klingai-sdk-patterns

tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-sdk-patterns

Implement common SDK patterns for Kling AI integration. Use when building production applications with Kling AI. Trigger with phrases like 'klingai sdk', 'kling ai client', 'klingai patterns', 'kling ai best practices'.

58%

Overall

Validation — 81%

Implementation — 22%

Activation — 90%

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 essentially a skeleton or outline rather than actionable guidance. It describes what should be done at a high level but provides no concrete code, specific patterns, or executable examples. The content fails to teach Claude anything it doesn't already know about SDK patterns - it merely lists concepts without implementation details.

Suggestions

Add concrete, executable code examples for client initialization, showing actual Kling AI SDK usage with proper imports and configuration

Include specific error handling code with actual exception types and retry logic implementation (e.g., exponential backoff pattern)

Provide a complete async job polling example with timeout handling and status checking

Replace abstract instruction steps with actual implementation code or at minimum pseudocode that shows the specific Kling AI API calls and patterns

Dimension	Reasoning	Score
Conciseness	The content is relatively brief but includes some unnecessary padding like 'Understanding of async programming concepts' as a prerequisite (Claude knows this) and vague section headers. The actual instructions are abstract placeholders rather than concrete content.	2 / 3
Actionability	The skill provides no concrete code, commands, or executable examples. The 'Instructions' section lists abstract steps like 'Build a reusable client class' without any actual implementation, code snippets, or specific guidance on how to accomplish these tasks.	1 / 3
Workflow Clarity	While steps are numbered, they are vague descriptions rather than actionable sequences. There are no validation checkpoints, no feedback loops for error recovery, and no concrete guidance on what constitutes success at each step.	1 / 3
Progressive Disclosure	The skill does reference external files for errors and examples, which is good structure. However, the main content is so thin that it's unclear what value this file provides beyond being a pointer to other files. The references use template variables ({baseDir}) which is appropriate.	2 / 3
	Total	6 / 12 Passed

Activation

90%

This is a well-structured description with strong trigger terms and clear 'when to use' guidance. The main weakness is the lack of specific concrete actions - 'common SDK patterns' is somewhat vague and doesn't tell Claude exactly what capabilities this skill provides (e.g., authentication, error handling, request building).

Suggestions

Replace 'common SDK patterns' with specific actions like 'handle authentication, manage rate limits, structure API requests, process responses'

Add examples of what 'production applications' means in this context (e.g., 'video generation apps', 'image processing pipelines')

Dimension	Reasoning	Score
Specificity	Names the domain (Kling AI SDK/integration) and mentions 'common SDK patterns' and 'production applications', but doesn't list specific concrete actions like 'authenticate requests', 'handle rate limits', or 'manage API responses'.	2 / 3
Completeness	Clearly answers both what ('Implement common SDK patterns for Kling AI integration') and when ('Use when building production applications with Kling AI. Trigger with phrases like...'). Has explicit trigger guidance.	3 / 3
Trigger Term Quality	Explicitly lists natural trigger phrases users would say: 'klingai sdk', 'kling ai client', 'klingai patterns', 'kling ai best practices'. Good coverage of variations including spacing differences.	3 / 3
Distinctiveness Conflict Risk	Very specific niche targeting Kling AI SDK specifically. The explicit product name 'Kling AI' and SDK-focused triggers make it unlikely to conflict with other skills.	3 / 3
	Total	11 / 12 Passed

Reviewed

14 days ago

Table of Contents

Validation Implementation Activation

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