Browse skills

Quickly retrieve answers and code examples from OpenAI's official documentation using this specialized search tool.

Identifies potential online dangers & misinformation using Gemini's web search capabilities, powered by Jim Liu's BaoYu framework.

Fine Tuning Serving Openpi — provides AI agent assistance for software development workflows.

Davila7's perplexity-search analyzes text to identify confusing or unclear passages needing clarification or rephrasing.

Generates high-quality embeddings using GrepAI and Ollama for semantic search, similarity analysis, and knowledge graph construction.

Scikit Bio analyzes biological sequences (DNA, RNA, protein) using scikit-learn for pattern recognition and prediction – useful for bioinformatics research.

Leverages Claude’s advanced reasoning to analyze and synthesize complex scientific data, boosting research efficiency and understanding.

Designs, optimizes, and troubleshoots vector databases for efficient similarity search and embedding storage.

This tool creates vector embeddings from text, enabling semantic search and understanding within AI applications.

This skill leverages Gemini to perform web searches and summarize findings directly within your workflow, boosting research efficiency.

Automates web research tasks, extracting data and insights from online sources based on provided queries.

Provides LLMs guidance and assistance for building AI and machine learning applications.

Leverages Anthropic's Claude models to provide expert-level research, analysis, and concise summaries on diverse topics.

This Embedding Service converts text into numerical representations (embeddings) for semantic search and machine learning tasks, boosting AI performance.

Ralph Prompt Research — provides AI agent assistance for software development workflows.

Together Embeddings generates high-quality vector representations of text data for semantic search and AI applications, boosting performance & understanding.

This skill generates CLIP-aware embeddings for images and text, enabling powerful semantic search and similarity matching across diverse content.

Generates vector representations (embeddings) of text using Gemini, enabling semantic search and similarity analysis for powerful AI applications.

This skill automatically converts documents into vector datasets for efficient semantic search and AI model training.

Leverage OpenAI's power to conduct in-depth research, synthesize findings, and generate comprehensive reports on complex topics.

Ark Embedding generates vector embeddings for your data, enabling semantic search and similarity analysis across diverse text formats.

Semantic search sidecar for Karakeep bookmarks. Find bookmarks by meaning, not just keywords. Uses vector embeddings for intent-aware retrieval.

Async deep research via Gemini Interactions API. RAG-ground queries on local files, preview costs with --dry-run, get structured JSON output. Universal skill for 30+ AI agents.

Claude Code slash commands for Universal AI Agent Discovery - search 59,000+ agents, resolve UAIDs, chat with AI agents | https://hol.org