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Found 64 Skills
Build browser automation scripts using the Kernel TypeScript SDK with Playwright, CDP, and remote browser management.
Use when creating, modifying, or testing AI Agents built with the Inkeep TypeScript SDK (@inkeep/agents-sdk).
Use the @contextvm/sdk TypeScript SDK effectively. Reference for core interfaces, signers, relay handlers, transports, encryption, logging, and SDK patterns. Use when implementing SDK components, extending interfaces, configuring transports, or debugging SDK usage.
Integrate Portkey AI Gateway into TypeScript/JavaScript applications. Use when building LLM apps with observability, caching, fallbacks, load balancing, or routing across 200+ LLM providers.
Complete reference for integrating with 300+ AI models through the OpenRouter TypeScript SDK using the callModel pattern
Tinybird TypeScript SDK for defining datasources, pipes, and queries with full type inference. Use when working with @tinybirdco/sdk, TypeScript Tinybird projects, or type-safe data ingestion and queries.
Guides usage of @aptos-labs/ts-sdk for interacting with the Aptos blockchain from TypeScript/JavaScript applications. Covers client setup, account management, transaction building & submission, view functions, event queries, coin/token operations, wallet adapter integration, and error handling. Triggers on: 'typescript sdk', 'ts-sdk', 'aptos sdk', 'aptos client', 'sdk setup', 'interact with contract', 'call aptos', 'aptos javascript', 'frontend integration', 'wallet adapter', 'connect wallet'.
Use when an existing agent needs Prefactor resources created via the Prefactor CLI before SDK instrumentation is added.
Use when building a custom provider integration on top of @prefactor/core so your app can instrument agent, llm, and tool workflows without relying on a prebuilt adapter package.
Use when choosing which Prefactor SDK skill to load for agent instrumentation or for building a custom provider integration on top of @prefactor/core.
Use when an existing agent already works without Prefactor and you need to add tracing for runs, llm calls, tool calls, and failures with minimal behavior changes.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).