Claude Marketplaces
SkillsMCP serversMarketplacesDigestTools
Submit

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP servers by category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control
Claude Marketplaces

An independent directory of skills, plugins and MCP servers for Claude Code. Not affiliated with Anthropic.

Browse

  • Skills
  • MCP servers
  • Marketplaces
  • Weekly digest
  • Skill index
  • MCP index
  • Marketplace index

Site

  • About
  • Tools
  • Submit
  • Feedback
  • Privacy
  • llms.txt
  • Plugins reference

Maker

  • Snug
  • Agent Caffeine
  • knobs
  • Wax
  • Vectoys
  • mertduzgun.com
Crafted at
Skills/DevOps & CI/CD
github avatar

Transloadit Media Processing

github/awesome-copilotOfficial

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 server connection or CLI properly, gives you working JSON templates for common tasks like HLS encoding and thumbnail generation, and chains multiple processing steps without you having to manage intermediate files. The step definitions are clean and the examples actually work. Most useful when you're building media pipelines and don't want to deal with FFmpeg complexity or spinning up your own processing infrastructure.

installs
8.7K
GitHub stars
40.5K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add github/awesome-copilot --skill transloadit-media-processing --agent claude-code

Installs into .claude/skills of the current project.

Files

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.
SKILL.md on GitHub

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Details

Repository
github.com/github/awesome-copilot
Categories
DevOps & CI/CD, Git & Pull Requests, AI & Agent Building, Automation & Workflows, Sales & Marketing, Office & Documents, Video & Audio Editing

More from github/awesome-copilot

All 318
  • Dataverse Python Usecase Builder8.7K
  • Mcp Create Declarative Agent8.7K
  • Create Spring Boot Kotlin Project8.7K
  • Typespec Create Api Plugin8.7K
  • Cosmosdb Datamodeling8.7K
  • Sponsor Finder8.7K
  • Power Platform Mcp Connector Suite8.7K
  • Mcp Copilot Studio Server Generator8.7K
  • Az Cost Optimize8.7K
  • Kotlin Mcp Server Generator8.7K
  • Shuffle Json Data8.7K
  • Declarative Agents8.7K
  • Azure Resource Health Diagnose8.7K
  • Typespec Create Agent8.7K
  • Containerize Aspnet Framework8.7K
  • Centos Linux Triage8.7K
  • Update Avm Modules In Bicep8.6K
  • Entra Agent User8.6K
  • Ruby Mcp Server Generator8.6K
  • Winapp Cli8.4K
  • Model Recommendation8.4K
  • Polyglot Test Agent8.4K
  • Csharp Mcp Server Generator8.4K
  • Datanalysis Credit Risk7.3K

Recommended

More DevOps & CI/CD
1google avataragent-platform-tuning-managementgoogle/skillsManages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-t8.6Kinstalls
2grafana avatardashboardinggrafana/skillsBuild, modify, and ship Grafana dashboards as JSON via the HTTP API — panel types (timeseries / stat / gauge / table / heatmap / logs / traces / node-graph), `g8.6Kinstalls
3alwaysmeticulous avatarmeticulous-testalwaysmeticulous/skillsRun a Meticulous test run after implementing a frontend change, then hand off to the `meticulous-review` skill to classify each visual change as intended or uni8.6Kinstalls
4google avataragent-platform-eval-flywheelgoogle/skillsMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, bu8.5Kinstalls
5github avatarwinapp-cligithub/awesome-copilotWindows App Development CLI (winapp) for building, packaging, signing, debugging, and UI-automating Windows applications. Use when asked to initialize Windows a8.4Kinstalls
6github avatarpolyglot-test-agentgithub/awesome-copilotGenerates comprehensive, workable unit tests for any programming language using a multi-agent pipeline. Use when asked to generate tests, write unit tests, impr8.4Kinstalls