Skill para integrar geracao e manipulacao de video em aplicacoes. Use quando o app precisar de text-to-video, image-to-video, clips promocionais, avatar video, motion explainers ou outros fluxos de video generativo.
65
Quality
56%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/27-video-integration-specialist/SKILL.mdQuality
Discovery
89%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 solid skill description that clearly defines its video generation domain and includes an explicit 'Use quando' clause with multiple trigger scenarios. The main weakness is that the capabilities could be more concrete (e.g., specifying exact actions like 'generate 30-second clips' or 'animate static images') rather than listing feature categories. The description uses appropriate third-person voice.
Suggestions
Replace feature categories with more concrete actions (e.g., 'gera videos a partir de texto ou imagens, cria clips promocionais de 30 segundos, anima avatares falantes')
Add file format triggers like '.mp4', '.mov', or 'video file' to improve keyword coverage
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (video generation/manipulation) and lists several actions (text-to-video, image-to-video, clips promocionais, avatar video, motion explainers), but these are more like feature categories than concrete specific actions like 'extract', 'fill', 'merge'. | 2 / 3 |
Completeness | Clearly answers both what ('integrar geracao e manipulacao de video em aplicacoes') and when ('Use quando o app precisar de text-to-video, image-to-video, clips promocionais, avatar video, motion explainers ou outros fluxos de video generativo') with explicit 'Use quando' clause. | 3 / 3 |
Trigger Term Quality | Includes good natural trigger terms users would say: 'text-to-video', 'image-to-video', 'clips promocionais', 'avatar video', 'motion explainers', 'video generativo'. These cover multiple variations of how users might request video generation features. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on generative video workflows with distinct triggers like 'text-to-video', 'image-to-video', 'avatar video'. Unlikely to conflict with other skills as video generation is a specific domain. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
22%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill functions more as a routing document than an actionable guide. It correctly identifies when to use video integration and references appropriate external resources, but provides no concrete implementation details, code examples, or step-by-step workflows. Claude would need to consult multiple external files to perform any actual work.
Suggestions
Add a concrete code example showing basic video generation API integration (e.g., adapter pattern with a specific provider like Runway or Pika)
Include a numbered workflow with validation steps: 1) validate input, 2) submit to provider, 3) poll for status, 4) handle failures, 5) deliver output
Provide at least one 'cinematographic prompt' example showing the expected format and structure
Add a quick-start section with minimal working code before referencing external pattern files
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is relatively brief but includes some redundant sections (Quando Usar/Quando Nao Usar could be tighter) and relies heavily on external references without providing immediate actionable content. The governance section adds overhead without direct value. | 2 / 3 |
Actionability | No concrete code, commands, or executable examples provided. The skill describes what to do conceptually ('definir status, processamento, custo') but lacks specific implementation guidance, API calls, or copy-paste ready patterns. | 1 / 3 |
Workflow Clarity | No clear sequence of steps for video integration. Lists inputs/outputs but doesn't explain the actual workflow, validation checkpoints, or how to handle failures in video generation pipelines. | 1 / 3 |
Progressive Disclosure | References external files appropriately (patterns/ai-integration/*.md, policies/*.md) with one-level-deep structure, but the skill itself provides almost no substantive content - it's essentially just a pointer to other documents without a useful quick-start overview. | 2 / 3 |
Total | 6 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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Table of Contents
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