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tim-o-private
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tools

Integrate LLM tools with custom front-end and back-end user interfaces.

Updated Apr 28, 2025
Search Tags:#tool integration#developer tools#human-in-the-loop#llm tools#custom ui#assistant ui
One-click install
npx skills add https://github.com/tim-o-private/llm-agent --skill tools-tim-o-private
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tools
Source: https://github.com/tim-o-private/llm-agent/tree/main/.agents/skills/tools
Command: npx skills add https://github.com/tim-o-private/llm-agent --skill tools-tim-o-private

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of integrating LLM tools into applications, enabling custom user interfaces for tool interactions and human-in-the-loop workflows.

Core Features & Use Cases

  • Tool Definition: Create backend or frontend tools with defined parameters and execution logic.
  • Custom UI Rendering: Design bespoke user interfaces for tool calls, displaying progress, results, or confirmation prompts.
  • Human-in-the-Loop: Implement confirmation steps, selections, or form inputs for user-interactive tools.
  • Use Case: Build an AI assistant that can search the web, display search results in a custom card format, and ask the user for confirmation before opening a link.

Quick Start

Use the tools skill to create a backend tool that gets the weather for a specified city.

Frequently Asked Questions about tools

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

FAQPage Schema
How do I integrate LLM tools with custom UI components?▼

Integrate LLM tools with custom UI by defining backend or frontend tools with specific parameters, enabling dynamic UI rendering for tool calls, and displaying progress or results in bespoke interfaces.

Can I add human-in-the-loop confirmations to LLM tool workflows?▼

Yes, you can add human-in-the-loop confirmations by implementing interactive steps for user selections, form inputs, or approval prompts before executing LLM tool actions.

What is the best way to build an AI assistant that asks for user input before running a tool?▼

Build an interactive AI assistant by defining tools that trigger custom UI forms, collecting user input dynamically, and executing deterministic scripts only after receiving explicit confirmation.

Does this approach support rendering custom front-end interfaces for tool calls?▼

Yes, it supports rendering custom front-end interfaces for tool calls, allowing you to design bespoke UI components that display execution progress, search results, or confirmation prompts.

How do I execute deterministic scripts as LLM tools?▼

Execute deterministic scripts by defining backend tools with specific execution logic and parameters, allowing the LLM to trigger reliable, non-probabilistic tasks during an interactive workflow.

When should I use custom UI rendering for LLM tools instead of standard text outputs?▼

Use custom UI rendering when workflows require human-in-the-loop confirmations, structured form inputs, or specialized result displays like custom cards, which standard text outputs cannot adequately provide.

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