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nl-to-tools-mapper

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

Updated Jan 2, 2026
Search Tags:#automation#jwt#nlp#tool-mapping#intent-recognition#tool-chain
One-click install
npx skills add https://github.com/omerspac/advanced-to-do-app --skill nl-to-tools-mapper-omerspac
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nl-to-tools-mapper
Source: https://github.com/omerspac/advanced-to-do-app/tree/main/Phase-3/.claude/skills/nl-to-tools-mapper
Command: npx skills add https://github.com/omerspac/advanced-to-do-app --skill nl-to-tools-mapper-omerspac

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bridge natural language user input to MCP tool calls and retrieve user context from JWT to enable authenticated task automation.

Core Features & Use Cases

  • NL Mapping: Convert natural language to tool calls.
  • Intent Recognition: Identify user intent (add, list, complete, delete, update).
  • Parameter Extraction: Pull relevant details from user input.
  • Tool Chaining: Execute multiple tools in sequence.
  • User Context: Extract and use JWT claims for personalized responses. Use cases include configuring agent instructions for tool mapping, building natural language understanding for task commands, and implementing multi-step tool chains with identity awareness.

Quick Start

Instruct the agent to map "Add task" to the add_task tool and extract the user email from a JWT.

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?▼

Natural language input is mapped to MCP tool calls by recognizing user intent, extracting relevant parameters from the text, and configuring agent instructions to trigger specific task management actions.

Can I execute multiple tool calls in sequence from a single natural language request?▼

Yes, tool chaining allows you to execute multiple tools in sequence from a single request. The mapper identifies the necessary steps and automates the workflow across simple and multi-step tasks.

How does intent recognition work for automating task management commands?▼

Intent recognition identifies the user's desired action, such as add, list, complete, delete, or update. It processes the natural language command to trigger the corresponding task management tool.

How do I extract user context from JWT for personalized automated responses?▼

User context is extracted from JWT claims to drive identity-aware responses. The mapper securely parses the token to retrieve details like user email, enabling personalized task automation.

What is the best way to configure agent instructions for natural language understanding?▼

Configuring agent instructions involves defining the mapping between natural language phrases and specific tools. You instruct the agent to parse user input, extract parameters, and execute the target tool.

Does this natural language to tool mapper require external dependencies to function?▼

No external dependencies are required to function. The mapper operates as a standalone skill, relying solely on the provided natural language input and JWT context to execute MCP tool calls.

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