td-task-management

Track task lifecycles and persist context across AI agent sessions.

1|Updated Feb 13, 2026

Search Tags:#workflow #developer tools #context management #task management #ai agents #handoff

Ready to run

npx skills add https://github.com/em-jones/staccato-toolkit --skill td-task-management-em-jones

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: td-task-management
Source: https://github.com/em-jones/staccato-toolkit/tree/main/.opencode/skills/td-task-management
Command: npx skills add https://github.com/em-jones/staccato-toolkit --skill td-task-management-em-jones

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides AI agents with a robust system for tracking tasks, logging progress, and maintaining context across sessions, preventing knowledge loss when AI contexts reset.

Core Features & Use Cases

Persistent Task Tracking: Manages task status, priorities, and dependencies.
Context Handoff: Captures detailed state (done, remaining, decisions, uncertainties) for seamless agent-to-agent or session-to-session transitions.
Workflow Management: Supports single-issue focus, multi-issue work sessions, and structured code reviews.
Use Case: An AI developer agent is tasked with implementing a new feature. It uses td to start the issue, log code changes, record design decisions, and then hands off the partially completed work with all necessary context to another agent or a human reviewer.

Quick Start

Start a new session and check the current state of tasks.

Frequently Asked Questions about td-task-management

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

FAQPage Schema

How do I maintain context for AI agents across ephemeral sessions?▼

To maintain context for AI agents across ephemeral sessions, you need persistent task tracking. This Skill logs decisions, tracks work progress, and records done and remaining states to prevent knowledge loss during context resets.

What is structured context handoff for AI developer agents?▼

Structured context handoff for AI developer agents is the process of capturing detailed work states for transitions. This Skill records done items, remaining tasks, decisions, and uncertainties to enable seamless agent-to-agent or session-to-session handoffs.

How do I manage multiple issues in a single AI agent work session?▼

To manage multiple issues in a single AI agent work session, you can use workflow management features. This Skill supports multi-issue session management alongside single-issue focus, allowing agents to track status, priorities, and dependencies concurrently.

Can I use this for structured code reviews with session isolation?▼

Yes, you can use this for structured code reviews with session isolation. The Skill facilitates code review processes by providing workflow management that isolates review sessions, ensuring focused tracking of code changes and design decisions.

What is the best way to track task lifecycles for AI workflows?▼

The best way to track task lifecycles for AI workflows is using a persistent context management system. This Skill manages task status, priorities, and dependencies, enabling agents to log progress and perform structured handoffs effectively.