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.
What this skill does
# 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):
```json
{
"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:
```bash
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)
```json
{
"steps": {
"encoded": {
"robot": "/video/encode",
"use": ":original",
"preset": "hls-1080p"
}
}
}
```
### Generate Thumbnails from Video
```json
{
"steps": {
"thumbnails": {
"robot": "/video/thumbs",
"use": ":original",
"count": 8,
"width": 320,
"height": 240
}
}
}
```
### Resize and Watermark Images
```json
{
"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
```json
{
"steps": {
"recognized": {
"robot": "/document/ocr",
"use": ":original",
"provider": "aws",
"format": "text"
}
}
}
```
### Concatenate Audio Clips
```json
{
"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:
```json
{
"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/${file.name}"
}
}
}
```
## Key Concepts
- **Assembly**: A single processing job. Created via `create_assembly` (MCP) or `assemblies create` (CLI).
- **Template**: A reusable set of steps stored on Transloadit. Created via `create_template` (MCP) or `templates create` (CLI).
- **Robot**: A processing unit (e.g., `/video/encode`, `/image/resize`). See full list at https://transloadit.com/docs/transcoding/
- **Steps**: JSON object defining the pipeline. Each key is a step name, each value configures a robot.
- **`:original`**: Refers to the uploaded input file.
## Tips
- Use `--wait` with the CLI to block until processing completes.
- Use `preset` values (e.g., `"hls-1080p"`, `"mp3"`, `"webp"`) for common format targets instead of specifying every parameter.
- Chain `"use": "step_name"` to build multi-step pipelines without intermediate downloads.
- For batch processing, use `/http/import` to pull files from URLs, S3, GCS, Azure, FTP, or Dropbox.
- Templates can include `${variables}` for dynamic values passed at assembly creation time.
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.