transloadit-media-processing
Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.
How do I install this agent skill?
npx skills add https://github.com/github/awesome-copilot --skill transloadit-media-processingIs this agent skill safe to install?
- Gen Agent Trust Hubwarn
The skill facilitates media processing via the Transloadit API. It relies on downloading and executing Node.js packages (@transloadit/mcp-server and @transloadit/node) at runtime using npx. Since the provider is not on the predefined trusted list, this is flagged as an unverifiable dependency risk. It also handles API credentials through environment variables.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · No issues
- Runlayerwarn
1/1 file flagged
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
Transloadit Media Processing
Process, transform, and encode media files using Transloadit's cloud infrastructure. Supports video, audio, images, and documents with 86+ specialized processing robots.
When to Use This Skill
Use this skill when you need to:
- Encode video to HLS, MP4, WebM, or other formats
- Generate thumbnails or animated GIFs from video
- Resize, crop, watermark, or optimize images
- Convert between image formats (JPEG, PNG, WebP, AVIF, HEIF)
- Extract or transcode audio (MP3, AAC, FLAC, WAV)
- Concatenate video or audio clips
- Add subtitles or overlay text on video
- OCR documents (PDF, scanned images)
- Run speech-to-text or text-to-speech
- Apply AI-based content moderation or object detection
- Build multi-step media pipelines that chain operations together
Setup
Option A: MCP Server (recommended for Copilot)
Add the Transloadit MCP server to your IDE config. This gives the agent direct access
to Transloadit tools (create_template, create_assembly, list_assembly_notifications, etc.).
VS Code / GitHub Copilot (.vscode/mcp.json or user settings):
{
"servers": {
"transloadit": {
"command": "npx",
"args": ["-y", "@transloadit/mcp-server", "stdio"],
"env": {
"TRANSLOADIT_KEY": "YOUR_AUTH_KEY",
"TRANSLOADIT_SECRET": "YOUR_AUTH_SECRET"
}
}
}
}
Get your API credentials at https://transloadit.com/c/-/api-credentials
Option B: CLI
If you prefer running commands directly:
npx -y @transloadit/node assemblies create \
--steps '{"encoded": {"robot": "/video/encode", "use": ":original", "preset": "hls-1080p"}}' \
--wait \
--input ./my-video.mp4
Core Workflows
Encode Video to HLS (Adaptive Streaming)
{
"steps": {
"encoded": {
"robot": "/video/encode",
"use": ":original",
"preset": "hls-1080p"
}
}
}
Generate Thumbnails from Video
{
"steps": {
"thumbnails": {
"robot": "/video/thumbs",
"use": ":original",
"count": 8,
"width": 320,
"height": 240
}
}
}
Resize and Watermark Images
{
"steps": {
"resized": {
"robot": "/image/resize",
"use": ":original",
"width": 1200,
"height": 800,
"resize_strategy": "fit"
},
"watermarked": {
"robot": "/image/resize",
"use": "resized",
"watermark_url": "https://example.com/logo.png",
"watermark_position": "bottom-right",
"watermark_size": "15%"
}
}
}
OCR a Document
{
"steps": {
"recognized": {
"robot": "/document/ocr",
"use": ":original",
"provider": "aws",
"format": "text"
}
}
}
Concatenate Audio Clips
{
"steps": {
"imported": {
"robot": "/http/import",
"url": ["https://example.com/clip1.mp3", "https://example.com/clip2.mp3"]
},
"concatenated": {
"robot": "/audio/concat",
"use": "imported",
"preset": "mp3"
}
}
}
Multi-Step Pipelines
Steps can be chained using the "use" field. Each step references a previous step's output:
{
"steps": {
"resized": {
"robot": "/image/resize",
"use": ":original",
"width": 1920
},
"optimized": {
"robot": "/image/optimize",
"use": "resized"
},
"exported": {
"robot": "/s3/store",
"use": "optimized",
"bucket": "my-bucket",
"path": "processed/${file.name}"
}
}
}
Key Concepts
- Assembly: A single processing job. Created via
create_assembly(MCP) orassemblies create(CLI). - Template: A reusable set of steps stored on Transloadit. Created via
create_template(MCP) ortemplates create(CLI). - Robot: A processing unit (e.g.,
/video/encode,/image/resize). See full list at https://transloadit.com/docs/transcoding/ - Steps: JSON object defining the pipeline. Each key is a step name, each value configures a robot.
:original: Refers to the uploaded input file.
Tips
- Use
--waitwith the CLI to block until processing completes. - Use
presetvalues (e.g.,"hls-1080p","mp3","webp") for common format targets instead of specifying every parameter. - Chain
"use": "step_name"to build multi-step pipelines without intermediate downloads. - For batch processing, use
/http/importto pull files from URLs, S3, GCS, Azure, FTP, or Dropbox. - Templates can include
${variables}for dynamic values passed at assembly creation time.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/github/awesome-copilot/transloadit-media-processing">View transloadit-media-processing on skillZs</a>