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'.
72
91%
Does it follow best practices?
Impact
—
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' triggers and brand-specific terminology that makes it highly distinctive. The main weakness is that the 'what' portion could be more specific about concrete actions beyond 'explore' and 'compare'—listing specific capabilities like listing available models, checking supported resolutions, or comparing generation parameters would strengthen it.
Suggestions
Replace the vague 'Explore' with more concrete actions like 'Lists available Kling AI models, compares version capabilities, and identifies supported video/image generation parameters.'
| 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 models and their ecosystem. The trigger terms are brand-specific ('kling ai', 'klingai') making it very unlikely to conflict with other skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong reference skill that efficiently catalogs Kling AI models using well-structured tables, a practical decision tree, and a concrete API example. The content is concise, actionable, and well-organized for its purpose as a model selection guide. Minor improvement could come from splitting some reference tables into separate files if the skill grows, but at its current size the single-file approach is acceptable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and well-structured using tables for dense information delivery. It avoids explaining what video generation or APIs are, assumes Claude's competence, and every section serves a clear reference purpose. | 3 / 3 |
Actionability | Provides specific model IDs, concrete API code example with real parameters, a clear decision tree for model selection, exact credit costs, and specific parameter values like `motion_has_audio: true`. The guidance is copy-paste ready. | 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. The single API usage example is straightforward. No destructive or batch operations require validation checkpoints. | 3 / 3 |
Progressive Disclosure | The content is well-organized with clear sections and tables, and includes external resource links. However, with no bundle files, all content is inline in a single file. The aspect ratios table and some specialty model details could potentially be split out, though the overall length is reasonable. | 2 / 3 |
Total | 11 / 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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