Source profileQuality 74/100Review permissions

github/awesome-copilot/skills/transloadit-media-processing/SKILL.md

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.

Source repository stars
37,126
Declared platforms
0
Static risk flags
2
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

Process, transform, and encode media files using Transloadit's cloud infrastructure. Supports video, audio, images, and documents with 86+ specialized processing robots.

Best for

  • Encode video to HLS, MP4, WebM, or other formats
  • Generate thumbnails or animated GIFs from video
  • Resize, crop, watermark, or optimize images

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/github/awesome-copilot --skill "skills/transloadit-media-processing"
Safe inspection promptEditorial

Inspect the Agent Skill "transloadit-media-processing" from https://github.com/github/awesome-copilot/blob/9933dcad5be5caeb288cebcd370eeeb2fc2f1685/skills/transloadit-media-processing/SKILL.md at commit 9933dcad5be5caeb288cebcd370eeeb2fc2f1685. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Setup

    Add the Transloadit MCP server to your IDE config. This gives the agent direct access to Transloadit tools (createtemplate, createassembly, listassemblynotifications, etc.).

    Add the Transloadit MCP server to your IDE config. This gives the agent direct access to Transloadit tools (createtemplate, createassembly, listassemblynotifications, etc.).VS Code / GitHub Copilot (.vscode/mcp.json or user settings):Get your API credentials at https://transloadit.com/c/-/api-credentials
  2. 02

    Multi-Step Pipelines

    Steps can be chained using the "use" field. Each step references a previous step's output:

    Steps can be chained using the "use" field. Each step references a previous step's output:
  3. 03

    When to Use This Skill

    Use this skill when you need to:

    Encode video to HLS, MP4, WebM, or other formatsGenerate thumbnails or animated GIFs from videoResize, crop, watermark, or optimize images
  4. 04

    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 (createtemplate, createassembly, listassemblynotifications, etc.).

    Add the Transloadit MCP server to your IDE config. This gives the agent direct access to Transloadit tools (createtemplate, createassembly, listassemblynotifications, etc.).VS Code / GitHub Copilot (.vscode/mcp.json or user settings):Get your API credentials at https://transloadit.com/c/-/api-credentials
  5. 05

    Option B: CLI

    If you prefer running commands directly:

    If you prefer running commands directly:

Permission review

Static risk signals and limitations

Runs scripts

medium · line 53

The documentation asks the agent to run terminal commands or scripts.

npx -y @transloadit/node assemblies create \

Network access

medium · line 106

The documentation includes network, browsing, or remote request actions.

"watermark_url": "https://example.com/logo.png",

Network access

medium · line 136

The documentation includes network, browsing, or remote request actions.

"url": ["https://example.com/clip1.mp3", "https://example.com/clip2.mp3"]

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score74/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars37,126SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
github/awesome-copilot
Skill path
skills/transloadit-media-processing/SKILL.md
Commit
9933dcad5be5caeb288cebcd370eeeb2fc2f1685
License
MIT
Collected
2026-07-28
Default branch
main
View the original SKILL.md

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) 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.