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agent-collective-intelligence-coordinator

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

44

1.74x
Quality

16%

Does it follow best practices?

Impact

94%

1.74x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

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

Quality

Content

28%Weight 40%Scale 1-5

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

The body reads as a system-prompt persona spec rather than an actionable skill: it is rich in hive-mind vocabulary and memory-key schemas but poor in executable guidance and lacks any sequenced, validated workflow. Only the section organization and the concrete memory keys keep it above the bottom anchors.

Suggestions

Convert the mock 'mcp__claude-flow__memory_usage { ... }' blocks into real tool-call examples with actual invocation syntax so the memory protocol is directly executable.

Replace abstract bullets ('Apply weighted voting based on expertise', 'Resolve conflicts through Byzantine fault tolerance') with concrete procedures: what input to aggregate, what weighting rule to apply, and what decision to store where.

Define a sequenced operating loop with checkpoints — e.g. collect inputs -> compute consensus -> verify quorum threshold (75%) -> store decision -> re-sync — including recovery steps for the split-brain and low-consensus error cases the skill currently only names.

DimensionReasoningScore

Conciseness

Much of the body is buzzword-heavy padding ('neural nexus of the hive mind', 'Byzantine fault tolerance', 'cognitive load balancing') that restates concepts Claude already understands rather than teaching anything new; the ~130 lines could be tightened to a fraction of their length.

2 / 5

Actionability

The memory-usage blocks specify concrete keys and namespaces ('swarm$shared$collective-state', namespace 'coordination'), but they are neither valid tool-call JSON nor executable code, and the rest is abstract direction like 'Aggregate inputs from all agents' with no specific steps for how to actually do anything.

2 / 5

Workflow Clarity

Content is organized by topic (responsibilities, patterns, quality standards) rather than as a sequenced workflow; the handoff patterns give rough three-step sequences but there are no validation checkpoints or error-recovery loops for operations the skill itself flags as risky (split-brain, consensus failure).

2 / 5

Progressive Disclosure

The body has clear section headers, no buried or nested references, and no bundle files exist — but the single-file layout leaves over 130 lines of inline material (coordination patterns, integration points, memory schemas) that could be better organized or split, so structure is present but not optimal.

3 / 5

Total

9

/

20

Passed

Description

3%Weight 40%Scale 1-5

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 is an auto-generated placeholder description that conveys no capability, trigger, or use-case information. It fails on all four dimensions because it substitutes the skill's own name and invocation syntax for an actual description of what it does.

Suggestions

Replace the wrapper text with a concrete capability statement, e.g. 'Orchestrates distributed agents by synchronizing shared memory, building weighted consensus, and balancing cognitive load across the hive.'

Add an explicit 'Use when...' clause naming natural trigger phrases such as 'coordinate multiple agents', 'swarm consensus', or 'hive mind memory sync'.

Avoid restating the skill name and invocation token in the description — the harness already knows the skill's name; use the space for capability and trigger information instead.

DimensionReasoningScore

Specificity

The description is pure wrapper boilerplate — 'Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator' — and names zero concrete actions, only restating the skill name and an invocation token.

1 / 5

Completeness

Neither 'what does this do' nor 'when should Claude use it' is answered — the description is identical templated filler that could wrap any skill, with no 'Use when...' clause or capability statement.

1 / 5

Trigger Term Quality

The only term present is the machine-generated invocation token '$agent-collective-intelligence-coordinator'; there are no natural keywords a user would actually say when needing this skill.

1 / 5

Distinctiveness Conflict Risk

The unique skill-name token gives minimal distinction, but the generic 'Agent skill for X' template would look identical across a fleet of similarly wrapped skills, creating high overlap risk when the model scans descriptions to pick one.

2 / 5

Total

5

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
ruvnet/ruflo
Reviewed

Table of Contents

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