work-session

Coordinate multi-task AI development sessions with configurable human checkpoints.

8|2|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/srstomp/pokayokay --skill work-session
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: work-session
Source: https://github.com/srstomp/pokayokay/tree/main/plugins/pokayokay/skills/work-session
Command: npx skills add https://github.com/srstomp/pokayokay --skill work-session

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Work Session skill addresses the complexity of coordinating AI-assisted development across multiple agents and sessions, ensuring coherent context, controllable human checkpoints, and continuity between tasks.

Core Features & Use Cases

  • Fresh task context via subagent dispatch to prevent context bleed between tasks.
  • Configurable checkpoint modes (supervised, semi-auto, auto, unattended) for precise human oversight.
  • Session continuity across conversations via MCP and ohno integration.
  • Smart worktree and isolation decisions based on task type to optimize productivity.

Quick Start

Initialize the MCP by running npx pokayokay and start a supervised work session.

Frequently Asked Questions about work-session

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

FAQPage Schema
How do I orchestrate AI work sessions with human checkpoints?▼

To coordinate AI-assisted development across multiple agents, you can use configurable checkpoint modes like supervised, semi-auto, auto, and unattended, ensuring coherent context and continuity between tasks.

What is the best way to prevent context bleed between AI development tasks?▼

The best way to prevent context bleed between tasks is by dispatching subagents to establish fresh task context, isolating multi-task execution while preserving session continuity.

How do I maintain session continuity across AI conversations?▼

You can maintain session continuity across AI conversations by integrating MCP and ohno to coordinate subagents, preserving context and ensuring safe handoffs across multiple tasks.

Can I configure unattended execution modes for AI-assisted development?▼

Yes, you can configure unattended execution modes for AI-assisted development, alongside supervised, semi-auto, and auto modes, allowing precise human oversight and governance for multi-task workflows.

When do I need worktree isolation for AI agent workflows?▼

You need worktree isolation for AI agent workflows when making smart decisions based on task type, optimizing productivity while ensuring safe progression and isolation during complex multi-task sessions.

How to start a supervised work session with MCP integration?▼

To start a supervised work session with MCP integration, initialize the MCP by running npx pokayokay, setting up the environment to coordinate subagents and apply configurable governance checkpoints.