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

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

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

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

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

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

Design and operate databases avoiding common scaling, reliability, and data integrity traps.

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

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

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

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

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

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

Managed vector DB for production RAG and search.

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

Embedding database for RAG and semantic search.

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.

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…

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

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

Agent RAG and long-term memory with Pinecone.

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

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 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.

Pinecone vector search and document upload tool for knowledge base management

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…

Database Engineering Mastery covers schema design, indexing, query optimization, and migration for PostgreSQL, MySQL, SQLite, supporting OLTP/OLAP workloads.

Guide agents and users to design and implement a "flexible database" on SQLite that can handle semi-structured, multi-source data. Typical scenarios: persona...

Structural database health scanner. Audits schema topology for orphaned tables, missing indexes, nullable FKs, circular dependencies — without ever reading r...

Workspace Documentation and Tree Database Manager. SQLite-based indexing for all documentation, files, and directory structures with CSV/JSON export capabili...

Enter a Chinese term, and I will provide five professional English names for database design fields.

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...

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

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...

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

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.

Vector search engine for production RAG systems.

Secure database credential management using MGC Blackbox. Supports MySQL, PostgreSQL, SQLite, MariaDB and other databases. Store credentials locally in encrypted form, retrieve at runtime without exposing to AI models.

Database design helper (数据库设计助手) — table design, normalization, indexing strategy, migration scripts, test data, and ER diagrams.

Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databas...

Database migration manager. Detects ORM/migration tool in use, generates migrations, handles rollbacks, creates seed scripts, diffs schemas between environme...

Write a safe, zero-downtime database migration plan for a schema change. Use when asked to plan a database migration, design a zero-downtime schema change, d...

Classify a database migration and surface production risks — locks, compatibility, backfills, rollback — and prefer expand-contract sequencing.

Use when designing database schemas, writing migrations, optimizing SQL queries, fixing N+1 problems, creating indexes, setting up PostgreSQL, configuring EF Core, implementing caching, partitioning tables, or any database performance question.

Prevent connection pool exhaustion when querying Railway PostgreSQL database. Use when (1) Running database queries from local environment, (2) Diagnosing "t...

Analyze database replication topology, detect lag, and recommend replication strategy based on CAP tradeoffs

Document or design a database schema with entity relationships, table definitions, constraints, indexes, and access patterns. Use when asked to design a data...

Compare database schemas across environments, generate migration scripts, and track schema evolution.

Database schema management using idempotent sync script instead of Alembic migrations. Use when (1) Adding new database tables, (2) Adding new columns to exi...

Comprehensive API for processing database security audits and generating detailed compliance reports across access control, encryption, network security, and...

Database schema design, SQL optimization, index strategy, and migration planning. User questions are transmitted via HTTPS to a clawtip third-party verification service for order creation; order metadata is stored locally in ~/.openclaw/skills/orders/. No database credentials,…

Database testing for data integrity, SQL validation, migration verification, and performance. Test CRUD operations, constraints, transactions, stored procedu...

Integrate Didit Database Validation API to verify personal data against government databases. Use when the user wants to validate identity against government...

Write database queries using tkms AsyncSqlSessionTemplate. Use when implementing dao layer, writing SQL, or when the user asks for database operations with i...

Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, con...

Automate common Notion database operations like batch page creation, data filtering, content generation, and export. Use when you need to automate workflows...

Search the Recreation Information Database (RIDB) for campgrounds and recreation facilities near a location. Use when finding campgrounds, recreation areas, or federal facilities by location/radius. Supports geocoding (city names) and lat/lon coordinates.

Query and manage leads from the SMB Sales Boost B2B lead database. Search newly registered businesses, filter by location/industry/keywords, export leads, ma...

All-in-one SQL data analysis toolkit supporting database/file connection, SQL query, visualization, AI insights, and report/dashboard generation with templates.

Query TDengine time-series database for futures market data using predefined schemas and tags like symbol and exchange.

Complete database schema reference for Teamgram Server with all 43 tables, ER relationships, and key table structure explanations for the MySQL teamgram data...

Operate Volcengine RDS instances and database workflows. Use when users need provisioning guidance, connectivity checks, performance troubleshooting, or backup/restore procedures.

Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill. Supersedes general training-data knowledge with post-training service updates, corrected limitations, and decisio…

Expert database administrator specializing in high-availability systems, performance optimization, and disaster recovery. Masters PostgreSQL, MySQL, MongoDB,...