AI Skills for Ollama

Extracts structured domain knowledge from AI models, creating a searchable reference dataset without needing an API key.

Specializes in building production-ready LLM applications and intelligent agents, optimizing AI architectures and retrieval systems.

Utilizes AI to correlate OSINT findings from multiple sources into unified intelligence profiles for enhanced threat analysis.

Zotero AI Butler enhances academic research by summarizing, analyzing, and annotating papers directly within Zotero using AI.

Khoj is an AI-powered research assistant that helps users manage knowledge and conduct deep research by indexing personal documents and web data.

Enables deep research over private data using vector search, enhancing document retrieval and iterative research capabilities.

Facilitates comprehensive multi-source research using local or cloud LLMs, ideal for academic inquiries and literature reviews.

Fetches and classifies current AI model names from various providers, ensuring up-to-date model IDs for API calls.

Facilitates exporting fine-tuned models to GGUF format for efficient deployment in local serving tools like Ollama and llama.cpp.

Enables the creation of AI agents using the Strands Agents SDK, facilitating autonomous operations and multi-agent orchestration.

Facilitates the creation of production-ready AI workflows using Firebase Genkit, supporting various programming languages and AI plugins.

Enables inspection and configuration of AI engines for agents, allowing users to switch models and test new providers seamlessly.

Specializes in building production-ready LLM applications and advanced RAG systems, integrating intelligent agents and vector search capabilities.

Enables seamless integration with Ollama using OpenAI's Python library for easy migration and compatibility with various tools.

Transcribes audio and video from URLs using WhisperKit and analyzes transcripts with AI upon request.

Provides a comprehensive reference for AI tools in DBX Studio, aiding in tool management and integration.

Provides a comprehensive reference for AI tools in DBX Studio, aiding in tool management and integration.

Facilitates the export of fine-tuned models to GGUF format for efficient deployment in local serving tools like Ollama and llama.cpp.

Enables developers to build type-safe, composable LLM applications using DSPy.rb, optimizing AI features and workflows.

Configures and optimizes the Auto-Claude Graphiti memory system for persistent context retention and semantic search across sessions.