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".
91
92%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
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 a strong skill description that clearly communicates what the skill does (generates article cover images with specific configurable dimensions) and when to use it (explicit trigger phrases). The description is concise yet information-dense, with specific technical details that help distinguish it from general image generation skills.
| Dimension | Reasoning | Score |
|---|---|---|
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 — specifically targets article cover image generation with a unique combination of dimensions, palettes, and rendering styles. The trigger terms are narrowly scoped to 'cover image' and 'article cover', making conflicts with generic image generation or other skills unlikely. | 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-crafted, highly actionable skill with excellent workflow clarity and progressive disclosure. The multi-step process is clearly sequenced with explicit blocking gates, validation checkpoints, and error recovery paths. The main weakness is moderate verbosity—some sections (Image Generation Tools resolution, Confirmation Policy, User Input Tools) could be more concise without losing clarity, and a few policy details feel over-specified for Claude's capabilities.
Suggestions
Tighten the 'Image Generation Tools' backend resolution section—the 4-level priority cascade with edge cases could be condensed into a simpler decision table.
The 'User Input Tools' section explains generic tool-selection fallback logic that Claude can infer; consider reducing to 1-2 lines or removing entirely.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long with some sections that could be tightened (e.g., the Image Generation Tools resolution logic is verbose, the Confirmation Policy section repeats concepts, and the User Input Tools section explains fallback behavior Claude could infer). However, most content is genuinely instructive and not padding about basic concepts. | 2 / 3 |
Actionability | The skill provides highly concrete, actionable guidance: specific file paths, exact CLI flags, precise file naming conventions, explicit directory structures, step-by-step workflows with specific commands, and clear output templates. The completion report format is copy-paste ready. | 3 / 3 |
Workflow Clarity | The workflow is exceptionally well-structured with a progress checklist, clear flow diagram, numbered steps with blocking/warning annotations, explicit validation checkpoints (e.g., verify ref files exist before writing, backup before regenerating), and a confirmation gate that explicitly blocks progression. Error recovery is addressed (auto-retry on failure, backup before regeneration). | 3 / 3 |
Progressive Disclosure | Excellent progressive disclosure: the main SKILL.md serves as a clear overview with well-organized sections, and detailed content is delegated to one-level-deep references (references/workflow/, references/config/, references/dimensions/, etc.) that are clearly signaled with descriptive link text. The References section at the bottom provides a comprehensive navigation index. | 3 / 3 |
Total | 11 / 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.
Validation — 8 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
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
- Commit
505a7e1
- Reviewed
Table of Contents
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