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baoyu-cover-image

Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 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", "make cover", or mentions "封面图".

Install with Tessl CLI

npx tessl i github:jimliu/baoyu-skills --skill baoyu-cover-image
What are skills?

Overall
score

92%

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Discovery

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 an excellent skill description that hits all the marks. It provides specific technical capabilities (dimensions, palettes, rendering styles, aspect ratios), uses third person voice correctly, and includes an explicit 'Use when' clause with natural trigger terms in both English and Chinese. The description is concise yet comprehensive, making it easy for Claude to select this skill appropriately.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and parameters: '5 dimensions (type, palette, rendering, text, mood)', '9 color palettes', '6 rendering styles', and three specific aspect ratios with their values.

3 / 3

Completeness

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

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: 'generate cover image', 'create article cover', 'make cover', and includes the Chinese term '封面图' for multilingual support.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with clear niche: specifically 'article cover images' with unique parameters (5 dimensions, specific palettes/styles). Unlikely to conflict with general image generation skills due to the specific 'cover' and 'article' focus.

3 / 3

Total

12

/

12

Passed

Implementation

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-structured, highly actionable skill with excellent workflow clarity and progressive disclosure. The five-dimensional customization system is clearly documented with concrete examples and reference tables. Minor verbosity in some tables and repeated information slightly impacts token efficiency, but overall this is a strong skill document.

Suggestions

Consider consolidating the dimension tables - the 'Five Dimensions' summary table and individual gallery tables have overlapping information that could be streamlined.

DimensionReasoningScore

Conciseness

The skill is comprehensive but includes some redundancy - the tables repeat information that could be consolidated, and some explanations (like the file structure details) could be more compact. However, it avoids explaining basic concepts Claude knows.

2 / 3

Actionability

Excellent actionability with concrete bash commands, specific option flags, clear examples for every use case, and executable code snippets. The usage section provides copy-paste ready commands covering all scenarios.

3 / 3

Workflow Clarity

Outstanding workflow clarity with explicit progress checklist, clear step-by-step flow diagram, validation checkpoints marked with ⚠️, and specific conditions for skipping steps. The regeneration workflow includes explicit backup-first-then-update-prompt sequence.

3 / 3

Progressive Disclosure

Excellent progressive disclosure with a clear overview in the main file and well-organized one-level-deep references to detailed documentation (palettes, renderings, workflow details, config). Reference links are clearly signaled and logically grouped.

3 / 3

Total

11

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata' field is not a dictionary

Warning

license_field

'license' field is missing

Warning

Total

14

/

16

Passed

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.