yolop

Document yolop terminal agent commands, session controls, and sandboxing.

12|Updated May 27, 2026
One-click install
npx skills add https://github.com/everruns/yolop --skill yolop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: yolop
Source: https://github.com/everruns/yolop/tree/main/src/bundled/system-skills/yolop
Command: npx skills add https://github.com/everruns/yolop --skill yolop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of managing terminal-based development workflows by providing a centralized, interactive guide to the yolop agent's capabilities, commands, and session controls.

Core Features & Use Cases

  • Interactive Command Reference: Provides immediate access to slash commands, keyboard shortcuts, and session management tools.
  • Agent Control: Explains how to leverage autonomous features like goal-oriented loops, shell sandboxing, and soft approval policies.
  • Use Case: When you are unsure how to resume a previous session or need to quickly check the available keyboard shortcuts for the task-tree panel, this skill provides the exact syntax and context needed to proceed without leaving the terminal.

Quick Start

Ask the agent to explain how to use the slash commands for managing session status and model selection.

Frequently Asked Questions about yolop

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

FAQPage Schema
How do I manage autonomous coding agent sessions in the terminal?

You can manage autonomous coding agent sessions by using specific slash commands to check session status, resume previous tasks, and select different models directly within your terminal workspace.

What are the keyboard shortcuts for the terminal agent task-tree panel?

The terminal agent task-tree panel uses specific keyboard shortcuts to navigate and control the autonomous workflow, allowing you to manage goal-oriented loops and approve shell actions without leaving the terminal interface.

How does shell sandboxing work for terminal-based development workflows?

Shell sandboxing secures terminal-based development workflows by isolating autonomous task execution within a controlled environment, enabling the agent to run commands safely under soft approval policies.

Can I resume a previous development workspace session with an autonomous agent?

Yes, you can resume a previous development workspace session by issuing the appropriate slash commands, which provide a persistent, context-aware reference to continue your software engineering workflow.

What is the best way to control goal-oriented loops in a CLI coding agent?

The best way to control goal-oriented loops in a CLI coding agent is through interactive command references and session management tools, allowing you to guide autonomous execution and apply soft approval policies.

Do I need to configure soft approval policies for an autonomous terminal agent?

Configuring soft approval policies is necessary for an autonomous terminal agent to manage shell sandboxing, ensuring you can safely oversee and interact with automated task execution in your development workspace.