CtrlK
BlogDocsLog inGet started
Tessl Logo

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.

64

Quality

56%

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

64%

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 is heavily weighted toward trigger terms, listing many natural phrases users might say, which is a strength. However, it lacks a clear, concise explanation of what the skill actually does — the concrete capabilities are buried in vague references to 'iterative expert review cycles' and 'versioned output'. The format reads more like a keyword list than a well-structured skill description.

Suggestions

Add a clear 'what it does' opening sentence listing concrete actions, e.g., 'Creates static HTML/CSS prototypes of UI components and validates them through structured visual review with per-criterion scoring and versioned iterations.'

Reduce the inline trigger phrase list and restructure into a concise 'Use when...' clause that groups related triggers, e.g., 'Use when the user wants to build static prototypes, validate component visuals, or conduct pixel-perfect design reviews.'

DimensionReasoningScore

Specificity

The description mentions 'static component showcase', 'iterative expert review cycles', 'per-criterion scoring', 'independent judge verdict', and 'versioned output', which name some specific actions and domain concepts. However, it doesn't clearly list concrete actions like 'creates HTML prototypes' or 'generates visual diffs' — the capabilities are somewhat implied rather than explicitly enumerated.

2 / 3

Completeness

The 'when' is extensively covered with explicit trigger phrases. However, the 'what does this do' part is weak — it vaguely mentions creating a static component showcase and validating through review cycles, but doesn't clearly describe the concrete outputs or actions the skill performs. The description is trigger-heavy but capability-light.

2 / 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. These cover many natural variations a user might use.

3 / 3

Distinctiveness Conflict Risk

Terms like 'static prototype', 'component showcase', and 'per-criterion scoring with judge verdict' create a somewhat distinct niche. However, phrases like 'check the design', 'review the design visuals', and 'visual validation' are generic enough to potentially overlap with design review or UI testing skills.

2 / 3

Total

9

/

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 skill has excellent workflow clarity with well-defined iterative build-review cycles, explicit validation checkpoints, and thorough error recovery paths. However, it is significantly over-verbose — many conditional branches and decision trees could be condensed without losing clarity, and the Agent Invocation Guide largely duplicates the workflow steps. Actionability is moderate: while file paths and agent names are specific, there are no executable code examples for agent invocations or script templates.

Suggestions

Reduce verbosity by 40-50%: collapse the prerequisite checking into a compact checklist, merge the Agent Invocation Guide into the workflow steps rather than duplicating, and trim the Figma/Canva asset-fetching decision tree which is overly detailed for Claude's inference capabilities.

Add concrete agent invocation examples showing the actual syntax/format used to call agents like `arn-spark-prototype-builder`, rather than describing parameters abstractly.

Move the Error Handling section to a separate reference file (e.g., `references/error-handling.md`) since it's lengthy and not needed on every read-through.

Provide a template or skeleton for the Playwright capture script rather than just describing what it should do, making Step 5b more actionable.

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~300+ lines. It over-explains every conditional branch, includes lengthy decision trees for design asset fetching, and provides exhaustive error handling tables that could be condensed significantly. Much of the content describes orchestration logic that Claude can infer from a more compact specification.

1 / 3

Actionability

The skill provides clear step-by-step workflows with specific file paths, agent names, and decision points, which is good. However, it contains no executable code examples — agent invocations are described abstractly ('Invoke arn-spark-prototype-builder with...') rather than showing concrete invocation syntax, and the Playwright capture script generation is described rather than templated.

2 / 3

Workflow Clarity

The multi-step workflow is exceptionally well-sequenced with numbered steps, clear branching logic (resume vs fresh start, pass vs fail), explicit validation checkpoints (expert review scoring against thresholds, judge review with pass/fail), and feedback loops (failing criteria feed back into next build cycle). Error recovery paths are thoroughly documented.

3 / 3

Progressive Disclosure

The skill references external files like `static-prototype-criteria.md`, `review-report-template.md`, and `showcase-capture-guide.md` via `${CLAUDE_PLUGIN_ROOT}` paths, which is good progressive disclosure. However, no bundle files were provided to verify these exist, and the main SKILL.md itself is monolithic — the Agent Invocation Guide and Error Handling sections repeat information already covered in the workflow steps, inflating the document when they could be separate references.

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

Is this your skill?

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.