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ItsKumailHere
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voice-todo-cli-builder

Build a voice-enabled CLI todo app with SpeechRecognition and JSON storage.

Updated Jan 1, 2026
Search Tags:#CLI#voice#Python#todo#parsing#storage#SpeechRecognition
One-click install
npx skills add https://github.com/ItsKumailHere/taskdotdo --skill voice-todo-cli-builder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: voice-todo-cli-builder
Source: https://github.com/ItsKumailHere/taskdotdo/tree/main/.qwen/skills/voice-todo-cli
Command: npx skills add https://github.com/ItsKumailHere/taskdotdo --skill voice-todo-cli-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables developers and product teams to build voice-enabled CLI to-do applications, allowing hands-free task management and streamlined interaction with a text-based interface.

Core Features & Use Cases

  • Voice input via SpeechRecognition for hands-free task management in a CLI.
  • No Large Language Model required; command parsing uses robust regex-based extraction for add, delete, mark, list, and update.
  • Persistent storage of tasks in a JSON file located at ~/.todo-app/tasks.json with atomic writes and simple ID-based retrieval.
  • Use Case: Create a new to-do by voice with "add buy groceries", list tasks, update a task name, or mark a task as complete using voice. The system supports both voice and typed input as fallback.

Quick Start

Install the voice-enabled CLI using the provided installation script, run the app, and issue commands such as "add finish project report" or "list tasks".

Frequently Asked Questions about voice-todo-cli-builder

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

FAQPage Schema
How do I build a voice-enabled CLI todo app in Python?▼

Build a voice-enabled CLI todo app in Python by using the SpeechRecognition library to capture spoken commands and parsing them with regex to add, delete, list, update, and mark tasks, operating entirely without an LLM.

Can I manage tasks via voice input without relying on a large language model?▼

Yes, you can manage tasks via voice input without an LLM by using SpeechRecognition for audio capture and regex-based extraction to parse commands, avoiding LLM overhead while supporting standard todo operations.

How do I set up persistent JSON storage for a Python CLI todo application?▼

Set up persistent JSON storage for a Python CLI todo application by saving tasks to ~/.todo-app/tasks.json, using atomic writes to ensure data integrity during add, delete, and update operations via ID-based retrieval.

Does voice command parsing for CLI apps require complex natural language processing?▼

Voice command parsing for CLI apps does not require complex NLP when using regex-based extraction, effectively mapping voice inputs to task management commands like add, list, and update without a large language model.

What is the fallback mechanism for a voice CLI todo app when speech recognition fails?▼

The fallback mechanism for a voice CLI todo app when speech recognition fails is typed input, supporting both voice and typed commands interchangeably to ensure task management operations remain uninterrupted.

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