ai-content-pipeline
Build multi-step AI content creation pipelines combining image, video, audio, and text. Workflow examples: generate image -> animate -> add voiceover -> merge with music. Tools: FLUX, Veo, Kokoro TTS, OmniHuman, media merger, upscaling. Use for: YouTube videos, social media content, marketing materials, automated content. Triggers: content pipeline, ai workflow, content creation, multi-step ai, content automation, ai video workflow, generate and edit, ai content factory, automated content creation, ai production pipeline, media pipeline, content at scale
93
93%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Critical
Do not install without reviewing
Quality
Discovery
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.
This is a strong skill description that excels across all dimensions. It provides specific concrete actions with workflow examples, names actual tools, clearly defines use cases (YouTube, social media, marketing), and includes comprehensive trigger terms. The multi-step pipeline focus creates clear distinctiveness from single-purpose media tools.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'generate image -> animate -> add voiceover -> merge with music' and names specific tools (FLUX, Veo, Kokoro TTS, OmniHuman, media merger, upscaling). Provides clear workflow examples. | 3 / 3 |
Completeness | Clearly answers both what (build multi-step AI content creation pipelines with specific tools and workflow examples) and when (explicit 'Use for:' and 'Triggers:' sections listing specific use cases and trigger terms). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'content pipeline', 'ai workflow', 'content creation', 'YouTube videos', 'social media content', 'marketing materials', 'automated content creation'. Includes both casual and technical variations. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focusing on multi-step AI content pipelines combining multiple media types. The specific tool names (FLUX, Veo, Kokoro TTS, OmniHuman) and workflow pattern (generate -> animate -> voiceover -> merge) create a distinct identity unlikely to conflict with single-purpose media skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, actionable skill that provides comprehensive pipeline examples with executable code. The content is well-organized with clear patterns and building blocks. The main weakness is the lack of validation checkpoints in multi-step workflows - given that these are chained operations where failures can cascade, explicit verification steps would improve reliability.
Suggestions
Add validation checkpoints after each pipeline step (e.g., 'Verify the JSON output contains a valid URL before proceeding')
Include error handling guidance for common failure modes (e.g., 'If image generation fails with rate limit, wait 30s and retry')
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient, jumping straight into actionable content without explaining what AI content pipelines are or how CLI tools work. Every section serves a purpose with no padding or unnecessary context. | 3 / 3 |
Actionability | Provides fully executable bash commands throughout with complete JSON input structures. All examples are copy-paste ready with clear placeholders for dynamic values like '<url-from-previous>'. | 3 / 3 |
Workflow Clarity | Steps are clearly sequenced with numbered workflows and visual pipeline diagrams. However, there are no validation checkpoints or error recovery steps - if a step fails (e.g., image generation returns error), there's no guidance on verification or retry. | 2 / 3 |
Progressive Disclosure | Well-organized with quick start, multiple workflow patterns, building blocks reference table, and links to related skills and documentation. Content is appropriately structured with clear navigation between sections. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
Total | 10 / 11 Passed | |
- Repository
- inference-sh/skills
- Commit
9a723cd
- Reviewed
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