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agent-coordination

Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.

89

1.34x
Quality

86%

Does it follow best practices?

Impact

89%

1.34x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

87%Weight 40%Scale 1-3

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

A clean, executable reference catalog that is token-efficient and well-structured. The only gap is workflow clarity: coordination patterns would benefit from an explicit sequenced workflow with validation checkpoints rather than a flat best-practices list.

Suggestions

Add a short sequenced coordination workflow (e.g. plan -> spawn -> assign -> monitor -> validate -> stop) with an explicit validation/checkpoint step, especially for batch agent pools.

Pair the routing-code table with a brief note on how to verify a routed swarm succeeded (e.g. check agent metrics/status before stopping) to add the missing feedback loop.

Clarify when to choose hierarchical vs mesh vs adaptive topology rather than only recommending hierarchical in best practices.

DimensionReasoningScore

Conciseness

Lean reference with one-line command blocks and terse best-practice bullets; it assumes Claude's competence and adds no concept-explanation fluff.

3 / 3

Actionability

Provides fully executable commands (e.g. 'npx claude-flow agent spawn --type coder --name my-coder') and a concrete routing-code table that are copy-paste ready.

3 / 3

Workflow Clarity

Best practices offer a loose sequence ('Keep agent count under 8', 'Coordinate via memory') but there is no explicit multi-step workflow with validation checkpoints or feedback loops for batch/destructive coordination operations.

2 / 3

Progressive Disclosure

A well-organized catalog under ~80 lines with clear sections (Agent Types, Commands, Routing Codes, Best Practices) and no external references — appropriate for a self-contained reference skill.

3 / 3

Total

11

/

12

Passed

Description

85%Weight 40%Scale 1-3

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

A strong, concise description that covers what and when explicitly and carves out a distinct multi-agent niche. Trigger-term breadth is the main weakness, leaning slightly on jargon over natural user phrasing.

DimensionReasoningScore

Specificity

Names multiple concrete actions — 'Agent spawning, lifecycle management, and coordination patterns' and 'Manages 60+ agent types with specialized capabilities' — going beyond a single domain and some actions.

3 / 3

Completeness

Explicitly answers both what ('Agent spawning, lifecycle management, and coordination patterns') and when ('Use when: spawning agents, coordinating multi-agent tasks, managing agent pools'), plus a 'Skip when' clause.

3 / 3

Trigger Term Quality

Natural phrases like 'spawning agents' and 'managing agent pools' appear, but coverage leans toward jargon ('lifecycle management', 'coordination patterns') and lacks a broad set of common user variations.

2 / 3

Distinctiveness Conflict Risk

A clear niche (multi-agent coordination) with the '60+ agent types' qualifier and a 'Skip when: single-agent work' clause that prevents false triggers.

3 / 3

Total

11

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
ruvnet/claude-flow
Reviewed

Table of Contents

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