·deepagents-planning-todos
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deepagents-planning-todos

Use the write_todos tool effectively for task planning and decomposition in Deep Agents. Use when users want to (1) implement task planning with write_todos, (2) break down complex tasks into subtasks, (3) track agent progress through todos, (4) debug why todos aren't completing, (5) design todo structures for different task types (research, coding, analysis), (6) understand todo status lifecycle and best practices, or (7) visualize todo progression from LangSmith traces.

9Installs·2Trend·@lubu-labs

Installation

$npx skills add https://github.com/lubu-labs/langchain-agent-skills --skill deepagents-planning-todos

How to Install deepagents-planning-todos

Quickly install deepagents-planning-todos AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/lubu-labs/langchain-agent-skills --skill deepagents-planning-todos
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: lubu-labs/langchain-agent-skills.

SKILL.md

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Master the writetodos tool for effective task planning and decomposition in Deep Agents.

| ✅ Complex multi-step tasks (3-6 steps) | ✅ Simple 1-2 step queries | | ✅ Tasks requiring user approval first | ✅ Single tool calls | | ✅ Long-running workflows needing progress tracking | ✅ Quick information lookups | | ✅ Tasks where planning adds clarity | ✅ Straightforward API calls |

Decision rule: If you'd benefit from showing the user "Here's my plan..." before starting, use writetodos.

Use the write_todos tool effectively for task planning and decomposition in Deep Agents. Use when users want to (1) implement task planning with write_todos, (2) break down complex tasks into subtasks, (3) track agent progress through todos, (4) debug why todos aren't completing, (5) design todo structures for different task types (research, coding, analysis), (6) understand todo status lifecycle and best practices, or (7) visualize todo progression from LangSmith traces. Source: lubu-labs/langchain-agent-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/lubu-labs/langchain-agent-skills --skill deepagents-planning-todos
Category
>_Productivity
Verified
First Seen
2026-02-24
Updated
2026-03-10

Browse more skills from lubu-labs/langchain-agent-skills

Quick answers

What is deepagents-planning-todos?

Use the write_todos tool effectively for task planning and decomposition in Deep Agents. Use when users want to (1) implement task planning with write_todos, (2) break down complex tasks into subtasks, (3) track agent progress through todos, (4) debug why todos aren't completing, (5) design todo structures for different task types (research, coding, analysis), (6) understand todo status lifecycle and best practices, or (7) visualize todo progression from LangSmith traces. Source: lubu-labs/langchain-agent-skills.

How do I install deepagents-planning-todos?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lubu-labs/langchain-agent-skills --skill deepagents-planning-todos Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/lubu-labs/langchain-agent-skills