videoagent-image-studio▌
pexoai/pexo-skills · updated Apr 8, 2026
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Unified access to 8 AI image generation models with automatic model selection and zero API key setup.
- ›Supports Midjourney, Flux (Pro/Dev/Schnell), Ideogram, Recraft, SDXL, and Nano Banana with automatic model routing based on user intent
- ›Handles Midjourney's async polling transparently; all models return consistent output format with image URLs
- ›Includes Midjourney actions (upscale, variation, reroll) and reference image support for style consistency
- ›All requests routed through hos
🎨 VideoAgent Image Studio
Use when: User asks to generate, draw, create, or make any kind of image, photo, illustration, icon, logo, or artwork.
Generate images with 8 state-of-the-art AI models. This skill automatically picks the best model for the job and handles all the complexity — including Midjourney's async polling — so you can focus on the conversation.
Quick Reference
| User Intent | Model | Speed |
|---|---|---|
| Artistic, cinematic, painterly | midjourney |
~15s |
| Photorealistic, portrait, product | flux-pro |
~8s |
| General purpose, balanced | flux-dev |
~10s |
| Quick draft, fast iteration | flux-schnell |
~2s |
| Image with text, logo, poster | ideogram |
~10s |
| Vector art, icon, flat design | recraft |
~8s |
| Anime, stylized illustration | sdxl |
~5s |
| Gemini-powered, consistent style | nano-banana |
~12s |
How to Generate an Image
Step 1 — Enhance the prompt
Before calling the script, expand the user's prompt with style, lighting, and quality descriptors appropriate for the chosen model.
- Midjourney: Add
cinematic lighting,ultra detailed,--v 7,--style raw - Flux: Add
masterpiece,highly detailed,sharp focus,professional photography - Ideogram: Be explicit about text content, font style, and layout
- Recraft: Specify
vector illustration,flat design,icon style
Step 2 — Run the script
node {baseDir}/tools/generate.js \
--model <model_id> \
--prompt "<enhanced prompt>" \
--aspect-ratio <ratio>
All parameters:
| Parameter | Default | Description |
|---|---|---|
--model |
flux-dev |
Model ID from the table above |
--prompt |
(required) | The image generation prompt |
--aspect-ratio |
1:1 |
1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 21:9 |
--num-images |
1 |
Number of images (1–4; Midjourney always returns 4) |
--negative-prompt |
— | Things to avoid (not supported by Midjourney) |
--seed |
— | Seed for reproducibility |
Step 3 — Return the result
The script always waits and returns the final image URL(s). No polling required.
{
"success": true,
"model": "flux-pro",
"imageUrl": "https://...",
"images": ["https://..."]
}
Send the imageUrl to the user.
Midjourney Actions
After generating a 4-image grid with Midjourney, offer the user these options:
# Upscale image #2 (subtle, preserves details)
node {baseDir}/tools/generate.js \
--model midjourney \
--action upscale \
--index 2 \
--job-id <job_id>
# Create a strong variation of image #3
node {baseDir}/tools/generate.js \
--model midjourney \
--action variation \
--index 3 \
--job-id <job_id> \
--variation-type 1
# Regenerate with same prompt
node {baseDir}/tools/generate.js \
--model midjourney \
--action reroll \
--job-id <job_id>
Upscale types: 0 = Subtle (default, best for photos), 1 = Creative (best for illustrations)
Variation types: 0 = Subtle (default), 1 = Strong (dramatic changes)
Example Conversations
User: "Draw a snow leopard on a snowy mountain with cinematic lighting"
# Choose midjourney for artistic quality
node {baseDir}/tools/generate.js \
--model midjourney \
--prompt "a majestic snow leopard on a snowy mountain peak, cinematic lighting, dramatic atmosphere, ultra detailed --ar 16:9 --v 7" \
--aspect-ratio 16:9
🎨 Done! Which one to upscale? (U1-U4) Or create a variant? (V1-V4)
User: "Use Flux to generate a perfume product poster, white background"
# Choose flux-pro for photorealistic product shots
node {baseDir}/tools/generate.js \
--model flux-pro \
--prompt "a luxury perfume bottle on a clean white background, professional product photography, soft shadows, 8k, highly detailed" \
--aspect-ratio 3:4
User: "Show me a quick draft"
# flux-schnell for instant previews
node {baseDir}/tools/generate.js \
--model flux-schnell \
--prompt "..." \
--aspect-ratio 1:1
User: "Make me an App icon, flat style, blue theme"
# recraft for vector/icon style
node {baseDir}/tools/generate.js \
--model recraft \
--prompt "a minimal flat design app icon, blue color scheme, simple geometric shapes, vector style, white background"
Setup
Zero API keys needed! All requests go through a hosted proxy that handles authentication server-side.
The skill works out of the box — just install and use.
Advanced: Custom proxy or token
If you want to use your own proxy or a persistent token, set these environment variables:
{
"skills": {
"entries": {
"videoagent-image-studio": {
"enabled": true,
"env": {
"IMAGE_STUDIO_PROXY_URL": "https://your-proxy.vercel.app",
"IMAGE_STUDIO_TOKEN": "your_token_here"
}
}
}
}
}
| Variable | Required | Description |
|---|---|---|
IMAGE_STUDIO_PROXY_URL |
No | Custom proxy base URL (default: https://image-gen-proxy.vercel.app) |
IMAGE_STUDIO_TOKEN |
No | Persistent token (auto-obtained if not set, 100 free uses per token) |
To deploy your own proxy, see the videoagent-audio-studio proxy as a reference implementation. You'll need FAL_KEY and LEGNEXT_KEY as Vercel environment variables.
Changelog
v2.0.0
- Simplified async: The script now blocks until Midjourney completes. No more
--async/--pollflags needed in SKILL.md instructions. - Unified output format: All models return the same
{ success, imageUrl, images }shape. - Reference images for Nano Banana: Pass
--reference-images "url1,url2"for character/style consistency across generations.
v1.3.0
- Added non-blocking async mode for Midjourney (
--async+--poll).
v1.2.0
- Midjourney turbo mode enabled by default (~10-20s).
v1.1.0
- Switched Midjourney provider from TTAPI to Legnext.ai for better stability.
v1.0.0
- Initial release with Midjourney, Flux, SDXL, Nano Banana, Ideogram, Recraft.
How to use videoagent-image-studio on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add videoagent-image-studio
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches videoagent-image-studio from GitHub repository pexoai/pexo-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate videoagent-image-studio. Access the skill through slash commands (e.g., /videoagent-image-studio) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★43 reviews- ★★★★★Sofia Patel· Dec 24, 2024
videoagent-image-studio fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Jin Singh· Dec 16, 2024
videoagent-image-studio is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 12, 2024
videoagent-image-studio is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Aisha Khan· Dec 12, 2024
Useful defaults in videoagent-image-studio — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sofia Park· Nov 15, 2024
We added videoagent-image-studio from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Alexander White· Nov 15, 2024
videoagent-image-studio reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Charlotte Jain· Nov 7, 2024
Keeps context tight: videoagent-image-studio is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Oshnikdeep· Nov 3, 2024
Keeps context tight: videoagent-image-studio is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aanya Kim· Nov 3, 2024
videoagent-image-studio has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ganesh Mohane· Oct 22, 2024
videoagent-image-studio has been reliable in day-to-day use. Documentation quality is above average for community skills.
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