ai-code-mode

Execute LLM-generated TypeScript in sandboxed Node, QuickJS, or Cloudflare isolates.

3.0k|295|Updated Oct 8, 2025
One-click install
npx skills add https://github.com/TanStack/ai --skill ai-code-mode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-code-mode
Source: https://github.com/TanStack/ai/tree/main/packages/typescript/ai-code-mode/skills/ai-code-mode
Command: npx skills add https://github.com/TanStack/ai --skill ai-code-mode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill bridges language models and sandboxed TypeScript so assistants can deterministically execute code without exposing secrets or unstable runtime contexts.

Core Features & Use Cases

  • Multi-driver execution: createCodeModeTool supports Node, QuickJS, and Cloudflare isolates with configurable timeouts, memory limits, and platform-specific considerations.
  • Persistent skill libraries: codeModeWithSkills manages trust strategies and storage backends so reusable snippets become callable tools backed by tool registries.
  • Observability and integration: Custom events such as code_mode:execution_started, code_mode:skill_call, and skill:registered enable client-side progress displays inside chat experiences.

Quick Start

Use ai-code-mode to wire a createCodeMode tool with your preferred isolate driver and run TypeScript logic from chat messages.

Frequently Asked Questions about ai-code-mode

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I safely execute LLM-generated TypeScript in a chat application?

Safely execute LLM-generated TypeScript by routing it through sandboxed isolate drivers with configurable timeouts and memory limits, preventing exposure of secrets or unstable runtime contexts. This approach automates deterministic code execution directly from chat messages.

Does this sandboxed TypeScript execution tool support Cloudflare isolates and QuickJS?

Yes, sandboxed TypeScript execution supports Node, QuickJS, and Cloudflare isolates. The multi-driver execution environment handles platform-specific considerations and applies configurable timeouts and memory limits for each runtime.

How do I track TypeScript code execution progress in a chat interface?

Track code execution progress by listening to custom events like code_mode:execution_started, code_mode:skill_call, and skill:registered. These events enable client-side progress displays and observability directly within TypeScript chat experiences.

What is the best way to manage reusable TypeScript snippets created by an LLM?

Manage reusable TypeScript snippets by using persistent skill libraries with configurable trust strategies and storage backends. This transforms generated snippets into callable tools backed by a tool registry for future deterministic execution.

Can I run tool calling alongside sandboxed TypeScript code execution?

Yes, tool calling runs alongside sandboxed TypeScript execution. The environment coordinates Node, QuickJS, or Cloudflare isolates with tool definitions and custom event tracking to persist skills and surface progress without leaking secrets.