klingai-batch-processing

tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-batch-processing

Process multiple video generation requests efficiently with Kling AI. Use when generating multiple videos or building content pipelines. Trigger with phrases like 'klingai batch', 'kling ai bulk', 'multiple videos klingai', 'klingai parallel generation'.

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 table of contents with no actionable content. It lists abstract steps without any executable code, concrete examples, or specific guidance for batch processing. The critical details (actual API calls, rate limit handling code, progress tracking implementation) are entirely deferred to external files, leaving the main skill file unable to provide any immediate value.

Suggestions

Add executable Python code showing parallel job submission with asyncio and rate limiting (e.g., using asyncio.Semaphore)

Include a concrete example with actual API endpoint calls, request/response formats, and error handling inline

Add explicit validation checkpoints: verify rate limit status before submission, check job status polling, validate collected results

Remove prerequisites section - Claude knows Python asyncio; instead use that space for actual implementation code

Dimension	Reasoning	Score
Conciseness	The content is relatively brief but includes some unnecessary padding like 'This skill teaches' and prerequisites that Claude would already know (Python asyncio, async/await patterns). The overview could be more direct.	2 / 3
Actionability	The skill provides only abstract steps ('Prepare Batch', 'Rate Limit Planning') without any concrete code, commands, or executable examples. It describes what to do but never shows how to do it.	1 / 3
Workflow Clarity	Steps are listed but extremely vague with no validation checkpoints. For batch operations involving rate limits and parallel processing, there should be explicit validation steps and error recovery loops, but these are entirely absent.	1 / 3
Progressive Disclosure	References to external files (errors.md, examples.md) are present and one-level deep, but the main skill file lacks any substantive content - it's essentially an empty shell pointing elsewhere for all actual guidance.	2 / 3
	Total	6 / 12 Passed

Activation

90%

This is a solid skill description with excellent trigger term coverage and clear 'when to use' guidance. The main weakness is the lack of specific concrete actions - it tells you it processes batch requests but doesn't enumerate what specific operations it can perform (e.g., queue management, progress tracking, error handling).

Suggestions

Add 2-3 specific concrete actions like 'queue multiple prompts', 'track generation progress', 'handle parallel jobs' to improve specificity

Dimension	Reasoning	Score
Specificity	Names the domain (video generation with Kling AI) and mentions 'batch' processing, but lacks specific concrete actions like 'queue videos', 'track progress', or 'manage generation jobs'. The phrase 'Process multiple video generation requests efficiently' is somewhat vague about what actions are actually performed.	2 / 3
Completeness	Clearly answers both what ('Process multiple video generation requests efficiently with Kling AI') and when ('Use when generating multiple videos or building content pipelines. Trigger with phrases like...'). Has explicit trigger guidance.	3 / 3
Trigger Term Quality	Includes good coverage of natural trigger terms: 'klingai batch', 'kling ai bulk', 'multiple videos klingai', 'klingai parallel generation'. These cover variations users might naturally say when needing batch video generation capabilities.	3 / 3
Distinctiveness Conflict Risk	Very specific niche combining 'Kling AI' with 'batch/bulk/multiple' video generation. The explicit trigger phrases with 'klingai' branding make it clearly distinguishable from single video generation or other AI video tools.	3 / 3
	Total	11 / 12 Passed

Reviewed

14 days ago

Table of Contents

Validation Implementation Activation

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