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agent-automation-smart-agent

Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent

35

1.07x
Quality

0%

Does it follow best practices?

Impact

99%

1.07x

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-automation-smart-agent/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

0%Scale 1-3

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

This skill reads as a conceptual design document or marketing overview rather than an actionable skill for Claude. It describes abstract capabilities (predictive spawning, ML integration, multi-objective optimization) without providing any concrete implementation, commands, or executable code. Nearly every section explains what the system should do rather than instructing Claude how to do it.

Suggestions

Replace all pseudocode blocks with actual executable commands or code that Claude can run to spawn, manage, and coordinate agents.

Reduce the content by at least 70% by removing abstract descriptions of ML models, optimization strategies, and capability learning that have no concrete implementation.

Add a concrete step-by-step workflow with validation checkpoints, e.g., '1. Analyze task → 2. Select agent type → 3. Spawn with command X → 4. Verify agent is running → 5. Assign task'.

Define the actual interface/commands available (e.g., what does 'spawning an agent' actually mean in this system? What commands or tool calls are used?).

DimensionReasoningScore

Conciseness

Extremely verbose and padded with abstract concepts Claude already understands. Sections like 'Intelligence Features', 'Machine Learning Integration', and 'Best Practices' describe high-level concepts without adding actionable value. The entire document reads like a product brochure rather than a skill instruction.

1 / 3

Actionability

No executable code or concrete commands anywhere. All code blocks are pseudocode or abstract diagrams (e.g., 'Task Requirements → Capability Analysis → Agent Selection'). The 'Usage Examples' section describes what should happen in natural language without any actual implementation. There are no real commands, APIs, or copy-paste-ready instructions.

1 / 3

Workflow Clarity

No clear step-by-step workflow is defined. The document describes abstract patterns and concepts but never provides a concrete sequence of actions with validation checkpoints. There's no guidance on what to actually do when coordinating agents—just descriptions of what the system theoretically does.

1 / 3

Progressive Disclosure

Monolithic wall of text with no references to external files and no bundle files to support it. All content is inline with no clear hierarchy or navigation structure. The document is over 150 lines of abstract content that could be dramatically condensed or split.

1 / 3

Total

4

/

12

Passed

Description

0%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.

This description is essentially a placeholder that provides no meaningful information about the skill's capabilities, use cases, or triggers. It only contains an invocation command and a generic label, making it impossible for Claude to determine when to select this skill over others. This is among the weakest possible descriptions.

Suggestions

Replace the generic label with specific concrete actions the skill performs, e.g., 'Automates browser interactions, schedules tasks, and orchestrates multi-step workflows.'

Add an explicit 'Use when...' clause with natural trigger terms that describe scenarios where this skill should be selected, e.g., 'Use when the user asks to automate repetitive tasks, schedule jobs, or create workflow pipelines.'

Remove the invocation syntax ('invoke with $agent-automation-smart-agent') from the description and focus on communicating the skill's purpose and scope to aid in skill selection.

DimensionReasoningScore

Specificity

The description contains no concrete actions whatsoever. 'Agent skill for automation-smart-agent' is entirely vague and abstract, providing no information about 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 how to invoke it ('invoke with $agent-automation-smart-agent') without explaining its purpose or triggers.

1 / 3

Trigger Term Quality

There are no natural keywords a user would say. 'automation-smart-agent' is technical jargon/an internal identifier, not something a user would naturally mention in a request.

1 / 3

Distinctiveness Conflict Risk

The term 'automation' is extremely generic and could overlap with virtually any automation-related skill. There is nothing distinctive about this description to differentiate it from other 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/claude-flow
Reviewed

Table of Contents

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