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arn-spark-static-prototype

This skill should be used when the user says "static prototype", "arn static prototype", "visual validation", "pixel perfect", "component showcase", "static screens", "build a static prototype", "create a component showcase", "visual review", "validate the visuals", "check the design", "validate components", "review the design visuals", or wants to create a static component showcase and validate it through iterative expert review cycles with per-criterion scoring, an independent judge verdict, and versioned output.

59

Quality

68%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/arn-spark/skills/arn-spark-static-prototype/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

89%

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

The description excels at trigger term coverage and completeness, providing an extensive list of natural phrases and clearly stating both what the skill does and when to use it. Its main weakness is that the capability description is somewhat bundled into a single clause rather than listing discrete concrete actions. The heavy reliance on listing trigger phrases makes it functional but slightly less readable.

Suggestions

Break out the capabilities into more specific concrete actions, e.g., 'Creates static HTML/CSS prototypes, generates component showcases, runs iterative visual review cycles with per-criterion scoring, produces versioned output artifacts.'

DimensionReasoningScore

Specificity

The description mentions 'static component showcase', 'iterative expert review cycles', 'per-criterion scoring', 'independent judge verdict', and 'versioned output', which name the domain and some actions but don't clearly list concrete discrete actions like 'create X, validate Y, generate Z'.

2 / 3

Completeness

The description explicitly answers both 'what' (create a static component showcase and validate through iterative expert review cycles with per-criterion scoring, judge verdict, and versioned output) and 'when' (extensive list of trigger phrases prefaced by 'should be used when').

3 / 3

Trigger Term Quality

The description includes an extensive list of natural trigger phrases users would say: 'static prototype', 'pixel perfect', 'component showcase', 'visual validation', 'check the design', 'validate components', 'review the design visuals', etc. Good coverage of natural variations.

3 / 3

Distinctiveness Conflict Risk

The combination of 'static prototype', 'component showcase', 'per-criterion scoring', 'independent judge verdict', and 'versioned output' creates a very specific niche that is unlikely to conflict with other skills. The workflow described is highly distinctive.

3 / 3

Total

11

/

12

Passed

Implementation

47%

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

This is a comprehensive orchestration skill with excellent workflow clarity and thorough error handling, but it suffers significantly from verbosity. The ~300-line body includes substantial redundancy between the workflow steps, the agent invocation guide, and the error handling section. While the multi-step process is well-sequenced with proper validation checkpoints and feedback loops, the skill would benefit greatly from condensing repeated information and extracting detailed conditional logic into reference files.

Suggestions

Reduce redundancy by removing the Agent Invocation Guide table — it largely duplicates information already present in the workflow steps. If kept, make it a terse quick-reference only.

Extract the lengthy prerequisite detection logic (style brief, visual grounding, Figma/Canva checks) into a separate reference file like `prerequisites-checklist.md` and reference it from the main skill.

Remove conversational template strings (the exact wording of user prompts) or move them to a reference file — Claude can generate appropriate prompts from concise instructions.

Add a concrete example of agent invocation syntax (e.g., the actual Task tool call format) rather than describing it abstractly as 'Invoke via the Task tool'.

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~300+ lines, with extensive explanations of flows that could be condensed significantly. It over-explains agent invocation patterns, repeats information across sections (e.g., the Agent Invocation Guide largely duplicates what's already in the workflow steps), and includes conversational templates that pad the token count. Much of the prerequisite checking logic and conditional branching could be expressed far more concisely.

1 / 3

Actionability

The skill provides specific agent names, file paths, and structured workflows with clear decision points. However, it lacks executable code examples — the agent invocations are described abstractly ('Invoke the agent via the Task tool') rather than showing concrete invocation syntax. The criteria adaptation and scoring logic are described procedurally but without concrete examples of what the output looks like.

2 / 3

Workflow Clarity

The multi-step workflow is clearly sequenced (Steps 1-8) with explicit validation checkpoints (expert review scoring against thresholds, judge pass/fail verdict, user confirmation). It includes feedback loops (failing criteria feed into next cycle's build), error recovery paths (retry logic, fallback to manual screenshots, resume from interrupted cycles), and clear branching logic at each decision point.

3 / 3

Progressive Disclosure

The skill references external files appropriately (criteria template, review report template, showcase capture guide, ensure-config reference) and delegates to other agents/skills. However, the SKILL.md itself is monolithic — the Agent Invocation Guide and Error Handling sections repeat information from the workflow, and the extensive prerequisite checking logic could be extracted to a reference file. Without bundle files provided, the referenced paths cannot be verified.

2 / 3

Total

8

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
AppsVortex/arness
Reviewed

Table of Contents

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