Browse skills

Quickly locate relevant code snippets, files, and dependencies within your codebase using semantic search.

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

This skill generates diverse embedding strategies for your data, optimizing semantic understanding and improving AI model performance.

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

This skill leverages vector databases to efficiently store and retrieve semantic similarities between data, enabling powerful search & retrieval tasks.

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

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.

Ontopo extracts structured knowledge (triples) from unstructured text, enabling semantic understanding and reasoning for AI applications.

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.

Generates CSS rules from natural language descriptions, enabling rapid UI prototyping and design iteration.

Seamlessly connects your FastAPI applications to mem0's vector database for rapid semantic search and retrieval.

Refactors Markdown documents into cleaner, more structured formats using advanced AI parsing and semantic understanding.

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

This skill generates diverse embedding strategies for optimal semantic understanding and retrieval across various AI models & datasets.

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

Fast Obsidian-aware semantic search for AI agents. Query your Obsidian vault by content, tags, backlinks, and metadata. Makes your AI agent a true knowledge assistant — without sending vault data to the cloud.