Skip to content
TrustedSkillsbeta
Back to all skills

Streaming

Checked
assistant-ui·vlatest·video-media

This "Streaming" skill dynamically updates information in real-time, providing users with current data and a continuously evolving experience.

Repository

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add assistant-ui/skills --skill streaming -a claude-code

  2. 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

assistant-ui

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.

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

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 assistant-ui/skills at 1ba8e9105c.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1ba8e9105c
Manifest
assistant-ui/skills/streaming/SKILL.md
Scanned
5 files, 877 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 streaming skill enables AI agents to process and deliver data in real-time, allowing continuous updates without requiring full completion of a task before sending results. It supports live data transmission, making it ideal for scenarios where timely information is critical.

When to use it

  • Delivering live updates during a video call or event.
  • Providing incremental responses while processing large datasets.
  • Streaming real-time analytics or monitoring dashboards.
  • Sending continuous feedback in interactive applications like chatbots or games.

Key capabilities

  • Real-time data transmission
  • Incremental response delivery
  • Live updates without full task completion

Example prompts

  • "Stream the results of this calculation as they become available."
  • "Provide live updates on the status of this process."
  • "Send real-time feedback during the execution of this task."

Tips & gotchas

  • Ensure your system can handle continuous data flow without lag.
  • Be mindful of bandwidth and latency considerations when streaming large volumes of data.