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Gemini

Checked
softaworks·vlatest·ai-ml·MIT

Gemini analyzes text to identify sentiment and key themes, offering valuable insights for understanding opinions and trends.

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 softaworks/agent-toolkit --skill gemini -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

softaworks

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 softaworks/agent-toolkit at 3027f20f31.

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

Scanned
2 files, 518 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 softaworks-gemini skill integrates Google's Gemini AI model into AI agent workflows, enabling advanced natural language understanding, multilingual support, and complex reasoning capabilities. It allows agents to process and generate high-quality text responses, perform tasks like content creation, coding assistance, and data analysis with enhanced accuracy.

When to use it

  • When you need an AI agent to understand and respond to user queries in multiple languages.
  • For generating detailed explanations or creative content based on complex prompts.
  • To improve the reasoning and problem-solving abilities of your AI agent for technical tasks.
  • When deploying agents that require high accuracy in text generation, such as customer support or documentation.

Key capabilities

  • Multilingual natural language processing
  • Advanced reasoning and context understanding
  • High-quality text generation for content creation
  • Integration with Google's Gemini AI model

Example prompts

  • "Explain the concept of quantum computing in simple terms."
  • "Generate a Python script to analyze this dataset."
  • "Write a customer support response for a technical issue."

Tips & gotchas

  • Ensure you have access to the Gemini API and proper authentication credentials.
  • Performance may vary based on input complexity, so test with different prompt types.