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klingai-image-to-video

tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-image-to-video

Generate videos from static images using Kling AI. Use when animating images, creating motion from stills, or building image-based content. Trigger with phrases like 'klingai image to video', 'kling ai animate image', 'klingai img2vid', 'animate picture klingai'.

58%

Overall

SKILL.md
Review
Evals

Validation

81%
CriteriaDescriptionResult

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 skeleton outline rather than actionable documentation. It lacks any concrete code examples, API parameters, or specific implementation details. The workflow steps are generic placeholders that could apply to any API integration, providing no Kling AI-specific guidance.

Suggestions

Add executable Python code showing actual API calls with request/response examples for image-to-video generation

Include specific motion parameters and their values (e.g., camera movement types, animation duration, motion intensity settings)

Provide concrete image requirements (dimensions, file size limits, supported formats with specifics)

Add inline validation steps showing how to check API response status and handle common failure modes before deferring to errors.md

DimensionReasoningScore

Conciseness

The content is relatively brief but includes some unnecessary filler like 'This skill demonstrates' and generic descriptions. The steps are vague placeholders rather than substantive content.

2 / 3

Actionability

No concrete code, API calls, or executable examples provided. Steps like 'Prepare Image' and 'Configure Motion' are abstract descriptions without any actual implementation details, parameters, or commands.

1 / 3

Workflow Clarity

Steps are listed but completely lack specifics - no actual API endpoints, no parameter names, no validation checkpoints. 'Iterate: Refine motion settings' provides zero guidance on what to check or how to refine.

1 / 3

Progressive Disclosure

References to external files (errors.md, examples.md) are present and one-level deep, but the main content is so sparse that it over-relies on external files for essential information that should be in the skill itself.

2 / 3

Total

6

/

12

Passed

Activation

90%

This is a well-structured skill description with excellent trigger term coverage and clear 'when to use' guidance. The main weakness is moderate specificity - it describes the general capability but doesn't detail specific features like video duration, quality settings, or supported image formats that could help Claude understand the full scope.

Suggestions

Add 2-3 more specific capabilities beyond 'generate videos' such as duration options, motion styles, or output quality settings to improve specificity

DimensionReasoningScore

Specificity

Names the domain (Kling AI video generation) and the core action (generate videos from static images), but lacks comprehensive detail about specific capabilities like duration options, style controls, or output formats.

2 / 3

Completeness

Clearly answers both what (generate videos from static images using Kling AI) and when (explicit 'Use when...' clause with triggers and a 'Trigger with phrases like...' section providing concrete examples).

3 / 3

Trigger Term Quality

Includes good coverage of natural terms: 'animating images', 'creating motion from stills', 'image-based content', plus specific trigger phrases like 'klingai image to video', 'animate picture', and 'img2vid' covering common variations.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with 'Kling AI' as a specific tool identifier and multiple branded trigger phrases ('klingai', 'kling ai') that clearly distinguish it from generic video generation or other AI video tools.

3 / 3

Total

11

/

12

Passed

Reviewed

Table of Contents

ValidationImplementationActivation

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