Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Vector concepts, best practices, and implementation patterns.

Amazon OpenSearch vector search expert knowledge base. Comprehensive guidance on vector search configuration, cluster tuning, quantization, cost optimization...

Provides semantic vector search over Aister's memory using PostgreSQL and e5-large-v2 embeddings to find related content by meaning in Russian and English.

High-fidelity text-to-vector model with 4MP-tier quality. Suitable for production-grade SVG assets and detailed illustrations. 高保真文本到矢量模型，4MP 级品质。适合生产级 SVG 素...

Design and build a hybrid retrieval system combining BM25 keyword search, vector embeddings, and knowledge graph traversal for AI agent memory. Use when buil...

Lightfather (Excavationpro / Justin Helmer) persona helper for the Δ9Quantum Light Accord. Vector-anchor advisor for resonance math framing, truth preservati...

Store, search, and manage local vector memories using Ollama embeddings with Qdrant, supporting Chinese and English text without cloud dependencies.

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

Generate logos, icons, illustrations and other vector graphics from natural language descriptions. Supports style directives (flat monochrome/gradient/stroke...

Control Anki Vector robot via wire-pod. Speak through Vector, see through its camera, move head/lift/wheels, change eye colors, trigger animations. Use when user mentions Vector robot, wants to speak through a robot, control a physical robot, or interact with wire-pod.

Control a Vector robot via Wirepod’s local HTTP API on the same network. Use when you need to move Vector, tilt head/lift, speak text, capture camera frames, or run patrol/explore routines from the Pi/Wirepod host. Includes a CLI helper script and endpoint reference.

Vector database operations toolkit for AI/RAG applications. Supports Qdrant, Chroma, and in-memory vector stores. Use when working with embeddings, semantic...

Deep vector database workflow—embedding choice, index algorithms, recall/latency trade-offs, hybrid search, filtering, operational tuning, and cost. Use when...

8 vector store implementations behind a common interface — numpy, lancedb, qdrant, pgvector, weaviate, weaviate_hybrid, milvus, lightrag. Use when evaluating...

Fix garbled text in PDF/SVG vector graphics for final editing in AI. Detect, replace and repair garbled text in vector graphic files while maintaining origin...

Smart memory search with automatic vector fallback. Uses semantic embeddings when available, falls back to built-in search otherwise. Zero configuration - works immediately after ClawHub install. No setup required - just install and memory_search works immediately, gets better…

Full memory stack for OpenClaw on Windows. Includes LanceDB semantic memory, git-notes decision memory, and memory hygiene workflow.

Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficient…

Indexed by skills.sh from ruvnet/ruflo

Indexed by skills.sh from giuseppe-trisciuoglio/developer-kit

Indexed by skills.sh from neo4j-contrib/neo4j-skills

Indexed by skills.sh from orchestra-research/ai-research-skills

Indexed by skills.sh from redis/agent-skills

Indexed by skills.sh from gocallum/nextjs16-agent-skills

Indexed by skills.sh from upstash/skills

Indexed by skills.sh from ruvnet/ruflo

Indexed by skills.sh from sickn33/antigravity-awesome-skills

Indexed by skills.sh from manutej/luxor-claude-marketplace

Indexed by skills.sh from ruvnet/ruflo

Indexed by skills.sh from trailofbits/skills

Indexed by skills.sh from ruvnet/ruflo

Indexed by skills.sh from wshobson/agents

Indexed by skills.sh from ruvnet/ruflo

Indexed by skills.sh from ruvnet/ruflo

MCP tools for Anki Vector: speech, motion, camera, sensors, and automation workflows.

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

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

Converts raster images (PNG/JPG) into color vector SVGs with scalable, lossless quality and returns a URL for logos, icons, and illustrations.

Make true scalable vector art (logos, icons, app glyphs, scalable illustrations) or convert a raster image into clean editable SVG. Use when the user says "m...

Operate Milvus vector database with pymilvus — collections, vector search, hybrid search, indexes, RBAC, partitions, and more via Python code.

Provides persistent, searchable AI agent memory with real-time capture, vector search, and nightly LLM curation for long-term recall on local hardware.

Advanced Qdrant vector database operations for AI agents. Semantic search, contextual document ingestion with chunking, collection management, snapshots, and...

AI-native SVG vector graphics generation tool. Use when generating SVG graphics from text prompts or converting images to SVG. Supports: (1) Text-to-SVG gene...

