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.