klingai-async-workflows

Build async video generation workflows with Kling AI using queues, state machines, and event-driven patterns. Trigger with phrases like 'klingai async', 'kling ai workflow', 'klingai pipeline', 'async video generation'.

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

65%

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 complete executable code, but it duplicates bundled reference material inline without linking it and omits validation/retry checkpoints for its batch workflows. Progressive disclosure is the weakest dimension because the reference files are orphaned.

Suggestions

Replace the inline Redis queue, state machine, and pipeline code with concise summaries that link to references/redis-queue-integration.md, references/workflow-state-machine.md, and references/workflow-implementation.md so the bundled files are actually used and the body stays lean.

Add explicit validation/retry checkpoints to the queue worker and pipeline (e.g., verify task_status, retry on failure up to max_attempts, re-validate after errors) and link references/errors.md from the relevant sections.

Fix or remove the dangling references to a 'job-monitoring skill' and 'klingai-webhook-config skill' that are not part of this bundle, and surface references/examples.md only if it gains real content beyond 'See code examples above'.

Dimension	Reasoning	Score
Conciseness	Prose is lean and assumes competence, but the body inlines full overlapping implementations of the Redis queue, state machine, and pipeline that duplicate the bundled references/ files; these could be tightened or offloaded.	2 / 3
Actionability	Provides fully executable, copy-paste-ready code for submission/auth, queue workers, state machines, multi-step pipelines, and webhooks with concrete function signatures and API calls.	3 / 3
Workflow Clarity	Multi-step sequences are present with comments, but the batch queue worker and pipeline lack validation checkpoints and retry feedback loops; per the rubric this caps batch-operation workflows at 2.	2 / 3
Progressive Disclosure	Five references/ files exist (redis-queue-integration, workflow-state-machine, workflow-implementation, errors, examples) but the body never links them, while inlining the very content they cover; references are present but unsignaled and content that should be separate is inline.	2 / 3
	Total	9 / 12 Passed

Description

100%

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

A strong description that concisely states concrete capabilities and provides explicit trigger guidance in the imperative voice used by the reference good examples. No fluff or over-claims.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities — 'using queues, state machines, and event-driven patterns' — naming specific architectural mechanisms rather than vague actions.	3 / 3
Completeness	Explicitly answers what ('Build async video generation workflows with Kling AI using queues, state machines, and event-driven patterns') and when ('Trigger with phrases like ...'), satisfying the explicit-trigger requirement that would otherwise cap at 2.	3 / 3
Trigger Term Quality	Provides four trigger phrases ('klingai async', 'kling ai workflow', 'klingai pipeline', 'async video generation') covering natural variations a user would say, including the spaced variant.	3 / 3
Distinctiveness Conflict Risk	Targets a clear niche (Kling AI async video generation) with distinct, product-specific triggers unlikely to collide with other skills.	3 / 3
	Total	12 / 12 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
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
Commit: 3022dd3

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

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