internet-skill-finder

Search and rank Agent Skills from verified GitHub repositories.

Updated Oct 31, 2025
One-click install
npx skills add https://github.com/FassadenFix/FaFi --skill internet-skill-finder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: internet-skill-finder
Source: https://github.com/FassadenFix/FaFi/tree/main/skills/internet_skill_finder
Command: npx skills add https://github.com/FassadenFix/FaFi --skill internet-skill-finder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams quickly locate and recommend Agent Skills from verified GitHub repositories, reducing search friction and enabling faster automation discovery.

Core Features & Use Cases

  • Discovery: crawls verified repositories and surfaces relevant Agent Skills with sources and descriptions.
  • Recommendation: ranks and presents candidates for user tasks such as automation, data processing, and AI agent workflows.
  • Use Case: When you need to propose a set of ready-to-import skills for a new automation project, you can request a ranked list of candidates.

Quick Start

Fetch skills for a given keyword and review results by running the integration workflow:

  • python3 scripts/fetch_skills.py --search "keyword"
  • python3 scripts/fetch_skills.py --list
  • python3 scripts/fetch_skills.py --online --search "keyword"

Frequently Asked Questions about internet-skill-finder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find agent skills on GitHub for automation workflows?

You can find agent skills by searching verified GitHub repositories using targeted keywords. The skill surfaces structured metadata from SKILL.md frontmatter to help you locate and compare relevant automation, data processing, or AI agent skills.

Can I search GitHub repositories for skills offline?

Yes, you can search GitHub skills offline using a local cache. The tool supports both offline cached data and real-time online sources, allowing you to fetch skill metadata without a continuous internet connection.

What is the best way to recommend ready-to-import skills for an AI agent project?

The best way to recommend ready-to-import skills is to request a ranked list of candidates. The tool crawls verified repositories, evaluates available script data, and presents structured skill recommendations tailored to your specific domain workflows.

Does the skill discovery tool read SKILL.md frontmatter to compare options?

Yes, the skill discovery process reads SKILL.md frontmatter to extract structured metadata. This allows you to effectively compare descriptions, sources, and script data before importing agent skills into your automation workflows.

What are the limitations of using an offline cache for skill discovery?

Using an offline cache for skill discovery limits results to previously fetched data. It will not surface newly created agent skills or recent repository updates unless you run the online search command to refresh the local cache.