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Build AI Agents with Convex: Enhance Your Claude Code

Build AI Agents with Convex: Enhance Your Claude Code

Regular price £58.99
Regular price £58.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
Build AI Agents with Convex: Enhance Your Claude Code

Build AI Agents with Convex: Enhance Your Claude Code

Regular price £58.99
Regular price £58.99 Sale price
SAVE Sold out

Build AI Agents with Convex: Enhance Your Claude Code

This 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.

What this skill does

  • Creates chat or tool-calling agents backed by @convex-dev/agent with conversation history stored in Convex.
  • Provides a reactive message list interface for user interactions.
  • Supports queries and mutations as tools for LLMs (Large Language Models).
  • Utilizes retrieval augmented generation (RAG) with vector search for document-based querying.
  • Chains series of LLM steps into durable workflows that withstand system restarts.

Who it is for

This 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.

Use cases

  • Adding a chat assistant with a persistent conversation history for enhanced user support.
  • Enabling AI models to leverage internal query and mutation tools effectively.
  • Streaming model responses to multiple clients in real-time.
  • Answering complex queries using your own document sets through RAG.
  • Creating complex, multi-step jobs that remain active across application restarts.

Technical details

  • Install packages: @convex-dev/agent, ai, @ai-sdk/openai, and zod.
  • Configure Convex projects with convex/convex.config.ts and integrate the agent component.
  • Leverage OpenAI API for model functionalities by setting up and registering your API key.
  • Initialization through command-line: npx convex dev and code setup in convex/agent.ts.

Source & Licence

This package is built on open-source work published by waynesutton (waynesutton/builder-skills) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal 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.

Your 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.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This 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.

Claude, 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.

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