klingai-job-monitoring
tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-job-monitoringMonitor and track Kling AI video generation jobs. Use when managing multiple generations or building job dashboards. Trigger with phrases like 'klingai job status', 'track klingai jobs', 'kling ai monitoring', 'klingai job queue'.
Validation
81%| 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 that delegates all meaningful content to external references without providing any actionable guidance in the main file. It describes concepts at a high level but lacks the concrete code examples, specific commands, and executable patterns that would make it useful. The workflow steps are placeholders rather than actual instructions.
Suggestions
Add executable code examples for job status polling (e.g., a complete Python async polling loop with the actual API endpoint and response handling)
Include a concrete example of tracking multiple jobs with actual data structures and status checking logic
Add validation checkpoints to the workflow, such as 'verify job ID format before polling' and 'handle rate limiting with exponential backoff'
Provide at least one copy-paste ready dashboard snippet using Rich or similar library instead of just linking to documentation
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is relatively brief but includes some unnecessary padding like the generic prerequisites and vague step descriptions that don't add value. The actual actionable content is minimal. | 2 / 3 |
Actionability | The skill provides only abstract descriptions ('Track Job Submission', 'Poll for Status') without any concrete code, commands, or executable examples. It describes what to do but never shows how. | 1 / 3 |
Workflow Clarity | Steps are listed but are vague placeholders without actual implementation details. No validation checkpoints, no feedback loops for error recovery, and no concrete sequence for the multi-step monitoring process. | 1 / 3 |
Progressive Disclosure | References to external files (errors.md, examples.md) are present and one-level deep, but the main content is too sparse to serve as a useful overview. The skill delegates all substance to other files without providing a functional quick-start. | 2 / 3 |
Total | 6 / 12 Passed |
Activation
90%This is a solid skill description with excellent trigger term coverage and clear completeness. The main weakness is the somewhat generic action verbs (monitor, track) which could be more specific about what monitoring capabilities are actually provided. The description successfully carves out a distinct niche for Kling AI job management.
Suggestions
Add more specific concrete actions like 'check job completion status', 'list pending/completed jobs', 'view generation progress', or 'cancel queued jobs' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Kling AI video generation jobs) and some actions (monitor, track, managing), but lacks comprehensive specific actions like 'check completion status', 'list pending jobs', 'cancel jobs', or 'view job history'. | 2 / 3 |
Completeness | Clearly answers both what (monitor and track Kling AI video generation jobs) and when (managing multiple generations, building job dashboards) with explicit trigger phrases provided. | 3 / 3 |
Trigger Term Quality | Includes good coverage of natural trigger terms: 'klingai job status', 'track klingai jobs', 'kling ai monitoring', 'klingai job queue'. Covers variations of the product name and common user phrases for job management. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche targeting Kling AI job monitoring specifically. The explicit product name 'Kling AI' and focus on job tracking/monitoring creates clear distinction from general video generation or other AI service skills. | 3 / 3 |
Total | 11 / 12 Passed |
Reviewed
Table of Contents
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