Agent Capability Analysis
The build-and-deploy skill by rebyteai-template is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.
Ideal Agent Persona
Perfect for LangChain Agents needing streamlined deployment to Vercel with vector store integration.
Core Value
Empowers agents to deploy LangChain retrieval tools powered by LangGraph, Supabase vector store, and the Vercel AI SDK, ensuring seamless integration and efficient deployment using `vercel build --prod` and `vercel deploy --prebuilt --prod` commands.
↓ Capabilities Granted for build-and-deploy
! Prerequisites & Limits
- Requires Vercel account and project setup
- Must use `vercel build --prod` and `vercel deploy --prebuilt --prod` for successful deployment
- Git author permission issues may arise in VM environments if not using recommended commands
Browser Sandbox Environment
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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
build-and-deploy
Install build-and-deploy, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is build-and-deploy?
Perfect for LangChain Agents needing streamlined deployment to Vercel with vector store integration. LangChain.js agent with retrieval tool powered by LangGraph, Supabase vector store, and the Vercel AI SDK
How do I install build-and-deploy?
Run the command: npx killer-skills add rebyteai-template/langchain-retrieval-agent/build-and-deploy. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for build-and-deploy?
Key use cases include: Deploying LangChain retrieval agents to Vercel for production environments, Configuring environment variables for secure deployment, Integrating Supabase vector store for efficient data retrieval.
Which IDEs are compatible with build-and-deploy?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for build-and-deploy?
Requires Vercel account and project setup. Must use `vercel build --prod` and `vercel deploy --prebuilt --prod` for successful deployment. Git author permission issues may arise in VM environments if not using recommended commands.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add rebyteai-template/langchain-retrieval-agent/build-and-deploy. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use build-and-deploy immediately in the current project.