Generates professional infographics with 20 layout types and 17 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", or "可视化".
Install with Tessl CLI
npx tessl i github:jimliu/baoyu-skills --skill baoyu-infographicOverall
score
99%
Does it follow best practices?
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 a strong skill description that follows best practices. It uses third person voice, provides specific quantified capabilities (20 layouts, 17 styles), clearly describes what the skill does, and includes an explicit 'Use when' clause with multilingual trigger terms. The description is concise yet comprehensive.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generates professional infographics', 'Analyzes content', 'recommends layout×style combinations', 'generates publication-ready infographics'. Also quantifies capabilities with '20 layout types and 17 visual styles'. | 3 / 3 |
Completeness | Clearly answers both what (generates infographics with specific layout/style options, analyzes content, recommends combinations) AND when (explicit 'Use when' clause with specific trigger terms including multilingual variations). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'infographic', '信息图' (Chinese), 'visual summary', '可视化' (Chinese for visualization). Good coverage of both English and Chinese terms users might naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on infographics with distinct triggers. The specific mention of 'infographic', layout types, and visual styles makes it unlikely to conflict with general image generation or document creation skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an exemplary skill file that demonstrates excellent token efficiency through tables and structured formatting, provides fully actionable guidance with concrete commands and file paths, and maintains clear workflow progression with appropriate validation checkpoints. The progressive disclosure is well-executed with the main file serving as a comprehensive overview while pointing to detailed reference materials.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is highly token-efficient, using tables for compact reference, avoiding explanations of concepts Claude already knows, and presenting information in a scannable format without unnecessary prose. | 3 / 3 |
Actionability | Provides concrete bash commands, specific file paths, exact option values, and executable code snippets. The workflow steps are specific and copy-paste ready with clear outputs at each stage. | 3 / 3 |
Workflow Clarity | The 7-step workflow is clearly sequenced with explicit outputs at each step (analysis.md, structured-content.md, etc.). Includes validation through user confirmation in Step 4 and auto-retry on failure in Step 6. | 3 / 3 |
Progressive Disclosure | Excellent structure with overview tables in the main file and clear one-level-deep references to detailed definitions (references/layouts/, references/styles/, etc.). Navigation is well-signaled throughout. | 3 / 3 |
Total | 12 / 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.
Validation — 14 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata' field is not a dictionary | Warning |
license_field | 'license' field is missing | Warning |
Total | 14 / 16 Passed | |
Table of Contents
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