a label and invocation command with zero functional content. It fails on every dimension: it does not describe what the skill does, when to use it, or provide any natural trigger terms. It is one of the weakest possible skill descriptions.

Suggestions

Add concrete actions describing what 'collective intelligence coordination' actually involves (e.g., 'Aggregates inputs from multiple agents, synthesizes diverse perspectives, resolves conflicting recommendations').

Add an explicit 'Use when...' clause with natural trigger terms users might say (e.g., 'Use when the user needs to combine multiple viewpoints, coordinate group decision-making, or synthesize diverse inputs').

Remove the invocation command from the description or supplement it with functional detail—the description should help Claude decide when to select this skill, not just how to invoke it.

DimensionReasoningScore

Specificity

The description contains no concrete actions whatsoever. 'Agent skill for collective-intelligence-coordinator' is entirely abstract with no indication of what the skill actually does.

1 / 3

Completeness

Neither 'what does this do' nor 'when should Claude use it' is answered. The description only states the invocation command, providing no functional or contextual information.

1 / 3

Trigger Term Quality

The only keyword is 'collective-intelligence-coordinator', which is a technical/internal name, not a natural term a user would say. No natural language trigger terms are present.

1 / 3

Distinctiveness Conflict Risk

The description is so vague that it's impossible to distinguish it from any other agent skill. 'Collective intelligence coordinator' could overlap with collaboration, brainstorming, multi-agent, or knowledge management skills.

1 / 3

Total

4

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
ruvnet/ruflo
Reviewed

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.