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Official agent skill

Transloadit Media Processing

by github in github/awesome-copilot

Process media files (video, audio, images, documents) using Transloadit.

OfficialMITAuto-check passedMedia & Creative

Install Transloadit Media Processing

skills CLI
$ npx skills add github/awesome-copilot --skill transloadit-media-processing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot transloadit-media-processing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/transloadit-media-processing .claude/skills/transloadit-media-processing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
transloadit-media-processing
GitHub stars
40k
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
336 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Process media files (video, audio, images, documents) using Transloadit.

  • Asked to encode video to HLS/MP4
  • SKILL.md covers When to Use This Skill, Setup, Core Workflows and Multi-Step Pipelines, plus 2 more sections
  • Calls npx; needs TRANSLOADIT_KEY and TRANSLOADIT_SECRET
  • Generate thumbnails

What it does

Transloadit Media Processing is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. 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.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires a free Transloadit account (https://transloadit.com/signup). Uses the @transloadit/mcp-server MCP server or the @transloadit/node CLI.

It sits in Media & Creative, covering Transcription. It works with Model Context Protocol. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Asked to encode video to HLS/MP4
  • Generate thumbnails
  • Watermark images
  • Concatenate clips

Example prompts

  • “/transloadit-media-processing”

Requirements

  • Node.js
  • A credential in TRANSLOADIT_KEY
  • A credential in YOUR_AUTH_KEY
  • Compatibility (from SKILL.md): Requires a free Transloadit account (https://transloadit.com/signup). Uses the @transloadit/mcp-server MCP server or the @transloadit/node CLI.

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • transloadit.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TRANSLOADIT_KEY
    • TRANSLOADIT_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires a free Transloadit account (https://transloadit.com/signup). Uses the @transloadit/mcp-server MCP server or the @transloadit/node CLI.

    From compatibility in the SKILL.md frontmatter.

Context cost

Transloadit Media Processing loads about 1.3k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 336 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 336 words, ~1,281 tokens.

Download SKILL.mdSave it as .claude/skills/transloadit-media-processing/SKILL.md (or your agent's skills folder).
name
transloadit-media-processing
description
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.
compatibility
Requires a free Transloadit account (https://transloadit.com/signup). Uses the @transloadit/mcp-server MCP server or the @transloadit/node CLI.
license
MIT

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

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.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

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

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Transloadit Media Processing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Transloadit Media Processing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Transloadit Media Processing this skillgithub/awesome-copilot40k1 repos~1.3kAutomated safety check: PassMIT
Resolve Audiosamuelgursky/davinci-resolve-mcp3.4k—~1.3kAutomated safety check: PassMIT
Premiere Captionsayushozha/AdobePremiereProMCP116—~724Automated safety check: PassMIT
Proofreadsonilo-ai/skills115—~4.3kAutomated safety check: NotesMIT
Scenario Caption Studioscenario-labs/skills898—~3.2kAutomated safety check: PassMIT
Scenario Video Assemblyscenario-labs/skills898—~2.2kAutomated safety check: PassMIT

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Works with

Categories

Questions about Transloadit Media Processing

What does Transloadit Media Processing do?

Process media files (video, audio, images, documents) using Transloadit. Transloadit Media Processing is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Process media files (video, audio, images, documents) using Transloadit.

When should I use Transloadit Media Processing?

Transloadit Media Processing fits situations like: asked to encode video to HLS/MP4; generate thumbnails; watermark images; concatenate clips.

How do I install Transloadit Media Processing in Claude Code?

Run `npx skills add github/awesome-copilot --skill transloadit-media-processing -a claude-code`. Or copy the skill folder (skills/transloadit-media-processing in github/awesome-copilot) into .claude/skills/transloadit-media-processing in your project. Claude Code loads it when a task matches its description.

How do I install Transloadit Media Processing in Codex?

Run `npx skills add github/awesome-copilot --skill transloadit-media-processing -a codex`. Or copy the skill folder (skills/transloadit-media-processing in github/awesome-copilot) into .agents/skills/transloadit-media-processing in your project. Codex loads it when a task matches its description.

Can I use Transloadit Media Processing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill transloadit-media-processing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/transloadit-media-processing, .gemini/skills/transloadit-media-processing, .github/skills/transloadit-media-processing and .opencode/skills/transloadit-media-processing in your project.

What does Transloadit Media Processing need to run?

Going by SKILL.md and its folder, Transloadit Media Processing needs the command-line tools its instructions call (npx) and credentials named TRANSLOADIT_KEY and TRANSLOADIT_SECRET. Our summary lists: Node.js; A credential in TRANSLOADIT_KEY; A credential in YOUR_AUTH_KEY. Compatibility (from SKILL.md): Requires a free Transloadit account (https://transloadit.com/signup). Uses the @transloadit/mcp-server MCP server or the @transloadit/node CLI..

Does Transloadit Media Processing access the network?

SKILL.md names 1 domain. As links in the text: transloadit.com. This is read from the text; nothing was executed.

Is Transloadit Media Processing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Transloadit Media Processing use?

Transloadit Media Processing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Transloadit Media Processing use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Transloadit Media Processing?

Skills that share tags, products or a category with Transloadit Media Processing: Resolve Audio (samuelgursky/davinci-resolve-mcp, 3.4k stars), Premiere Captions (ayushozha/AdobePremiereProMCP, 116 stars), Proofread (sonilo-ai/skills, 115 stars) and Scenario Caption Studio (scenario-labs/skills, 898 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Transloadit Media Processing?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.