Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
Graph-native memory engine for AI agents — hybrid vector+keyword search, biological decay, Zettelkasten linking, trust-gated conflict resolution, explainabil...
seekdb database documentation lookup. Use when users ask about seekdb features, SQL syntax, vector search, hybrid search, integrations, deployment, or any se...
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.
Local persistent vector memory system using LanceDB and Ollama for semantic search and multi-user isolated long-term AI assistant memory.
Expert guidance to build, optimize, and debug production-ready Retrieval-Augmented Generation (RAG) systems using a complete methodology from architecture to...
Self-hosted RAG engine with hybrid semantic and keyword search, document ingestion, local privacy, and seamless OpenClaw integration via Docker.
Provides persistent memory management for storing, retrieving, updating, and deleting user-related information across conversations in OpenClaw AI.
Logo design principles and AI image generation best practices for creating logos. Covers logo types, prompting techniques, scalability rules, and iteration w...
Generate, remix, and edit images using fal.ai's AI models. Supports text-to-image generation, image-to-image remixing, and targeted inpainting/editing.
Deploy web services to the cloud with Jack. Use when: you need to create APIs, websites, or backends and deploy them live. Teaches: project creation, deploym...
--- name: "rag-architect" description: "RAG Architect - POWERFUL" --- # RAG Architect - POWERFUL ## Overview The RAG (Retrieval-Augmented Generation) Architect skill provides comprehensive tools an
Build a more reliable OpenClaw agent with battle-tested architecture patterns. Covers WAL protocol, working buffer, memory anti-poisoning, layered memory com...
Personal cognitive architecture that learns how you work. Builds a knowledge graph from your sessions, profiles your expertise, adapts retrieval per task, an...
Design, test, review, and maintain agent skills for OpenClaw systems using multi-agent iterative refinement. Orchestrates Designer, Reviewer, and Tester suba...
Provision a disposable MySQL-compatible database instantly for free, no auth required. Includes a claim URL to convert Zero instances into regular TiDB Start...
Search markdown knowledge bases efficiently using qmd. Use this when searching Obsidian vaults or markdown collections to find relevant content with minimal token usage.
Use when the user asks about OpenClaw — installation, configuration, agents, channels, memory, tools, hooks, skills, deployment, Docker, multi-agent, OAuth,...
Graph-based reasoning with thought combination and feedback loops. Explores multiple solution paths simultaneously, combines insights, and synthesizes optima...
--- name: index1 description: AI memory system for coding agents — code index + cognitive facts, persistent across sessions. version: 2.0.3 license: Apache-2.0 author: gladego tags: [mcp, memory, se
Provision and manage production-grade databases on Kubernetes using KubeBlocks. Use this skill when the user needs a database — MySQL, PostgreSQL, Redis, Mon...
OpenClaw deployment optimization guide based on 800 RMB (100 USD) of real-world experience. Helps new users quickly complete skill installation, configuratio...
Database Engineering Mastery covers schema design, indexing, query optimization, and migration for PostgreSQL, MySQL, SQLite, supporting OLTP/OLAP workloads.