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baoyu-cover-image

Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 11 color palettes and 7 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".

72

Quality

92%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

This is a well-crafted, comprehensive skill for a complex multi-step image generation workflow. Its greatest strengths are the exceptionally clear workflow with explicit blocking gates and validation checkpoints, excellent progressive disclosure to reference files, and highly actionable guidance with specific file paths, CLI flags, and templates. The main weakness is verbosity — particularly the Image Generation Tools backend resolution section and Confirmation Policy, which could be more concise while preserving the same information density.

Suggestions

Tighten the 'Image Generation Tools' section by converting the multi-paragraph backend resolution logic into a compact decision table or numbered priority list without the extensive inline explanations.

Condense the 'User Input Tools' preamble — Claude can infer tool substitution patterns from a single sentence rather than a 3-point priority list with examples.

DimensionReasoningScore

Conciseness

The skill is quite long (~300+ lines) with significant verbosity in areas like the Image Generation Tools section (multi-paragraph backend resolution logic) and Confirmation Policy. While much content is necessary for a complex multi-step skill, sections like the user input tools preamble and the detailed backend selection hierarchy could be tightened. Some explanatory text (e.g., explaining what 'ask' mode does) is redundant given Claude's inference ability.

2 / 3

Actionability

The skill provides highly concrete, actionable guidance: specific CLI flags (--type, --palette, --quick), exact file paths and naming conventions (prompts/NN-{type}-[slug].md), explicit tool invocation patterns, detailed file structure with examples, and a clear completion report template. Every step has specific actions rather than vague descriptions.

3 / 3

Workflow Clarity

The workflow is exceptionally well-structured with a numbered 6-step process (Steps 0-5), a progress checklist with blocking/warning indicators (⛔, ⚠️), a visual flow diagram, explicit validation gates (confirmation policy as hard gate before Steps 3-4), and clear error handling (backup before regeneration, auto-retry on failure, text correction policy prohibiting bitmap patching). The blocking step 0 and confirmation hard gate are excellent validation checkpoints.

3 / 3

Progressive Disclosure

Excellent progressive disclosure with a clear overview in SKILL.md and well-signaled one-level-deep references to detailed content: dimensions (text.md, mood.md, font.md), workflow details (confirm-options.md, prompt-template.md, reference-images.md), config (preferences-schema.md, first-time-setup.md), and more. The References section at the bottom provides a clean navigation index. Content is appropriately split between the main file and reference files.

3 / 3

Total

11

/

12

Passed

Description

100%

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 is a strong skill description that clearly communicates what the skill does (generates article cover images with specific configurable parameters), provides concrete details about its capabilities (dimensions, palettes, styles, aspect ratios), and includes explicit trigger guidance with natural user phrases. It is concise, uses third-person voice, and is highly distinctive in its niche.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and parameters: 5 dimensions (type, palette, rendering, text, mood), 11 color palettes, 7 rendering styles, and three specific aspect ratios with their exact values.

3 / 3

Completeness

Clearly answers both 'what' (generates article cover images with specific dimensions, palettes, rendering styles, and aspect ratios) and 'when' (explicit 'Use when' clause with quoted trigger phrases).

3 / 3

Trigger Term Quality

Includes natural trigger terms users would say: 'generate cover image', 'create article cover', 'make cover'. Also includes domain-specific terms like 'article cover images', 'cinematic', 'widescreen', and aspect ratio values that users might reference.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche: article cover image generation with specific parameters. The combination of 'cover image' + 'article' + specific dimensions/palettes/styles makes it very unlikely to conflict with generic image generation or other design skills.

3 / 3

Total

12

/

12

Passed

Validation

72%

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

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

8

/

11

Passed

Repository
jimliu/baoyu-skills
Reviewed

Table of Contents

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