An executable context layer that teaches AI agents to query data warehouses accurately through MCP with skills, memory, and a semantic layer
Skills in this repository
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Context layer for AI data agents - teach Claude Code, Codex, and AI agents to query data warehouses accurately with semantic layer, wiki knowledge, and MCP tools
Use ktx to give AI agents accurate data warehouse querying through semantic layers, metrics, and business knowledge via MCP
Install and configure ktx, an executable context layer for data and analytics agents that enables accurate warehouse queries through MCP with semantic layer and skills
Context layer for AI data agents - query warehouses accurately with semantic layers, metrics, and wiki knowledge through MCP
Teach AI agents how to query data warehouses accurately using ktx - an executable context layer with skills, memory, and a semantic layer
Build and interact with Elephant Agent, a self-evolving personal AI that grows a Personal Model and manages long-running Paths
AI-powered social media agent with real browser automation for autonomous account operation
LLM-first SEO analysis skill with 16 sub-skills, 10 specialist agents, and 89 evidence collection scripts for comprehensive SEO audits
Add policy enforcement, zero-trust identity, and execution sandboxing to AI agents with Microsoft's Agent Governance Toolkit
A-share multi-agent investment research framework with 7 AI analysts, bull/bear debate, and risk assessment adapted for Chinese stock market
Build and deploy autonomous AI agents with CowAgent - planning, memory, knowledge base, skills, and multi-channel support
AI Agent learning roadmap and curated resources for building production-ready agents with modern patterns like Claude Code, OpenClaw, skills, MCP, and evaluation
CLI and skills for building, evaluating, and deploying AI agents on Google Cloud's Gemini Enterprise Agent Platform using ADK
Design, audit, and refactor production-safe agentic harnesses with provider-neutral best practices for tools, permissions, planning, context, and observability.
Master the Infinite Agentic Loop pattern with Claude Code for parallel AI agent orchestration and iterative content generation
Create and manage AI-powered GitHub workflows that autonomously maintain repositories, review code, update docs, and handle developer tasks.
Curated research collection on adaptation strategies for agentic AI systems, covering agent and tool adaptation methods with RL, SFT, and DPO approaches
Build hierarchical memory systems for AI agents using GAM (General Agentic Memory) with text, video, and long-horizon trajectory support
Build structured hierarchical memory systems for LLM agents using GAM (General Agentic Memory) with support for text, video, and agent trajectories
Adaptive multi-agent framework for automated data science tasks with planning, execution, and validation
Build AI-driven security operations automation with ASP's agent-centric SIRP, modules, and playbooks
A curated collection of research papers and resources on agentic reasoning for Large Language Models, organized by planning, tool use, search, self-evolution, and multi-agent systems.
Build production-ready multi-agent AI systems with security, observability, and scalability using LangGraph and FastAPI
Integrate the Agentic Commerce Protocol (ACP) for AI-driven commerce between buyers, agents, and businesses
Product Requirement Prompts (PRP) methodology for AI-assisted development with validation loops and autonomous execution
Add persistent learning and self-improvement to AI agents using ACE framework
Bootstrap a fresh Ubuntu VPS into a complete multi-agent AI development environment with safety tools and coordination infrastructure in 30 minutes
Expert knowledge of agentic AI design patterns for autonomous agent development
Implementation guide for 17+ agentic AI architectures using LangChain and LangGraph for building sophisticated AI agents
Build modular Agentic RAG systems with LangGraph, featuring hierarchical indexing, conversation memory, and multi-agent query processing
Chinese translation of Google's Agentic Design Patterns book - 21 core AI agent patterns with examples
Agent-agnostic visual feedback tool for AI coding agents to identify and annotate UI elements with structured selectors
Production-ready AI agent templates for OpenClaw - 205+ SOUL.md configs across 24 categories for autonomous agents
Build and run durable background coding agents with workflow orchestration, isolated sandboxes, and GitHub integration on Vercel.
Enable AI agents to safely make real-world merchant purchases using Snaplii's tokenized gift card payment layer with up to 10% savings.
Self-referential self-improving AI agents that optimize for any computable task using meta-learning and code generation
Use the Data Analysis Agent to perform natural language business analytics, auto-generate SQL queries, create visualizations, and produce business insights from Excel/CSV/databases
Evolutionary self-improvement for Hermes Agent using DSPy + GEPA to optimize skills, prompts, and code
Research collection of reconstructed prompt patterns and architectures for agentic AI coding assistants