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Found 285 Skills
Build AI agents with in-process agent loops using Anthropic or OpenAI APIs, custom tools, MCP servers, and multi-turn conversations
Build production-ready multi-agent AI systems with security, observability, and scalability using LangGraph and FastAPI
Install and use World2Agent (W2A) sensors to give AI agents structured, real-time perception of the real world
Build and run durable background coding agents with workflow orchestration, isolated sandboxes, and GitHub integration on Vercel.
Create, update, and repair local Shiplight YAML E2E tests. Use for Shiplight test projects, including project setup, specs, environments, auth fixtures, YAML implementation, validation, and test maintenance.
Search and analyze Oodle traces by service, operation, duration, and error status.
Create and manage Oodle synthetic monitors — HTTP and TCP health checks with assertions and configurable intervals.
Create and manage Oodle metric drop rules — reduce ingestion cost by dropping or sampling high-volume, low-value metrics.
Curated research collection on adaptation strategies for agentic AI systems, covering agent and tool adaptation methods with RL, SFT, and DPO approaches
Integrate the Agentic Commerce Protocol (ACP) for AI-driven commerce between buyers, agents, and businesses
Configure and use ktx to build an executable context layer for AI agents querying data warehouses with semantic layers, wiki knowledge, and approved metrics
Context layer for AI data agents - query warehouses accurately with semantic layers, metrics, and wiki knowledge through MCP