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arn-spark-visual-readiness

This skill should be used when the user says "visual readiness", "check visual layers", "activate visual layer", "visual checkpoint", "promote visual testing", "enable layer 2", "visual test health", "check deferred layers", "activate deferred layers", "layer promotion", or wants to validate and activate deferred visual testing layers after project milestones.

54

Quality

43%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

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

Quality

Discovery

40%

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 heavily weighted toward trigger phrases but almost entirely lacks a description of what the skill actually does. It reads as a list of activation keywords without explaining the concrete actions, outputs, or workflow involved. The domain-specific jargon ('deferred visual testing layers', 'layer promotion') is not self-explanatory and would benefit from concrete capability descriptions.

Suggestions

Add a clear 'what it does' section describing specific concrete actions, e.g., 'Validates visual test layer configurations, checks readiness status of deferred layers, and promotes them to active testing status.'

Replace or supplement the jargon-heavy trigger phrases with natural language descriptions of when to use the skill, e.g., 'Use when a project milestone is reached and visual tests need to be activated or their health verified.'

Describe the outputs or results the skill produces (e.g., 'Generates a readiness report showing which visual layers are eligible for promotion and any blocking issues').

DimensionReasoningScore

Specificity

The description lists trigger phrases but fails to describe any concrete actions or capabilities. There is no explanation of what the skill actually does beyond vague references to 'validate and activate deferred visual testing layers after project milestones.'

1 / 3

Completeness

The 'when' is extensively covered with explicit trigger phrases, but the 'what' is almost entirely missing — there is no clear explanation of what the skill does, what outputs it produces, or what actions it performs beyond 'validate and activate deferred visual testing layers.'

2 / 3

Trigger Term Quality

It includes many specific trigger phrases like 'visual readiness', 'check visual layers', 'enable layer 2', etc., but these are highly specialized jargon rather than natural terms users would commonly say. The phrases feel artificially constructed rather than organic user language.

2 / 3

Distinctiveness Conflict Risk

The highly specific trigger phrases reduce conflict risk with other skills, but the vague description of actual functionality ('deferred visual testing layers') makes it unclear what domain this occupies, which could cause confusion with other visual testing or layer management skills.

2 / 3

Total

7

/

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-sequenced steps, validation checkpoints, and explicit error recovery paths. However, it is significantly over-verbose — explaining context extensively, repeating information across sections, and including detailed presentation templates inline that inflate the token cost. Actionability is moderate: steps are procedurally clear but lack executable code snippets, relying on descriptive instructions instead.

Suggestions

Cut the introductory paragraphs and 'core problem' explanation — Claude doesn't need motivation for why the skill exists. Start directly with Prerequisites.

Move the presentation templates (status tables, report format) and agent invocation guide into a separate reference file to reduce the main skill's token footprint by ~30-40%.

Add executable code/command examples for key operations like parsing CLAUDE.md fields, running tool availability checks, and invoking the agent with actual parameter syntax.

Consolidate the Error Handling section into the workflow steps where errors occur, rather than duplicating guidance at the end.

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~300+ lines. It over-explains concepts like what deferred layers are, repeats information across sections (e.g., error handling duplicates workflow guidance), and includes extensive formatting templates that could be condensed. Many sections explain context Claude could infer from the workflow itself.

1 / 3

Actionability

The skill provides concrete steps and specific field names to parse, but lacks executable code examples. Commands like 'which [tool]' and '[tool] --version' are mentioned but not shown in complete, copy-paste-ready form. The agent invocation parameters are described but not shown as actual invocation syntax. Much guidance is procedural description rather than executable instruction.

2 / 3

Workflow Clarity

The 8-step workflow is clearly sequenced with explicit validation checkpoints (Step 2 validates active layers, Step 3 checks criteria before Step 4 runs spikes, Step 5 asks user confirmation before promoting). Feedback loops are present (re-validate on failure, ask user on ambiguity, sequential agent invocation with error recovery). The IMPORTANT callout about sequential execution is a good safety checkpoint.

3 / 3

Progressive Disclosure

The skill references external files like 'readiness-checklist.md', 'spike-checklist.md', and 'journey-schema.md' which is good progressive disclosure, but no bundle files were provided to verify these exist. The main SKILL.md itself is monolithic — the detailed parsing instructions, presentation templates, and agent invocation guide could be split into reference files. The error handling section largely duplicates workflow content.

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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