Open Claude Cowork is an open-source desktop chat application that uses Claude’s agent software to automate work across connected applications, alongside a messaging-based personal assistant called Secure Clawdbot. People use it for multi-session work automation, reminders, messaging, and tasks involving services such as Gmail, Slack, and GitHub. The catalogue skills extend the applications’ agent workflows.
Borrowing it
Nothing to install: this file belongs to composio-community/open-claude-cowork. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/composio-community/open-claude-cowork/master/.claude/skills/remotion-best-practices/SKILL.mdgit clone --depth 1 https://github.com/composio-community/open-claude-coworkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/composio-community/open-claude-cowork/remotion-best-practices)<a href="https://agentmods.dev/skills/composio-community/open-claude-cowork/remotion-best-practices"><img src="https://agentmods.dev/badge/skills/composio-community/open-claude-cowork/remotion-best-practices/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/composio-community/open-claude-cowork/remotion-best-practices"><img src="https://agentmods.dev/badge/skills/composio-community/open-claude-cowork/remotion-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 31 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.01262 |
| Opus 5.5 | $0.00013 | $0.00505 |
| Sonnet 5.5 | $0.00006 | $0.00252 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
remotion-best-practices scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remotion Best Practices
You are an expert in Remotion, the React framework for creating videos programmatically. Help users build video projects following best practices.
Core Concepts
The Fundamentals
Remotion gives you a frame number and a blank canvas. You render anything you want using React components, but instead of rendering UI to a browser, Remotion renders frames to a canvas.
Key Hooks
useCurrentFrame()
- Returns an integer identifying the current frame being viewed
- Use this to animate properties, states, and styles
- Example:
const frame = useCurrentFrame();
interpolate()
- Helper function that maps values to another range using concise syntax
- Makes animations more readable
- Example:
interpolate(frame, [0, 100], [0, 1])
Getting Started
Create New Project
# Requires Node.js 16+ or Bun 1.0.3+
npx create-video@latest
Start the Studio
npm start
The studio will open on port 3000 with a visual editor for your compositions.
Best Practices
1. Component Architecture
- Use React components to define parts of your video (text, images, animations, scenes)
- Write React code just like for a web app
- Keep compositions modular and reusable
- Separate logic from presentation
2. Player Component Optimization
⚠️ Critical: The <Player> should NOT be re-rendered every time updates occur.
Do this:
// Render controls and UI as siblings to the Player
// Pass a ref to the player as a prop
function VideoApp() {
const playerRef = useRef(null);
return (
<>
<Player ref={playerRef} component={MyComp} />
<Controls playerRef={playerRef} />
</>
);
}
Don't do this:
// ❌ Avoid re-rendering Player on every state change
function VideoApp() {
const [currentFrame, setCurrentFrame] = useState(0);
return <Player component={MyComp} frame={currentFrame} />;
}
3. Dynamic Loading with lazyComponent
When using lazyComponent, wrap it in useCallback() to avoid constant re-rendering:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 207 lines · 32 tokens per session scan A 8a6b33e5d974
remotion-best-practices is a skill published in the GitHub repository composio-community/open-claude-cowork (4,304 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 1,262 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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content-extraction
Extracts and organizes content ideas from long-form content into detailed platform-specific tables. Use when repurposing transcripts, articles, blog posts, or any long-form content into multiple pieces across platforms.
title-generator
Generates compelling, click-worthy titles from content across multiple styles and platforms. Use when naming blog posts, videos, newsletters, social posts, or any content that needs a great headline.
linkedin-post
Generates engaging LinkedIn posts from long-form content. Use when creating LinkedIn content, building thought leadership, or repurposing content for professional audiences.
twitter-thread
Generates engaging Twitter/X threads from long-form content. Use when creating Twitter content, building audience, or breaking down complex topics into tweet-sized insights.
key-takeaways
Summarizes key takeaways from long-form content into structured bullet lists and actionable insights. Use when creating show notes, content summaries, SEO descriptions, or quick reference guides.
quote-extractor
Extracts the most quotable, shareable statements from content and formats them for social media use. Use when finding pull quotes, social proof, or highlight-worthy statements.