klingai-model-catalog

tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-model-catalog

Build explore Kling AI models and their capabilities for video generation. Use when selecting models or understanding features. Trigger with phrases like 'kling ai models', 'klingai capabilities', 'kling video models', 'klingai features'.

53%

Overall

Validation — 81%

Implementation — 22%

Activation — 75%

SKILL.md

Review

Evals

Validation

81%

Warnings & errors only

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
metadata_version	'metadata' field is not a dictionary	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	13 / 16 Passed

Implementation

22%

This skill is a hollow template that describes what a model catalog should contain without actually providing any model information. It lacks the core content - actual model names, capabilities, parameters, pricing tiers, or selection criteria - that would make it useful. The skill tells Claude to 'understand models' without providing any models to understand.

Suggestions

Add a concrete table or list of actual Kling AI models with their names, capabilities (resolution, duration, features), and use cases

Include specific API parameters and code examples for invoking different models (e.g., `model: 'kling-v1-pro'` vs `model: 'kling-v1-standard'`)

Replace generic instructions with actionable decision criteria (e.g., 'Use kling-v1-pro for 1080p output when quality > speed; use kling-v1-standard for drafts')

Add actual pricing/quota information or specific tradeoff comparisons rather than linking to external calculators

Dimension	Reasoning	Score
Conciseness	The content includes some unnecessary filler like 'comprehensive guide' and generic prerequisites that Claude would already understand. The instructions are padded with obvious steps like 'Review Available Models' without providing the actual model information.	2 / 3
Actionability	The skill provides no concrete information about actual Kling AI models, their names, capabilities, or parameters. The 'instructions' are vague meta-steps ('Review Available Models') rather than actionable guidance with specific model names, API calls, or comparison data.	1 / 3
Workflow Clarity	The numbered steps are generic placeholders without substance. There's no actual workflow for model selection - just abstract verbs like 'Compare Capabilities' without explaining what capabilities exist or how to compare them.	1 / 3
Progressive Disclosure	References to external files (errors.md, examples.md) and documentation links are present and one-level deep, but the main skill file lacks the essential overview content that should exist before pointing elsewhere. The skill is essentially empty, delegating everything to other files.	2 / 3
	Total	6 / 12 Passed

Activation

75%

The description successfully establishes a clear niche around Kling AI models and includes explicit trigger guidance, which are its main strengths. However, it suffers from a grammatical error ('Build explore'), vague action descriptions, and trigger terms that are too brand-focused rather than reflecting natural user language about video generation tasks.

Suggestions

Fix the grammatical error 'Build explore' - clarify whether this means 'Build and explore' or is describing a different capability

Add more natural user trigger phrases like 'create AI video', 'text to video', 'generate video clips' alongside the branded terms

List specific concrete actions the skill enables (e.g., 'compare model tiers', 'check resolution limits', 'view pricing options') rather than vague 'understanding features'

Dimension	Reasoning	Score
Specificity	Names the domain (Kling AI models, video generation) and mentions some actions ('Build explore', 'selecting models', 'understanding features'), but the actions are vague and 'Build explore' appears to be a typo/grammatical error. Not comprehensive in listing concrete capabilities.	2 / 3
Completeness	Explicitly answers both what ('Build explore Kling AI models and their capabilities for video generation') and when ('Use when selecting models or understanding features. Trigger with phrases like...'). Has clear trigger guidance despite other weaknesses.	3 / 3
Trigger Term Quality	Includes some relevant keywords ('kling ai models', 'klingai capabilities', 'kling video models', 'klingai features'), but these are fairly technical/branded terms. Missing natural user phrases like 'create video with kling', 'AI video generation', or 'text to video'.	2 / 3
Distinctiveness Conflict Risk	Very specific to Kling AI as a branded product with distinct trigger terms. Unlikely to conflict with other video generation skills due to the specific 'kling' and 'klingai' terminology throughout.	3 / 3
	Total	10 / 12 Passed

Reviewed

16 days ago

Table of Contents

Validation Implementation Activation

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