loom

What This Skill Does

The Loom skill for OpenClaw provides a robust interface to interact with your Loom video workspace directly from the command line or via an AI agent. It abstracts the complex Loom Developer API, allowing users to list, retrieve, update, and manage their video assets, transcripts, and organizational folders programmatically. Whether you are automating content workflows, archiving meeting recordings, or extracting transcript data for analysis, this skill serves as the bridge between your video library and the OpenClaw agent environment.

Installation

To integrate the Loom skill into your agent framework, ensure you have your Loom Developer API token ready. Execute the following command in your terminal: clawhub install openclaw/skills/skills/aiwithabidi/loom

Once installed, you must configure your environment by setting the LOOM_ACCESS_TOKEN variable. This token grants the skill permission to access your specific workspace data. For security, ensure this token is kept in a protected environment variable or a secure credential vault rather than hardcoding it into your scripts.

Use Cases

This skill is ideal for teams and individual creators looking to scale their video workflows. Common use cases include:

• Automatically fetching transcripts from newly recorded Loom videos to generate meeting summaries or blog posts.
• Organizing video libraries by querying folder structures and identifying videos that need updating or archiving.
• Monitoring team communication by pulling video comments for sentiment analysis or task tracking.
• Auditing workspace activity by listing team members and their associated content, ensuring proper permissions and compliance within a corporate environment.

Example Prompts

1. "List all videos in my Loom workspace and extract the transcript for the most recent one to summarize it."
2. "Find the folder named 'Project Alpha' and tell me how many videos are currently inside it."
3. "Update the title of video ID 12345 to 'Q3 Marketing Sync' and add a description about the Q3 launch strategy."

Tips & Limitations

When using the Loom skill, always remember that API interactions are subject to Loom's rate limits. If you are processing a large volume of videos, implement pauses between sequential requests to avoid hitting these limits. Additionally, note that the skill provides direct access to your workspace; verify that your LOOM_ACCESS_TOKEN has the least-privileged access required for your specific workflow needs. The --human flag is particularly useful when debugging or performing quick checks, while the default JSON output is intended for agent-based data processing.