Generate code explanation cards with syntax highlighting for tutorials and education. Creates title cards and explanation cards with Korean descriptions and code examples.
73
66%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./backup/code-card-news-generator/SKILL.mdQuality
Discovery
67%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 description effectively communicates specific capabilities around generating code explanation cards with Korean descriptions and syntax highlighting. Its main weakness is the lack of explicit trigger guidance ('Use when...') which would help Claude know when to select this skill. The Korean language specificity provides good distinctiveness but may limit discoverability for users who don't mention Korean explicitly.
Suggestions
Add a 'Use when...' clause with trigger terms like 'code tutorial cards', 'programming education', 'Korean code explanations', or 'visual code examples'
Include common user phrases that would trigger this skill, such as 'explain this code visually', 'create a code card', or 'tutorial graphics'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generate code explanation cards', 'syntax highlighting', 'Creates title cards and explanation cards', 'Korean descriptions', 'code examples'. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers 'what' (generate code explanation cards with syntax highlighting, title cards, Korean descriptions), but lacks an explicit 'Use when...' clause or equivalent trigger guidance for when Claude should select this skill. | 2 / 3 |
Trigger Term Quality | Contains some relevant keywords like 'code explanation', 'tutorials', 'education', 'syntax highlighting', but missing common variations users might say like 'code cards', 'programming tutorial', 'code snippets', or 'learning materials'. | 2 / 3 |
Distinctiveness Conflict Risk | The combination of 'code explanation cards', 'Korean descriptions', and 'syntax highlighting for tutorials' creates a clear niche. The Korean language specificity and card-based format make it unlikely to conflict with general code documentation or tutorial skills. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides highly actionable, executable guidance for generating code explanation cards with clear command examples and input formats. However, it's somewhat verbose with redundant sections (good/bad examples, example topics) and lacks validation checkpoints in the workflow. The content would benefit from being split into a concise overview with references to detailed format specifications.
Suggestions
Add a validation step after running auto_code_generator.py (e.g., 'Verify files exist: ls -la ./output/*.png' and check for expected file count)
Move the 'Input Format', 'Design Specifications', and 'Content Guidelines' sections to a separate REFERENCE.md file, keeping only essential quick-start info in SKILL.md
Remove the 'Example Topics' section - Claude can generate appropriate topics without this list
Integrate error handling into the main workflow as a conditional step rather than a separate section
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but includes some redundancy - the 'Good Code Example' vs 'Bad Code Example' section explains obvious concepts, and the 'Example Topics' section lists things Claude could easily generate. The workflow steps are clear but could be tighter. | 2 / 3 |
Actionability | Provides fully executable bash commands with heredoc syntax, complete Python script invocations with all required arguments, and concrete input/output format examples. The code is copy-paste ready. | 3 / 3 |
Workflow Clarity | The 4-step workflow is clearly sequenced, but lacks validation checkpoints. There's no verification step after running the Python script (e.g., checking if files were created successfully, validating image output). Error handling section exists but doesn't integrate into the workflow. | 2 / 3 |
Progressive Disclosure | Content is reasonably organized with clear sections, but it's a monolithic document (~200 lines) that could benefit from splitting detailed format specifications and examples into separate reference files. No external file references are used. | 2 / 3 |
Total | 9 / 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.
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Table of Contents
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