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nl-to-tools-mapper

Map natural language input to MCP tool calls and extract user context from JWT.

Updated Jan 2, 2026
Search Tags:#automation#task management#intent recognition#tool chaining#nl mapping#jwt authentication
One-click install
npx skills add https://github.com/Sobansaud/Hackhathon---2 --skill nl-to-tools-mapper-sobansaud
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nl-to-tools-mapper
Source: https://github.com/Sobansaud/Hackhathon---2/tree/main/Phase%204/.claude/skills/nl-to-tools-mapper
Command: npx skills add https://github.com/Sobansaud/Hackhathon---2 --skill nl-to-tools-mapper-sobansaud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill maps natural language user input to MCP tool calls and extracts user context from JWT.

Core Features & Use Cases

  • NL Mapping & Intent Recognition: Convert natural language into tool calls and identify user intent.
  • Parameter Extraction & Validation: Pull relevant details (title, due date, priority) to feed tools.
  • Tool Chaining & Workflows: Support executing multiple tools in sequence for complex tasks.
  • JWT-Based User Context: Use authentication data to personalize responses and enforce user scope.

Quick Start

Use the nl-to-tools-mapper to translate a phrase like "Add task" into add_task, or "List pending" into list_tasks(status="pending"), and demonstrate a simple JWT-authenticated lookup.

Frequently Asked Questions about nl-to-tools-mapper

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

FAQPage Schema
How do I map natural language input to MCP tool calls?▼

To map natural language input to MCP tool calls, this skill uses intent recognition and parameter extraction to translate phrases like 'Add task' into corresponding tool functions such as add_task. It directly routes the translated input to execute the requested automation.

How does JWT authentication context work with natural language tool routing?▼

JWT authentication context works with natural language tool routing by extracting user identity and scope data from the token. This extracted context personalizes the tool execution and enforces user-specific permissions during the MCP tool chaining process.

Can I use natural language commands to execute multi-step tool chains?▼

You can use natural language commands to execute multi-step tool chains by leveraging the skill's tool chaining and workflow capabilities. It identifies complex intents and sequences multiple parameter extraction and routing steps to fulfill the complete task.

What is the best way to extract parameters like due dates and priority from user text for task management?▼

The best way to extract parameters like due dates and priority from user text is through dedicated parameter extraction and validation logic. This skill parses natural language input to pull relevant details and feed them directly into task management tools.

Do I need an OpenAI agent to use JWT-based intent recognition and tool mapping?▼

You need an OpenAI agent to leverage the full JWT-based intent recognition and tool mapping capabilities. The skill is specifically designed to guide an OpenAI agent by structuring the natural language mapping and user-context usage for it.

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