agent-todos

Manage project and global task backlogs through a standardized file-based directory structure.

112|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/VKirill/claude-lane-stack --skill agent-todos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-todos
Source: https://github.com/VKirill/claude-lane-stack/tree/main/skills/agent-todos
Command: npx skills add https://github.com/VKirill/claude-lane-stack --skill agent-todos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the issue of fragmented, chat-only task tracking by providing a durable, file-based system for managing ideas, technical notes, and project backlogs that persist across different AI sessions.

Core Features & Use Cases

  • Durable Task Tracking: Maintains a consistent folder structure for project todos, ensuring context is never lost between chat sessions.
  • Agent-Ready Documentation: Generates standardized README and AGENT files that allow new AI sessions to immediately understand project history and technical constraints.
  • Use Case: When a user says "запиши идею" during a brainstorming session, the agent creates a structured item folder with technical notes and meta-data, allowing for seamless promotion to a full coding run later.

Quick Start

Ask the agent to create a new todo item for the current project by describing the task you want to capture.

Frequently Asked Questions about agent-todos

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

FAQPage Schema
How do I persist task management backlogs across different AI agent sessions?

You can persist task management backlogs across AI agent sessions by using a file-based directory structure that maintains technical notes and metadata, ensuring cross-session context is never lost.

What is the best way to transition brainstorming ideas into actionable development tasks?

The best way to transition ideas into actionable development tasks is by capturing them in structured item folders with metadata, allowing seamless promotion to a full coding run later.

How do I make project history and technical constraints readable for new AI agents?

To make project history readable for new AI agents, generate standardized README and AGENT files in a consistent file system layout so new sessions can immediately understand technical constraints.

Do I need a specific database or external dependencies for file-based backlog management?

No external dependencies or databases are needed for file-based backlog management. It relies entirely on a consistent file system directory layout to maintain agent-readable task history.

Can I manage both global and project-specific task backlogs using a standardized folder structure?

Yes, you can manage both global and project-specific task backlogs through a standardized file-based directory structure that organizes todos, technical notes, and metadata in English.