Score
8.5
/ 10
Installs
290K
Repo Stars
6.7K
Last Updated
0d ago
Quality Ratio
95%
Description
Verified
Language
TypeScript
First Published
Jul 2026
Summary
The Remotion Docs agent skill enables developers to accurately discover and read the most current Remotion documentation, ensuring up-to-date guidance for their projects. This skill is invaluable for developers working with Remotion, especially those building video generation applications or needing specific API details within their workflow. It is a skill with 84K installs, indicating significant adoption within the o-mega.ai ecosystem. This agent skill instructs the AI agent to utilize the Algolia search API to locate relevant documentation pages based on a query. The agent then fetches the exact content by appending '.md' to the documentation URL, allowing it to provide precise, token-efficient information directly from the source. This workflow ensures implementation guidance is based on current documentation rather than generalized knowledge, promoting accuracy.
Skill Definition
This skill teaches you how to discover and read current Remotion documentation. If this is not relevant, load Remotion Best Practices instead.
Searching the docs
Use the Algolia search API to find relevant documentation pages:
POST https://plsduol1ca-dsn.algolia.net/1/indexes/*/queries?x-algolia-api-key=3e42dbd4f895fe93ff5cf40d860c4a85&x-algolia-application-id=PLSDUOL1CA
Content-Type: application/x-www-form-urlencoded
{
"requests": [
{
"query": "<your search query>",
"indexName": "remotion",
"params": "attributesToRetrieve= [\"hierarchy.lvl0\",\"hierarchy.lvl1\",\"hierarchy.lvl2\",\"url\"]&hitsPerPage=10"
}
]
}
Each hit contains a url field pointing to the documentation page.
Fetching a page as Markdown
Append .md to any Remotion docs URL to retrieve its Markdown source (saves tokens):
https://www.remotion.dev/docs/use-video-config.md
https://www.remotion.dev/docs/sequence.md
https://www.remotion.dev/docs/lambda/rendermediaonlambda.md
Workflow
- Search Algolia for the concept or API you need.
- Pick the most relevant URL(s) from the results.
- Fetch each URL with the
.mdsuffix. - Implement using the current documentation rather than memorized API knowledge.