Loom Nodejs
CheckedLoom Nodejs generates efficient, serverless functions from your code, simplifying backend development and scaling effortlessly.
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 link-loom/agent-skills --skill loom-nodejs -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
link-loom
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 link-loom/agent-skills at 6078533288.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6078533288
- Manifest
- loom-nodejs/SKILL.md
- Scanned
- 5 files, 953 lines
About this skill
What it does
This skill allows an AI agent to interact with Loom, a video messaging platform. It enables agents to create new Loom recordings, list existing Loom videos by user or team, and retrieve details about specific Loom videos including their URL and description. This facilitates automated documentation, feedback collection, and internal communication workflows.
When to use it
- Automated Documentation: Generate short Loom video explanations for code changes or project updates.
- Feedback Collection: Automatically create Loom recordings to solicit feedback from team members on design mockups or prototypes.
- Internal Communication: Send personalized Loom messages with instructions or announcements to specific users or teams.
- Knowledge Base Creation: Populate a knowledge base with Loom videos demonstrating common procedures.
Key capabilities
- Create new Loom recordings
- List Loom videos by user
- List Loom videos by team
- Retrieve details about individual Loom videos (URL, description)
Example prompts
- "Record a Loom video explaining the changes in commit hash abc123."
- "Show me all Loom videos created by John Doe this week."
- "Get the URL and description of the Loom video titled 'Project Alpha Demo'."
Tips & gotchas
Requires an active Loom account with API access. The agent will need appropriate permissions within your Loom workspace to perform actions like creating recordings or listing videos.