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vertex-ai-media-master（Vertex AI 媒体大师）

Agent Skill

vertex-ai-media-master 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息，适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

总安装

737

周安装

GitHub Stars

2,109

下载量

258

CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：vertex-ai-media-master（Vertex AI 媒体大师）
来源仓库：https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径：skills/vertex-ai-media-master
安装命令：
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill vertex-ai-media-master
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异；本站展示可直接复制的安装命令，安装前请核对来源页面。

skills.shnpx skills

npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill vertex-ai-media-master

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
通过 npx skills add 命令从指定 GitHub 仓库安装使用。
安装前建议确认权限范围、维护状态，以及是否会触发联网或文件读写操作。
vertex-ai-media-master 属于AI 工具类 Skill，可作为该场景下的辅助能力补充。

SKILL.md

Vertex AI Media Master

Overview

Multimodal media operations on Google Cloud Vertex AI covering video understanding, audio generation, image creation, and marketing campaign automation. This skill orchestrates Gemini 2.5 Pro/Flash, Imagen 4, and Lyria models to process, analyze, and generate rich media assets.

Prerequisites

Google Cloud project with Vertex AI API enabled
google-cloud-aiplatform Python SDK installed (pip install google-cloud-aiplatform[vision,audio])
GOOGLE_CLOUD_PROJECT and GOOGLE_APPLICATION_CREDENTIALS environment variables set
Service account with roles/aiplatform.user permission
Sufficient quota for target models (Gemini 2.5 Pro: 2M tokens/min; Imagen 4: 100 images/min)

Instructions

Initialize the Vertex AI client with the target project and region (us-central1 recommended for model availability).
Select the appropriate model for the task:

- Video analysis: Gemini 2.5 Pro (up to 6 hours at low resolution, 2 hours at default). - Image generation: Imagen 4 for highest quality stills; Gemini 2.5 Flash Image for interleaved text+image output. - Audio generation: Lyria for music composition and background tracks. - Campaign automation: Gemini 2.5 Pro for multi-asset generation from a single prompt.

Prepare input media: upload source files to Cloud Storage (gs:// URIs) or provide local paths for smaller assets.
Construct the generation request with explicit parameters (aspect ratio, duration, number of outputs, style constraints).
Execute the request and capture response objects containing generated media bytes or analysis text.
Post-process outputs: save generated images/audio to the target directory, extract structured insights from video analysis, or compile campaign asset bundles.
Validate results against brand guidelines or schema expectations before delivery.

Output

Generated image files (PNG/JPEG) from Imagen 4 or Gemini Flash Image
Audio files (WAV/MP3) from Lyria model for background music, voiceovers, or sound effects
Video analysis reports: scene breakdowns, key-moment timestamps, transcript text, marketing-insight summaries
Campaign asset packages: hero images, social media graphics, ad copy, email marketing text, and video scripts
Structured JSON metadata for each generated asset (model used, prompt, parameters, cost estimate)

Error Handling

Error	Cause	Solution
`PermissionDenied` on Vertex AI API	Service account lacks `aiplatform.user` role	Grant the required IAM role to the service account
`ResourceExhausted` / quota exceeded	Too many concurrent requests or token limit hit	Implement request batching; switch to Gemini 2.5 Flash for lower-cost operations
`InvalidArgument` on image generation	Prompt violates safety filters or unsupported aspect ratio	Revise the prompt to remove restricted content; use a supported aspect ratio (1:1, 16:9, 9:16)
Video processing timeout	Source video exceeds duration or resolution limits	Use low-resolution mode for videos over 2 hours; split longer videos into segments
Audio generation returns empty	Prompt too vague or duration parameter missing	Specify genre, tempo, mood, and an explicit duration in seconds
`NotFound` on model ID	Incorrect model name or model not available in region	Verify the model ID against current Vertex AI documentation; try `us-central1`

Examples

Example 1: Analyze a competitor video ad

Input: A 60-second competitor video uploaded to gs://bucket/competitor-ad.mp4.
Action: Send to Gemini 2.5 Pro with the prompt "Extract messaging themes, calls to action, visual style, and production techniques."
Output: Structured analysis with timestamps for key scenes, identified CTAs, and a competitive positioning summary.

Example 2: Generate campaign assets from a product brief

Input: Text brief describing a new product launch with target audience and brand guidelines.
Action: Use Imagen 4 to generate 4 hero image variations, Lyria for a 30-second background track, and Gemini 2.5 Pro for ad copy in 3 languages.
Output: Directory containing hero images, audio file, and a campaign-copy document organized by language.

Example 3: Repurpose a long-form video into short-form clips

Input: A 10-minute product demo video.
Action: Gemini 2.5 Pro identifies the three most engaging 15-second segments with scene-boundary timestamps.
Output: Timestamp list with suggested captions for TikTok/Reels, plus a storyboard summary for each clip.

Resources

Detailed model capabilities and code patterns: ${CLAUDE_SKILL_DIR}/references/core-capabilities.md
Vertex AI Multimodal overview: https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/overview
Imagen documentation: https://cloud.google.com/vertex-ai/generative-ai/docs/image/overview
Video understanding guide: https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/video-understanding
GenAI for Marketing reference repo: https://github.com/GoogleCloudPlatform/genai-for-marketing

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能力 2

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能力 3

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能力 4

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

Antigravity

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安全审计

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置，应进入高风险复核队列，默认不自动发布。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果，不能写成本站确认安全。

来源信息

GitHub 仓库

github.com

/jeremylongshore/claude-code-plugins-plus-skills

SKILL.md 来源

github.com

/jeremylongshore/claude-code-plugins-plus-skills/tree/main/skills/vertex-ai-media-master

skills-sh

skills.sh

/jeremylongshore/claude-code-plugins-plus-skills/vertex-ai-media-master

agentskills-to

agentskills.to

/jeremylongshore/claude-code-plugins-plus-skills/vertex-ai-media-master

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