lightweight-task-workflow

Name: lightweight-task-workflow
Availability: InStock
Author: igoyetche

Manage multi-session task workflows with persistent state files and a state machine.

Updated Mar 3, 2026

Search Tags:#workflow #project management #task management #ai agent #persistence #state machine

Ready to run

npx skills add https://github.com/igoyetche/send-to-kindle --skill lightweight-task-workflow-igoyetche

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lightweight-task-workflow
Source: https://github.com/igoyetche/send-to-kindle/tree/main/.claude/skills/lightweight-task-workflow
Command: npx skills add https://github.com/igoyetche/send-to-kindle --skill lightweight-task-workflow-igoyetche

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust system for managing multi-session tasks, ensuring continuity and progress tracking across different work periods by maintaining task lists, requirements, and session state in dedicated files.

Core Features & Use Cases

Persistent Task Management: Tracks tasks, requirements, and session progress in .claude/ files.
State Machine Workflow: Guides the AI through a defined sequence of states (CHECK_STATUS, WORKING, VERIFY, etc.) for predictable task execution.
Use Case: When working on a complex software feature that spans multiple days, this Skill ensures that the AI remembers exactly where it left off, what needs to be done next, and what verification steps are required, preventing loss of context and rework.

Quick Start

Use the lightweight-task-workflow skill to create a plan for your project.

Frequently Asked Questions about lightweight-task-workflow

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

FAQPage Schema

How do I maintain task context for an AI agent across multiple sessions?▼

To maintain task context for an AI agent across multiple sessions, this Skill uses persistent state files like `tasks.md`, `requirements.md`, and `session.md` to track progress and ensure continuity. It guides the AI through a strict state machine for predictable execution.

What is a state machine workflow for multi-session task management?▼

A state machine workflow for multi-session task management is a defined sequence of states like CHECK_STATUS, WORKING, and VERIFY that guides an AI agent through task execution. This enforces predictable steps and requires verification before completion.

How do I prevent loss of context when working on complex software features over multiple days?▼

To prevent loss of context on complex software features spanning multiple days, this Skill persists task lists and session state in dedicated files. It ensures the AI remembers exactly where it left off and what needs to be done next.

Can I use this task management workflow for complex projects requiring detailed progress tracking?▼

Yes, you can use this task management workflow for complex projects requiring continuity and detailed progress tracking. It maintains persistent state in `.claude/` files to track requirements and session progress across different work periods.

Do I need any external dependencies to run this persistent task workflow?▼

No, you do not need any external dependencies to run this persistent task workflow. The Skill operates independently by storing task lists, requirements, and session state directly in local files.

What is the best way to verify task completion when using an AI state machine?▼

The best way to verify task completion using an AI state machine is to enforce a dedicated VERIFY state. This Skill mandates verification steps within its workflow sequence before allowing a task to be marked as complete.