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klingai-style-transfer

Apply artistic styles and visual effects to Kling AI video generation. Use when creating stylized content or using effects API. Trigger with phrases like 'klingai style', 'kling ai effects', 'klingai artistic video', 'stylize klingai video'.

64

Quality

77%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/saas-packs/klingai-pack/skills/klingai-style-transfer/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with executable code and useful tables, but it buries or ignores its own bundle files and lacks explicit validation/polling checkpoints for its asynchronous operations. Linking the references and adding a verify-status step would materially lift the lower dimensions.

Suggestions

Link the existing reference files from the body (e.g. 'Full StyleSettings/VideoStyle API: see references/style-transfer-implementation.md; brand-consistency manager: see references/brand-style-consistency.md') so progressive disclosure is one level deep and signaled.

Replace 'Poll for result as usual' with an explicit validate-then-retry loop (poll the task status endpoint, check for failure, retry/backoff) and note verification of the returned video URL before reporting success.

Trim or merge the duplicated style keyword lists (the inline recipes table vs. the STYLE_PROMPTS map in the implementation reference) to reduce token redundancy.

DimensionReasoningScore

Conciseness

Largely lean with code-first sections and tables, but a few minor explanatory lines (e.g. 'higher = stricter prompt adherence') and the duplicated style-recipe content slightly pad what could be trimmed.

4 / 5

Actionability

Provides fully executable, copy-paste-ready Python for text2video, effects, Kolors restyle, and style-consistency workflows, with concrete parameter tables covering the common cases.

5 / 5

Workflow Clarity

Sequences are implicit and the polling step is hand-waved ('Poll for result as usual'), with no validation/verification checkpoints for the batch-style and async task operations the rubric explicitly caps at 3.

3 / 5

Progressive Disclosure

The body is reasonably sectioned, but five reference files exist (style-transfer-implementation, brand-style-consistency, style-reference-from-image, errors, examples) yet none are linked or signaled from the body, so the overview never points to the deeper materials.

3 / 5

Total

15

/

20

Passed

Description

86%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description clearly states what the skill does and when to use it, with concrete trigger phrases and a distinct Kling-AI-specific niche. Minor tightening of phrasing and awkward line wrapping would improve readability.

DimensionReasoningScore

Specificity

Names the domain and concrete actions ('Apply artistic styles and visual effects to Kling AI video generation'), covering both prompt-engineering and effects-API pathways, though the action list is compact rather than exhaustive.

4 / 5

Completeness

Explicitly answers both 'what' (apply artistic styles and visual effects to Kling AI video generation) and 'when' ('Use when creating stylized content or using effects API') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Provides several natural trigger phrases ('klingai style', 'kling ai effects', 'stylize klingai video'), good coverage of user-spoken variants, missing a few common synonyms or file/extension references.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (Kling AI video style/effects) with distinct klingai-prefixed triggers, minimal overlap risk with other skills.

5 / 5

Total

18

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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