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Llm Streaming Response Handler

Checked
erichowens·vlatest·ai-ml·MIT

Provides LLMs guidance and assistance for building AI and machine learning applications.

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 curiositech/some_claude_skills --skill llm-streaming-response-handler -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

erichowens

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 erichowens/some_claude_skills at 6713fc7a64.

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

Commit
6713fc7a64
Manifest
.claude/skills/llm-streaming-response-handler/SKILL.md
Scanned
1 file, 509 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

This skill enables an AI agent to handle and display Large Language Model (LLM) responses as they are being generated, rather than waiting for the entire response to complete. This provides a more interactive user experience by showing text incrementally, improving perceived responsiveness and allowing users to begin processing information sooner. The handler is specifically designed for use with Claude models.

When to use it

  • Long-form content generation: Ideal when generating articles, stories, or code where waiting for the full response would be frustrating.
  • Interactive chatbots: Provides a more natural and engaging conversation flow by displaying responses in real time.
  • Complex reasoning tasks: Allows users to follow the AI's thought process as it works through intricate problems.
  • Real-time data analysis: Useful for streaming results or insights from an ongoing analysis.

Key capabilities

  • Handles LLM streaming responses.
  • Specifically designed for Claude models.
  • Provides incremental text display to users.
  • Improves perceived responsiveness of the AI agent.

Example prompts

  • "Write a short story about a cat, stream the response as you write."
  • "Explain the concept of quantum entanglement and show me your explanation piece by piece."
  • "Generate Python code to sort a list of numbers, display it as you generate it."

Tips & gotchas

  • This skill is tailored for Claude models; compatibility with other LLMs isn't guaranteed.
  • Ensure the underlying LLM supports streaming responses for this skill to function correctly.