Build and deploy local RAG (Retrieval-Augmented Generation) systems with offline document processing, embedding models, and vector storage.

Vector memory search and RAG skill for OpenClaw. Provides vector_search tool backed by Qdrant, auto-syncs memory .md files and Postgres records via nomic-emb...

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

Expert SurrealDB 3 architect and developer skill (tracks v3.1.4+). SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospa...

Complete local memory system for OpenClaw: 4-layer memory pipeline (L0→L1→L2→L3) + local vector search (nomic-embed-text) + ontology knowledge graph + Nomic...

Manage Zilliz Cloud clusters and Milvus vector databases — cluster ops, collections, vector search, RBAC, backups, imports, and more via zilliz-cli.

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

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.

Fast vector similarity search at billion scale.

Managed vector DB for production RAG and search.

Vector search engine for production RAG systems.

Amber-Hunter is a local AI memory engine that encrypts, stores, and summarizes OpenClaw/Claude sessions and files for instant recall and optional cloud sync.

Give AI agents persistent semantic memory using the BlueColumn API (bluecolumn.ai). Use when asked to remember, store, recall, or search memory using BlueCol...

Ingest Taiwan civil court judgments (HTML or PDF) — exclusively covering Taiwan civil cases — into Qdrant with Ollama embeddings, preserving traceability, de...

Self-hosted RAG engine with hybrid semantic and keyword search, document ingestion, local privacy, and seamless OpenClaw integration via Docker.

Embeddings with nomic-embed-text, mxbai-embed, and snowflake-arctic-embed across your device fleet. Fleet-routed via Ollama for RAG, semantic search, and vec...

AI-Native GitHub Assistant powered by Embedder+Qdrant+LLM architecture. Index repos, semantic search across issues/PRs/code, proactive monitoring with Feishu...

Agent long-term memory system with five-layer architecture (Context/Task/User/Knowledge/Experience). Use when building agents that need persistent memory, ta...

Logs all OpenClaw conversations and events with role tags, saving to JSONL and Memvid for full context search and monthly sharded or single-file storage.

OpenViking context database for AI agents — layered context loading (L0/L1/L2), semantic search, file-system memory management. Use when setting up OpenVikin...

Total recall, 90% fewer tokens. Open source OpenClaw memory plugin — 5-engine local search, structured fact extraction, smart dedup, cross-agent sharing, and...

High-privilege resource allocation

High-growth innovation

Resource mobilization

Risk management

Expert guidance

System protection

Risk-reward calculation

Last-ditch defense

Emergency response

Crisis calming

High-frequency decisions

Rapid mediation

Expert guidance to build, optimize, and debug production-ready Retrieval-Augmented Generation (RAG) systems using a complete methodology from architecture to...

Build, optimize, and operate production-ready Retrieval-Augmented Generation systems with best practices in architecture, chunking, embedding, retrieval, eva...

Provides persistent memory management for storing, retrieving, updating, and deleting user-related information across conversations in OpenClaw AI.

Provides a secure, least-privilege interface for managing user data, personas, and config snapshots in MySQL with input validation and secret redaction.

Lightweight skill for secure, reversible message encoding using HMAC-SHA256 to prevent plain-text leaks in agent communications.

VectorShift (vectorshift.ai). Use this skill for ANY VectorShift request — searching and reading data. Whenever a task involves VectorShift, use this skill i...

Build and maintain a cross-platform local Zotero semantic index using metadata embeddings and PDF full-text chunk embeddings. Use when the user asks to vecto...

Design and deploy aiXplain agents with conservative defaults, read-only discovery first, and explicit approval gates for higher-risk actions.

Embedding database for RAG and semantic search.

Agent RAG and long-term memory with Pinecone.

Indexed by skills.sh from cinience/alicloud-skills

Indexed by skills.sh from jezweb/claude-skills

Indexed by skills.sh from timescale/pg-aiguide

Indexed by skills.sh from aws/agent-toolkit-for-aws

Indexed by skills.sh from marketcalls/vectorbt-backtesting-skills

Indexed by skills.sh from serpdownloaders/skills

AI/ML engineering specialist for building intelligent features, RAG systems, LLM integrations, data pipelines, vector search, and AI-powered applications. Us...

Always-On Memory Service — persistent 4-tier memory (episodic, semantic, procedural, working) with weighted retrieval, vector search, progressive disclosure...