baoyu-xhs-images
Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.
Install with Tessl CLI
npx tessl i github:jimliu/baoyu-skills --skill baoyu-xhs-images94
Does it follow best practices?
Agent success when using this skill
Validation for skill structure
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 capabilities (10 styles, 8 layouts, 1-10 images), uses natural trigger terms in both Chinese and English, includes an explicit 'Use when' clause, and targets a clearly distinct niche (Xiaohongshu/Chinese social media infographics).
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple concrete actions and specifications: 'Generates infographic series', '10 visual styles', '8 layouts', 'Breaks content into 1-10 cartoon-style images', 'optimized for XHS engagement'. Very specific about capabilities. | 3 / 3 |
Completeness | Clearly answers both what (generates infographic series with specific styles/layouts for XHS) AND when (explicit 'Use when' clause with multiple trigger scenarios including Chinese terms and platform context). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: '小红书图片', 'XHS images', 'RedNote infographics', '小红书种草', 'social media infographics', 'Chinese platforms'. Includes both Chinese and English variations. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche targeting Xiaohongshu/Little Red Book specifically. The combination of Chinese platform focus, specific style counts, and Chinese trigger terms makes it unlikely to conflict with generic image or infographic skills. | 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, comprehensive skill for a complex multi-step image generation workflow. It excels in actionability with concrete commands and schemas, and has excellent workflow clarity with explicit checkpoints and validation steps. The main weakness is moderate verbosity - some tables and diagrams are redundant, though the complexity of the task may justify the thoroughness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some redundancy (e.g., the workflow flow diagram duplicates the checklist, style/layout tables are repeated in different forms). Some sections could be tightened, though most content is necessary for this complex multi-step process. | 2 / 3 |
Actionability | Provides fully executable bash commands, concrete file structures, specific YAML schemas, and copy-paste ready code blocks. The workflow steps are explicit with exact file paths, naming conventions, and command patterns. | 3 / 3 |
Workflow Clarity | Excellent multi-step workflow with explicit checkpoints (⛔ BLOCKING, ⚠️ REQUIRED), a progress checklist, clear flow diagram, and validation steps. Includes backup rules for conflict resolution and explicit 'do NOT skip' warnings for critical confirmations. | 3 / 3 |
Progressive Disclosure | Well-structured with clear overview sections and one-level-deep references to detailed materials (e.g., 'references/presets/<style>.md', 'references/workflows/analysis-framework.md'). Content is appropriately split between main skill and reference files. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
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