hashbrown-dev
Building LLM-powered React applications with the Hashbrown library. Use when the user asks to (1) Build generative UI where LLMs render React components, (2) Add client-side tool calling for LLM-app interaction, (3) Stream LLM responses in React applications, (4) Execute LLM-generated JavaScript safely in a sandbox, (5) Build browser agents or AI-powered UIs with hashbrown, (6) Control React UI from LLM output, (7) Integrate with LLM providers like OpenAI, Anthropic, Google, Azure, Bedrock, or Ollama in React apps, (8) Create chatbots, form builders, predictive text inputs, or multi-threaded conversations with LLMs, (9) Transform natural language to structured data in TypeScript React applications.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Building LLM-powered React applications with the Hashbrown library. Use when the user asks to (1) Build generative UI where LLMs render React components, (2) Add client-side tool calling for LLM-app interaction, (3) Stream LLM responses in React applications, (4) Execute LLM-generated JavaScript safely in a sandbox, (5) Build browser agents or AI-powered UIs with hashbrown, (6) Control React UI from LLM output, (7) Integrate with LLM providers like OpenAI, Anthropic, Google, Azure, Bedrock, or Ollama in React apps, (8) Create chatbots, form builders, predictive text inputs, or multi-threaded conversations with LLMs, (9) Transform natural language to structured data in TypeScript React applications.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-23
- Index updated
- 2026-01-24
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
GitHub ↗chat Comments (0)
Sign in to join the discussion and leave a comment.
No comments yet. Be the first to share your thoughts!