todo

Parse free-form input into pending todo items via TaskCreate and TaskList.

Updated Nov 9, 2025

Search Tags:#planning #todo #task-management #task-creation #parse #natural-language

Ready to run

npx skills add https://github.com/YoniChechik/claude-code-config --skill todo-yonichechik

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: todo
Source: https://github.com/YoniChechik/claude-code-config/tree/main/skills/todo
Command: npx skills add https://github.com/YoniChechik/claude-code-config --skill todo-yonichechik

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill converts free-form user input into a structured list of todo items, enabling quick task creation from notes, chats, or meeting summaries.

Core Features & Use Cases

Parse input into discrete tasks: Splits input on punctuation or natural language to create individual tasks.
Create tasks with default state: Each item is created with status "pending" for immediate follow-up.
Review with TaskList: Provides a consolidated list of created tasks for quick review.

Quick Start

Provide a comma-separated list or natural-language sentence describing tasks to generate; the Skill returns a pending tasks list ready for tracking.

Frequently Asked Questions about todo

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

FAQPage Schema

How do I turn natural language input into organized todo items?▼

To turn natural language input into organized todo items, provide a free-form sentence or comma-separated list. The Skill parses your text and generates a structured list of pending tasks for tracking.

Can I create tasks directly from meeting notes and chat transcripts?▼

Yes, you can create tasks directly from meeting notes and chat transcripts. The Skill works on free-form task descriptions across these sources to generate an organized list of pending items.

How does task creation from free-form text actually work?▼

Task creation from free-form text works by parsing your input on natural language boundaries or punctuation. It uses a workflow to assign a subject, activeForm, and description to each item.

Do I need to format my text before parsing it into discrete tasks?▼

No, you do not need to format your text before parsing it into discrete tasks. The Skill accepts free-form task descriptions and splits the input automatically to create individual pending items.

What is the best way to review a list of pending tasks after parsing?▼

The best way to review a list of pending tasks after parsing is using the TaskList display. It provides a consolidated view of all created items, each set to a pending status for immediate follow-up.