klingai-hello-world

Create your first Kling AI video generation with a minimal working example. Use when learning Kling AI or testing your setup. Trigger with phrases like 'kling ai hello world', 'first kling video', 'klingai quickstart', 'test klingai'.

Quality

80%

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Securityby

Low

Low-risk findings worth noting

Quality

Content

78%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 content is highly actionable with complete, runnable examples and a clear two-step workflow with error checkpoints. Its main weakness is progressive disclosure: the bundle files in references/ are never referenced from the body, and the inline language examples duplicate those reference files.

Suggestions

Replace the inlined Node.js example with a pointer to references/minimal-typescript-example.md (and/or references/minimal-python-example.md) so the body is an overview rather than duplicating bundle content.

Add a clearly signaled '## References' section linking to references/examples.md, references/errors.md, and references/curl-example.md so Claude can discover the detailed materials one level deep.

Add a poll-loop timeout or max-retry guardrail and a fix-retry hint on the 'failed' branch to elevate the workflow from checkpointed to a full validate-fix-retry feedback loop.

Dimension	Reasoning	Score
Conciseness	The body is largely lean with code, tables, and short sections that assume Claude's competence, but it inlines two near-duplicate full language examples (Python and Node.js) and includes a mildly marketing overview line ('in under 20 lines of code'), keeping it just below the every-token-earns-its-place 5 anchor.	4 / 5
Actionability	Provides fully executable, copy-paste-ready code for both Python and Node.js covering the common create-then-poll case, plus a concrete response shape and status value table, matching the 5 anchor for fully executable guidance covering common cases.	5 / 5
Workflow Clarity	The create-then-poll sequence is clearly labeled with explicit succeed/failed status checkpoints and a troubleshooting table for error recovery, but the poll loop lacks a timeout/max-retry guardrail and the failed branch breaks without a fix-retry loop, so it does not reach the full validate-fix-retry 5 anchor.	4 / 5
Progressive Disclosure	The body has good section structure, but it inlines full Python and Node.js examples that duplicate dedicated files in references/ (minimal-python-example.md, minimal-typescript-example.md) and never signals any of the bundle files (examples.md, errors.md, curl-example.md), matching the 3 anchor where references exist but are not clearly signaled and content that should be separate is inline.	3 / 5
	Total	16 / 20 Passed

Description

82%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 is well-constructed, explicitly stating both the capability and when to use it with concrete, natural trigger phrases. Its only weakness is specificity, where it states a single high-level action rather than enumerating several concrete capabilities.

Dimension	Reasoning	Score
Specificity	Names the domain ('Kling AI video generation') and one concrete action ('Create your first Kling AI video generation with a minimal working example'), but does not enumerate multiple specific actions, matching the anchor for 1-2 concrete actions rather than the comprehensive list at 5.	3 / 5
Completeness	Explicitly answers both 'what' (create your first Kling AI video generation with a minimal working example) and 'when' (Use when learning Kling AI or testing your setup) with concrete trigger phrases, matching the 5 anchor that requires explicit what AND when with trigger phrases.	5 / 5
Trigger Term Quality	Provides good natural trigger coverage ('kling ai hello world', 'first kling video', 'klingai quickstart', 'test klingai') plus 'learning Kling AI'/'testing your setup', but a few natural synonyms are missing and file extensions do not apply to this SaaS API, so it sits just below the comprehensive 5 anchor.	4 / 5
Distinctiveness Conflict Risk	Targets a clear niche (Kling AI hello-world quickstart) with highly specific triggers unlikely to fire for sibling skills like klingai-install-auth, matching the 5 anchor for a clear niche with distinct triggers and minimal conflict risk.	5 / 5
	Total	17 / 20 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
Path: plugins/saas-packs/klingai-pack/skills/klingai-hello-world/SKILL.md
Commit: 0540a62

Reviewed: about 16 hours ago

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