resource-discovery
CommunityDiscover and evaluate AI resources.
Software Engineering#developer tools#benchmarking#llm evaluation#ai tools#resource discovery#rag framework
AuthorLannieYoo
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps users discover, evaluate, and select the best AI resources, tools, and frameworks by automating the process of finding and assessing them.
Core Features & Use Cases
- Resource Discovery: Finds AI agents, LLMs, RAG frameworks, and vector databases from sources like GitHub, HackerNews, and Reddit.
- Automated Evaluation: Benchmarks LLM providers and RAG frameworks for performance, cost, and quality.
- Selection Recommendation: Provides data-driven recommendations based on evaluation results and user-defined criteria (cost, quality, speed).
- Use Case: A developer needs to choose an LLM provider for their new application. They can use this Skill to discover available providers, run benchmarks on their performance and cost, and receive a recommendation based on their specific needs.
Quick Start
Run the discover_ai_llm_providers script to find available LLM providers.
Dependency Matrix
Required Modules
requestsbeautifulsoup4python-dateutil
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: resource-discovery Download link: https://github.com/LannieYoo/gangwon-business-portal/archive/main.zip#resource-discovery Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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