Docs Demo

Name: Docs Demo
Author: remotion-dev

Official

remotion-dev·vlatest·writing

This skill provides interactive demos of various AI models and features, showcasing their capabilities for quick understanding and experimentation.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add remotion-dev/remotion --skill docs-demo -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

remotion-dev

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 28 Sept 2026

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 remotion-dev/remotion at d458be6a37.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: d458be6a37
Manifest: .agents/skills/docs-demo/SKILL.md
Scanned: 1 file, 58 lines

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

About this skill

What it does

The docs-demo skill provides a demonstration of how to interact with documentation. It allows an AI agent to retrieve and present information from technical documents, specifically designed for showcasing capabilities. This includes understanding context and responding appropriately based on the provided text.

When to use it

When you need to quickly extract specific details from lengthy documentation.
To verify that an AI agent can accurately interpret and summarize complex technical content.
For demonstrating the ability of an AI agent to answer questions about a product or service using its official documentation.
As part of testing an AI agent's comprehension skills with structured information.

Key capabilities

Documentation retrieval
Contextual understanding
Response generation based on document content

Example prompts

"Can you summarize the key features described in this document?"
"What are the prerequisites mentioned for using feature X?"
"Explain how to configure setting Y according to the documentation."

Tips & gotchas

The skill's effectiveness is directly tied to the quality and structure of the provided documentation. Ensure the documents are well-organized and clearly written for optimal results.