Football player DNA similarity search — find style-matched alternatives at lower market values using AI vector search across 56,000+ players

Compare two images or PDFs for visual similarity via the PDFAPIHub cloud API. Documents are uploaded to pdfapihub.com for comparison using feature matching,...

Indexed by skills.sh from google-deepmind/science-skills

Indexed by skills.sh from wshobson/agents

Fast vector similarity search at billion scale.

Football transfer intelligence — real-time rumour tracking, AI Truth Meter credibility scores, and multi-source verification across 137,000+ transfer events

Vector search engine for production RAG systems.

Build vector retrieval with DashVector using the Python SDK. Use when creating collections, upserting docs, and running similarity search with filters in Cla...

Use AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vec...

Use when building vector retrieval with DashVector using the Python SDK. Use when creating collections, upserting docs, and running similarity search with fi...

Use when working with AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Cla...

Search and find relevant chat messages from Feishu or Telegram using semantic search with similarity scores and message source labels.

Compare two texts and get a unified diff with a similarity score (0-1), line-level additions/deletions, and individual change records. Useful for comparing L...

ElevenLabs eleven_v3 text-to-speech with 12 curated multilingual voices and stability/similarity/style controls. Great for dubbing, audiobooks, and character...

Connect to Supabase for database operations, vector search, and storage. Use for storing data, running SQL queries, similarity search with pgvector, and mana...

Generate, store, and search vector embeddings with provider selection, chunking strategies, and similarity search optimization.

Enhances memory search by combining co-occurrence graph analysis and semantic similarity for improved contextual relevance and ranking.

Detect and remove exact or similar duplicate images in folders using perceptual and MD5 hashing with configurable similarity and actions.

Key-embedding value store with memory integration — fuzzy-search by embedding similarity with multi-alias dedup and optional memory indexing.

Provides time-aware memory retrieval by combining vector similarity with temporal relevance and tracks learning progress for enhanced study management.

This skill should be used when the user asks to "enable semantic caching", "cache LLM responses", "reduce API costs", "speed up AI responses", "configure LangCache", "search the semantic cache", "store responses in cache", or mentions Redis LangCache, semantic similarity cachi…

Build music recommendations and create Spotify playlists using Last.fm similarity and listening history.

Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. T…

Implements semantic search using local vector embeddings for knowledge base indexing and similarity matching. Use when you need to search documents by meanin...

Operate Milvus vector database with pymilvus Python SDK. Use when the user wants to connect to Milvus, create collections, insert vectors, perform similarity...

Process text with NLP. Use when tokenizing, analyzing sentiment, extracting entities, summarizing documents, or measuring similarity.

Detect and quantify AI writing traces, rewrite to remove AI style and reduce similarity while preserving terminology, data, and academic rigor in bilingual p...

Use when: User provides text/document and asks to check originality, detect plagiarism, assess similarity, or rewrite high-duplicate content. Triggers: "chec...

Digital signal processing toolkit for filtering, peak detection, detrending, and curve similarity. Use when working with sensor data, signal preprocessing, f...

Build vector search with Qdrant using collections, payloads, filtering, and optimized indexing for semantic similarity.

Automatically refines unclear prompts, matches relevant skills via vector similarity, integrates context, and suggests execution steps for efficient AI task...

Connect to Supabase for database operations, vector search, and storage. Use for storing data, running SQL queries, similarity search with pgvector, and managing tables. Triggers on requests involving databases, vector stores, embeddings, or Supabase specifically.

Taizi Knowledge Base is a powerful personal knowledge management system that integrates vector search, entity relationships, and note management. It enables efficient information retrieval by combining semantic similarity with structured connections, helping you organize, disc…

Perform pixel-level visual regression testing on web apps by capturing, comparing screenshots, and gating deployments based on configurable similarity thresh...

Voyage AI embedding and reranking CLI integrated with MongoDB Atlas Vector Search. Use for: generating text embeddings, reranking search results, storing embeddings in Atlas, performing vector similarity search, creating vector search indexes, listing available models, compari…

Crypto project research, new coin discovery, due diligence, developer analysis, whitepaper validation, code similarity checks, and AI-powered development mon...

Conducts a nine-step audit workflow to detect bid rigging through association, pricing, timing, document similarity, qualification checks, and risk grading.

Define custom distance/similarity metrics for clustering and ML algorithms. Use when working with DBSCAN, sklearn, or scipy distance functions with applicati...

Connect to Supabase for database operations, vector search, and storage. Use for storing data, running SQL queries, similarity search with pgvector, and mana...

Manages enterprise-level long-term memory by storing, retrieving, and filtering text data using vector similarity and confidence thresholds.

Automates HTML form creation from roadflow.rf_form using similarity matching, supports client validation, multi-step wizards, and dynamic conditional fields.

This skill provides hybrid retrieval (BM25 semantic search + TF-IDF vector similarity) for intelligent template auto-filling. Use when users need to batch fi...

Compare two face images and return similarity score using iFlytek Face Recognition API.

Semantic memory plugin using m3e-large embeddings with SQLite storage, supporting storage, retrieval, and deletion via cosine similarity search in pure JS.

PostgreSQL vector database skill with pgvector extension. Enables vector similarity search, embeddings storage, RAG (Retrieval-Augmented Generation) pipeline...

Query PubChem via PUG-REST API/PubChemPy (110M+ compounds). Search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, fo...

Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, ve…

Manage vector storage and similarity search using TOS Vectors service. Use when working with embeddings, semantic search, RAG systems, recommendation engines, or when the user mentions vector databases, similarity search, or TOS Vectors operations.

Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retriev…