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Ai Llm Skills Guide

Checked
gmh5225·vlatest·ai-ml·MIT

Helps with AI, LLMs as part of building AI and machine learning applications workflows.

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 gmh5225/awesome-skills --skill ai-llm-skills-guide -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

gmh5225

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 gmh5225/awesome-skills at 847d92a4ca.

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

Commit
847d92a4ca
Manifest
.claude/skills/ai-llm-skills/SKILL.md
Scanned
1 file, 108 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 provides access to a collection of skills for AI agents. It allows users to discover and install these skills, extending the capabilities of their AI agents with pre-built functionalities. The focus is on providing modular components that can be easily integrated into various AI agent workflows.

When to use it

  • Expanding Agent Capabilities: When you want your AI agent to perform tasks beyond its core functionality without extensive custom development.
  • Rapid Prototyping: To quickly test and integrate new features into an AI agent for proof-of-concept or experimentation.
  • Skill Discovery: When seeking pre-built, reusable components to enhance the overall performance of your AI agents.
  • Modular Design: For building AI agents with a modular architecture where functionality can be added or removed easily.

Key capabilities

  • Skill discovery and browsing
  • Skill installation
  • Pre-built functionalities for AI agents
  • Modular component integration

Example prompts

  • "Show me available skills."
  • "Install the 'summarization' skill."
  • "What skills are related to data analysis?"

Tips & gotchas

The effectiveness of this skill depends on the quality and compatibility of the individual skills within the collection. Ensure that any installed skills align with your agent’s architecture and intended use case.