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task

Manage file-backed task lifecycles with validation and status tracking.

3|1|Updated Feb 21, 2026
Search Tags:#automation#workflow#task management#productivity#project tracking#context persistence
One-click install
npx skills add https://github.com/kitaekatt/plugins-kit --skill task-kitaekatt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: task
Source: https://github.com/kitaekatt/plugins-kit/tree/main/plugins/awesome-kit/skills/task
Command: npx skills add https://github.com/kitaekatt/plugins-kit --skill task-kitaekatt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of ephemeral, session-scoped task tracking by providing a durable, file-backed system that persists across sessions, ensuring your work context, priorities, and progress are never lost.

Core Features & Use Cases

  • Durable Lifecycle Management: Create, track, and archive tasks using local file-backed folders that survive session restarts.
  • Contextual Orchestration: Automatically route natural-language requests to specific CLI verbs for task initialization, validation, and status reporting.
  • Use Case: When working on a complex multi-phase project, use this Skill to scaffold a task folder, manage work items in a plan.md file, and maintain a clear audit trail of progress that remains accessible even after closing and reopening your Claude Code session.

Quick Start

Use the task skill to initialize a new task folder named project-alpha in the dev/tasks directory.

Frequently Asked Questions about task

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

FAQPage Schema
How do I persist task management context across Claude Code sessions?▼

Durable task management is achieved by using file-backed task folders that store lifecycles and progress in local project directories. This approach ensures your work context and priorities survive session restarts.

What is the best way to track complex development workflows automatically?▼

The best way to track complex development workflows is with a file-backed system that scaffolds task folders and maintains a plan.md file. This creates a durable audit trail of progress for multi-phase projects.

Do I need a Python virtual environment to run task management CLI commands?▼

Yes, a provisioned Python virtual environment is required to execute the task-system CLI. This environment performs structural validation of task metadata and manages file-backed operations.

How does file-backed task lifecycle management work for project tracking?▼

File-backed task lifecycle management works by routing natural-language requests to specific CLI verbs for initialization, validation, and status reporting. It operates on project-relative folders to maintain consistent progress tracking.

Can I use natural-language requests to orchestrate task initialization and validation?▼

Yes, natural-language requests can orchestrate task initialization and validation. The system automatically routes these requests to specific CLI verbs to manage the task lifecycle.

When should I not use a file-backed task management system for productivity?▼

A file-backed task management system is not suitable if your workflow is strictly ephemeral or session-scoped. It is designed for complex, multi-phase development workflows requiring durable context persistence and an audit trail.

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