Mux Video
CheckedAutomatically encode, transcode, and optimize videos for various platforms using Mux's robust media processing pipeline.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add muxinc/skills --skill mux-video -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
muxinc
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned muxinc/skills at 3ec46454cd.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3ec46454cd
- Manifest
- skills/mux-docs/SKILL.md
- Scanned
- 1 file, 77 lines
About this skill
The mux-video skill enables AI agents to interact with Mux's video platform, allowing them to retrieve video assets, manage playback configurations, and analyze viewer engagement metrics directly through API calls. It streamlines the integration of professional-grade video delivery into automated workflows without requiring manual dashboard access.
When to use it
- Automating the retrieval of specific video IDs and playback URLs for content recommendation systems.
- Triggering real-time analytics reports on video performance when a user completes a tutorial or webinar.
- Dynamically adjusting video quality settings based on network conditions detected by an agent managing a streaming service.
- Generating metadata summaries for newly uploaded videos to index them into a searchable database.
Key capabilities
- Fetching video assets and playback tokens via Mux API endpoints.
- Retrieving detailed analytics including view counts, retention rates, and geographic distribution.
- Managing playback parameters such as quality levels and error handling strategies.
- Accessing asset metadata for cataloging and content management purposes.
Example prompts
- "Fetch the latest video uploaded to our channel and provide its unique ID and current view count."
- "Analyze the retention metrics for the Q3 marketing campaign videos and summarize which segments had the highest drop-off rates."
- "Generate a playback URL for the 'Onboarding 101' video optimized for mobile devices with adaptive bitrate streaming enabled."
Tips & gotchas
Ensure your AI agent has valid API credentials with appropriate scopes to access video assets and analytics data. Note that real-time metric retrieval may depend on Mux's reporting latency, so plan for slight delays in data freshness during high-traffic periods.