klingai-model-catalog
Explore Kling AI models, versions, and capabilities for video and image generation. Use when selecting models or comparing features. Trigger with phrases like 'kling ai models', 'klingai capabilities', 'kling video models', 'klingai features'.
94
95%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
89%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 solid description with clear 'when' guidance and brand-specific trigger terms that minimize conflict risk. Its main weakness is that the 'what' portion uses somewhat vague verbs like 'explore' rather than listing concrete actions (e.g., 'list available models', 'compare resolution and duration limits', 'recommend model versions'). Overall it performs well for skill selection purposes.
Suggestions
Replace the vague verb 'explore' with more concrete actions such as 'list available models, compare resolution and duration specs, recommend model versions for specific use cases'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Kling AI models) and some actions ('explore', 'selecting models', 'comparing features'), but the actions are somewhat vague—'explore' is not a concrete action, and it doesn't list specific capabilities like 'generate videos', 'create images', 'compare model versions'. | 2 / 3 |
Completeness | Clearly answers both 'what' (explore Kling AI models, versions, and capabilities for video and image generation) and 'when' (use when selecting models or comparing features, with explicit trigger phrases). | 3 / 3 |
Trigger Term Quality | Includes multiple natural trigger terms: 'kling ai models', 'klingai capabilities', 'kling video models', 'klingai features', plus mentions 'video and image generation'. These cover the likely phrases a user would say when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Highly specific to Kling AI as a product/platform, making it very unlikely to conflict with other skills. The trigger terms are brand-specific and clearly scoped. | 3 / 3 |
Total | 11 / 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 excellent reference skill that efficiently catalogs Kling AI models with well-structured tables, a practical decision tree, and a concrete API example. It respects Claude's intelligence by presenting information as a lookup reference rather than explaining basic concepts. The external links provide appropriate progressive disclosure for pricing and detailed API documentation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and well-structured as a reference catalog. Tables are used efficiently, no unnecessary explanations of what video generation or APIs are, and every section earns its place as a lookup reference. | 3 / 3 |
Actionability | Provides concrete model IDs, specific parameter values, a working Python code example, exact credit costs, and a clear decision tree for model selection. All information is directly usable. | 3 / 3 |
Workflow Clarity | This is primarily a reference/catalog skill rather than a multi-step workflow skill. The decision tree provides clear, unambiguous guidance for model selection, and the single API example shows exactly how to apply the chosen model. No destructive or batch operations require validation checkpoints. | 3 / 3 |
Progressive Disclosure | Content is well-organized into logical sections (video models, image models, specialty models, modes, decision tree, API usage) with clear external resource links for deeper documentation. No unnecessary nesting or monolithic walls of text. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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