{"product_id":"build-ai-agents-with-convex-enhance-your-claude-code","title":"Build AI Agents with Convex: Enhance Your Claude Code","description":"\u003ch3\u003eBuild AI Agents with Convex: Enhance Your Claude Code\u003c\/h3\u003e\n\n\u003cp\u003e\nThis AI agent skill helps developers build AI agents using the Convex agent component, integrating seamlessly with platforms such as Claude Code, Cursor, and Codex. It facilitates creating threads, handling messages, implementing tool-calling features, and structuring workflows with multi-step job capabilities.\n\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\n\u003cul\u003e\n  \u003cli\u003eCreates chat or tool-calling agents backed by \u003ccode\u003e@convex-dev\/agent\u003c\/code\u003e with conversation history stored in Convex.\u003c\/li\u003e\n  \u003cli\u003eProvides a reactive message list interface for user interactions.\u003c\/li\u003e\n  \u003cli\u003eSupports queries and mutations as tools for LLMs (Large Language Models).\u003c\/li\u003e\n  \u003cli\u003eUtilizes retrieval augmented generation (RAG) with vector search for document-based querying.\u003c\/li\u003e\n  \u003cli\u003eChains series of LLM steps into durable workflows that withstand system restarts.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\n\u003cp\u003e\nThis skill is ideal for developers and technical teams engaged in building or enhancing applications with AI capabilities. It caters to those who are implementing Claude Code, Cursor, Codex, or similar AI coding environments and require robust agent-based systems.\n\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\n\u003cul\u003e\n  \u003cli\u003eAdding a chat assistant with a persistent conversation history for enhanced user support.\u003c\/li\u003e\n  \u003cli\u003eEnabling AI models to leverage internal query and mutation tools effectively.\u003c\/li\u003e\n  \u003cli\u003eStreaming model responses to multiple clients in real-time.\u003c\/li\u003e\n  \u003cli\u003eAnswering complex queries using your own document sets through RAG.\u003c\/li\u003e\n  \u003cli\u003eCreating complex, multi-step jobs that remain active across application restarts.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\n\u003cul\u003e\n  \u003cli\u003eInstall packages: \u003ccode\u003e@convex-dev\/agent\u003c\/code\u003e, \u003ccode\u003eai\u003c\/code\u003e, \u003ccode\u003e@ai-sdk\/openai\u003c\/code\u003e, and \u003ccode\u003ezod\u003c\/code\u003e.\u003c\/li\u003e\n  \u003cli\u003eConfigure Convex projects with \u003ccode\u003econvex\/convex.config.ts\u003c\/code\u003e and integrate the agent component.\u003c\/li\u003e\n  \u003cli\u003eLeverage OpenAI API for model functionalities by setting up and registering your API key.\u003c\/li\u003e\n  \u003cli\u003eInitialization through command-line: \u003ccode\u003enpx convex dev\u003c\/code\u003e and code setup in \u003ccode\u003econvex\/agent.ts\u003c\/code\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003ewaynesutton\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/waynesutton\/builder-skills\" rel=\"nofollow noopener\" target=\"_blank\"\u003ewaynesutton\/builder-skills\u003c\/a\u003e) and distributed under \u003cstrong\u003eApache-2.0\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53058698641719,"sku":"MCP-WAYNESUTTON-BUILDER-SKILLS-CONVEX-AGENTS","price":58.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/UGeDQU-GD_VY2kyvhA9N6_3066a280af344e6a8012e7c7c2120ccd.jpg?v=1790586202","url":"https:\/\/mcpcart.com\/products\/build-ai-agents-with-convex-enhance-your-claude-code","provider":"SPF PRO","version":"1.0","type":"link"}