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Execute automatic activation for all google vertex ai multimodal operations operations.
Install Vertex AI Media Master
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-ai-media-master --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/vertex-ai-media-master .claude/skills/vertex-ai-media-master && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "vertex-ai-media-master" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-ai-media-master into .claude/skills/vertex-ai-media-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai-media-master", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-ai-media-masterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-ai-media-master --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/vertex-ai-media-master .agents/skills/vertex-ai-media-master && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vertex-ai-media-master" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-ai-media-master into .agents/skills/vertex-ai-media-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai-media-master", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-ai-media-master --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/vertex-ai-media-master .cursor/skills/vertex-ai-media-master && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vertex-ai-media-master" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-ai-media-master into .cursor/skills/vertex-ai-media-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai-media-master", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/vertex-ai-media-master--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-ai-media-master --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/vertex-ai-media-master .gemini/skills/vertex-ai-media-master && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vertex-ai-media-master" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-ai-media-master into .gemini/skills/vertex-ai-media-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai-media-master", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-ai-media-masterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/vertex-ai-media-master .github/skills/vertex-ai-media-master && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vertex-ai-media-master" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-ai-media-master into .github/skills/vertex-ai-media-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai-media-master", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-ai-media-master --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/vertex-ai-media-master .opencode/skills/vertex-ai-media-master && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vertex-ai-media-master" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-ai-media-master into .opencode/skills/vertex-ai-media-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-ai-media-master", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
vertex-ai-media-master- GitHub stars
- 2.8k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 635 words
- Files
- 7 (incl. scripts, references, assets)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Execute automatic activation for all google vertex ai multimodal operations operations.
- Works in 7 steps: Initialize the Vertex AI client with the… → Select the appropriate model for the task → Prepare input media: upload source files… → …
- Appropriate context detected
- SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
- Calls pip; needs GOOGLE_APPLICATION_CREDENTIALS
What it does
Vertex AI Media Master is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute automatic activation for all google vertex ai multimodal operations operations. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `references/core-capabilities.md`). Compatibility notes: Designed for Claude Code
It sits in Media & Creative. It works with Vertex AI and Google Cloud. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Appropriate context detected
- With relevant phrases based on skill purpose
Example prompts
- “/vertex-ai-media-master”
Requirements
- Python 3
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(general:*), Bash(util:*)
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Initialize the Vertex AI client with the target project and region (us-central1 recommended for model availability).
- Select the appropriate model for the task
- 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…
- Validate results against brand guidelines or schema expectations before delivery.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobBash(general:*)Bash(util:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
cloud.google.comgithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GOOGLE_APPLICATION_CREDENTIALS
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Vertex AI Media Master loads about 1.4k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 635 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 635 words, ~1,403 tokens.
Download SKILL.mdSave it as
.claude/skills/vertex-ai-media-master/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- vertex-ai-media-master
- description
- Execute automatic activation for all google vertex ai multimodal operations operations. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
- allowed-tools
- Read, Write, Edit, Grep, Glob, Bash(general:*), Bash(util:*)
- compatibility
- Designed for Claude Code
- version
- 2.25.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- tags
- productivity, vertex-ai
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-aiplatformPython SDK installed (pip install google-cloud-aiplatform[vision,audio])GOOGLE_CLOUD_PROJECTandGOOGLE_APPLICATION_CREDENTIALSenvironment variables set- Service account with
roles/aiplatform.userpermission - 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-central1recommended 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 |
Show full SKILL.md (184 more words)Show less
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
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references, assets) in skills/.curated/vertex-ai-media-master of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- assets/README.md
- references/README.md
- references/core-capabilities.md
- references/errors.md
- references/examples.md
- scripts/README.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Vertex AI Media Master next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vertex AI Media Master this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Kiln Check Finetune DeprecationKiln-AI/Kiln | 5.2k | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Quality FlywheelGoogleCloudPlatform/vertex-ai-samples | 792 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Google Agents CLI Scaffoldpifferologo/cloud-agents-cli | 129 | 1 repos | ~2.9k | Automated safety check: Notes | Apache-2.0 | |
| Liveapi ServiceGoogleCloudPlatform/vertex-ai-samples | 792 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Vertex AIGoogleCloudPlatform/vertex-ai-samples | 792 | — | ~522 | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Vertex AI Media Master
What does Vertex AI Media Master do?
Execute automatic activation for all google vertex ai multimodal operations operations. Vertex AI Media Master is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute automatic activation for all google vertex ai multimodal operations operations.
When should I use Vertex AI Media Master?
Vertex AI Media Master fits situations like: appropriate context detected; with relevant phrases based on skill purpose.
How do I install Vertex AI Media Master in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a claude-code`. Or copy the skill folder (skills/.curated/vertex-ai-media-master in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vertex-ai-media-master in your project. Claude Code loads it when a task matches its description.
How do I install Vertex AI Media Master in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a codex`. Or copy the skill folder (skills/.curated/vertex-ai-media-master in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vertex-ai-media-master in your project. Codex loads it when a task matches its description.
Can I use Vertex AI Media Master in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-ai-media-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vertex-ai-media-master, .gemini/skills/vertex-ai-media-master, .github/skills/vertex-ai-media-master and .opencode/skills/vertex-ai-media-master in your project.
What does Vertex AI Media Master need to run?
Going by SKILL.md and its folder, Vertex AI Media Master needs the command-line tools its instructions call (pip) and credentials named GOOGLE_APPLICATION_CREDENTIALS. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(general:*), Bash(util:*). Compatibility (from SKILL.md): Designed for Claude Code.
Does Vertex AI Media Master access the network?
SKILL.md names 2 domains. As links in the text: cloud.google.com and github.com. This is read from the text; nothing was executed.
Is Vertex AI Media Master safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Vertex AI Media Master use?
Vertex AI Media Master is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Vertex AI Media Master use?
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.
What are the alternatives to Vertex AI Media Master?
Skills that share tags, products or a category with Vertex AI Media Master: Kiln Check Finetune Deprecation (Kiln-AI/Kiln, 5.2k stars), Quality Flywheel (GoogleCloudPlatform/vertex-ai-samples, 792 stars), Google Agents CLI Scaffold (pifferologo/cloud-agents-cli, 129 stars) and Liveapi Service (GoogleCloudPlatform/vertex-ai-samples, 792 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vertex AI Media Master?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.