video-integration-specialist

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. Trigger em: "text-to-video", "image-to-video", "video generativo", "avatar video", "motion explainer", "clip promocional", "gerar video", "fal video", "Sora", "Veo", "Runway video", "video AI".

Quality

85%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

70%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is token-efficient and lays out a well-sequenced async video workflow with clear checkpoints, but it leans on prose over executable code and, critically, cites an extensive external file/policy/skill graph that is not bundled here. This breaks progressive disclosure and weakens actionability.

Suggestions

Bundle the referenced patterns/ai-integration/*.md (video-generation, prompt-patterns, cost-efficiency, security) and policies/*.md files, or replace the citations with inline essential guidance so navigation targets are real and one level deep.

Add at least one executable adapter snippet (e.g., a fal.ai submit + poll/webhook call with job_id persistence and idempotency handling) to lift actionability from prose spec to copy-paste ready code.

Move the extensive cross-skill handoff and governance file list into a single short pointer, since the current inline enumeration pulls in dependencies the skill cannot resolve on its own.

Dimension	Reasoning	Score
Conciseness	Dense, high-signal prose that assumes Claude's competence — comparison tables, decision bullets, and an anti-patterns list with no filler or explanation of basic video concepts.	3 / 3
Actionability	Provides concrete decisions (webhook over polling, move to own storage, dedupe by job_id) and a structured prompt template, but the reference flow is a numbered prose spec rather than executable code, and the cited pattern files do not exist in the bundle.	2 / 3
Workflow Clarity	The seven-step submit -> poll/webhook -> storage -> notify flow is explicitly sequenced with validation checkpoints (cost confirmation, idempotency dedupe, dead-job TTL) and a feedback path for failures.	3 / 3
Progressive Disclosure	No references/, scripts/, or assets/ bundle exists, yet the body repeatedly points to patterns/ai-integration/.md, policies/.md, templates, and other numbered skills, so the navigation targets are missing and unverifiable.	1 / 3
	Total	9 / 12 Passed

Description

100%Weight 40%Scale 1-3

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 concise yet complete, naming concrete capabilities, a natural trigger term list, and clear 'use when' guidance in third person. It carves a distinct niche around generative video with low conflict risk.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions across distinct generation modalities: 'text-to-video, image-to-video, clips promocionais, avatar video, motion explainers', going beyond a single vague capability.	3 / 3
Completeness	Explicitly answers 'what' (integrate generation and manipulation of video) and 'when' via the explicit 'Trigger em:' / 'Use quando o app precisar de' clauses.	3 / 3
Trigger Term Quality	Broad coverage of natural user phrasings including 'text-to-video', 'image-to-video', 'avatar video', 'gerar video', 'fal video', 'Sora', 'Veo', 'Runway video', and 'video AI'.	3 / 3
Distinctiveness Conflict Risk	Scoped narrowly to generative video flows with provider-specific triggers (Sora, Veo, Runway, fal), making it unlikely to fire for adjacent image or media-editing skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: felvieira/claude-skills-fv
Path: skills/27-video-integration-specialist/SKILL.md
Commit: 030ef22

Reviewed: 8 days ago

Table of Contents

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