jeo

Orchestrate planning, execution, verification, and cleanup across multiple AI platforms.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/supercent-io/skills-template --skill jeo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jeo
Source: https://github.com/supercent-io/skills-template/tree/main/.agent-skills/jeo
Command: npx skills add https://github.com/supercent-io/skills-template --skill jeo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines complex AI agent tasks by providing a unified, automated workflow that handles planning, execution, verification, and cleanup across multiple AI platforms.

Core Features & Use Cases

  • Unified Orchestration: Integrates Claude Code, Gemini CLI, OpenAI Codex, and OpenCode.
  • Automated Pipelines: Manages Plan → Execute → Verify → Cleanup cycles.
  • Multi-Agent Coordination: Supports parallel execution and team coordination.
  • Interactive UI Feedback: Integrates with agentation for visual UI review and annotation.
  • Use Case: Automate the entire process of developing a new feature, from initial planning and coding to testing and deployment, with minimal human intervention.

Quick Start

Use the jeo skill to execute the task 'Implement user authentication'.

Frequently Asked Questions about jeo

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

FAQPage Schema
How do I orchestrate multi-agent AI workflows across Claude, Gemini, and Codex?

Multi-agent AI workflow orchestration across Claude, Gemini, and Codex is automated by managing planning, execution, verification, and cleanup phases through a unified pipeline. This coordinates parallel execution and team coordination seamlessly.

What is the best way to automate Plan, Execute, Verify, and Cleanup cycles for AI agents?

Automating Plan, Execute, Verify, and Cleanup cycles is handled by orchestrating these phases across multiple AI platforms. The pipeline manages the entire development cycle from initial planning to testing with minimal human intervention.

Does jeo support parallel execution and team coordination for complex AI agent tasks?

Parallel execution and team coordination for complex AI agent tasks are fully supported. The orchestration pipeline manages concurrent multi-agent team coordination alongside automated worktree management during execution.

Can I integrate visual plan review and UI feedback loops into automated AI agent pipelines?

Visual plan review and UI feedback loops integrate into automated AI agent pipelines using plannotator for visual plan annotation and agentation for interactive UI feedback during the orchestration workflow.

Do I need pypdf and pdfplumber dependencies to run multi-agent AI orchestration workflows?

The pypdf, pdfplumber, and pdf2image dependencies are required to run multi-agent AI orchestration workflows. These libraries support the underlying document processing and visual plan review mechanisms within the pipeline.