PaperclipOrg
Claude Agent Skill · by Github

Transloadit Media Processing

A solid integration for Transloadit's media processing API that handles the tedious parts of video encoding, image resizing, and document OCR. Sets up the MCP s

Install
Terminal · npx
$npx skills add https://github.com/github/awesome-copilot --skill transloadit-media-processing
Works with Paperclip

How Transloadit Media Processing fits into a Paperclip company.

Transloadit Media Processing drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

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SaaS FactoryPaired

Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

$27$59
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Source file
SKILL.md194 lines
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---name: transloadit-media-processingdescription: '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.'license: MITcompatibility: Requires a free Transloadit account (https://transloadit.com/signup). Uses the @transloadit/mcp-server MCP server or the @transloadit/node CLI.--- # 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 accessto 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: ```bashnpx -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.