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Industry Agent Recommendations

Checked
cnn-cnn-creatoe·vlatest·agents

Suggests relevant industry experts and resources based on your project's needs, powered by CNN data.

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 cnn-cnn-creatoe/ai-health-assistant --skill industry-agent-recommendations -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

cnn-cnn-creatoe

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 cnn-cnn-creatoe/ai-health-assistant at f1ab475a52.

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

Scanned
1 file, 368 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 recommendations for AI agents based on industry needs. It helps users identify suitable AI agents to address specific challenges within their sector, suggesting tools and resources tailored to particular use cases. The skill aims to streamline the agent selection process by offering curated suggestions.

When to use it

  • New to AI Agents: If you're unsure which AI agents are best suited for your business needs.
  • Exploring Solutions: To discover potential AI solutions for specific industry challenges like customer service or content creation.
  • Agent Selection: When needing assistance in choosing the right AI agent from a wide range of available options.
  • Industry-Specific Needs: When seeking agents tailored to unique requirements within your sector.

Key capabilities

  • Provides AI agent recommendations based on industry input.
  • Suggests tools and resources for specific use cases.
  • Streamlines the AI agent selection process.

Example prompts

  • "Recommend some AI agents suitable for a healthcare marketing team."
  • "What are good AI agents for automating customer service in e-commerce?"
  • “I need an AI agent to help with content creation for a financial services company, what do you suggest?”

Tips & gotchas

The quality of recommendations depends on the specificity and clarity of your industry description. Providing detailed information about your needs will yield more relevant suggestions.