p9

Coordinate multiple AI agents to execute complex project tasks without coding.

1|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/caobingsheng/skills --skill p9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: p9
Source: https://github.com/caobingsheng/skills/tree/main/.claude/skills/p9
Command: npx skills add https://github.com/caobingsheng/skills --skill p9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

P9 helps teams manage complex projects by generating Task Prompts and coordinating multiple AI agents rather than writing code yourself.

Core Features & Use Cases

  • Task Prompts generation (六要素) to clearly define deliverables, roles, inputs, constraints, and success criteria for each work item.
  • P8 agent team orchestration to assign parallel tasks, track progress, and ensure cohesive delivery across 3+ agents.
  • Non-coding project leadership using AI to coordinate strategy, milestones, and risk management.

Quick Start

Activate P9 mode with a project objective and a roster of agents to begin generating task prompts and coordinating the team.

Frequently Asked Questions about p9

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

FAQPage Schema
How do I coordinate multiple AI agents for complex project delivery without coding?

To coordinate multiple AI agents without coding, provide a project objective and agent roster to generate Task Prompts. This orchestrates parallel work streams and cross-functional delivery through established team protocols.

What is the six-element Task Prompt framework for AI agent project management?

The six-element Task Prompt framework clearly defines deliverables, roles, inputs, constraints, and success criteria for each work item. It ensures coordinated outputs when managing parallel tasks across 3 or more AI agents.

When do I need multi-agent task decomposition for project management?

You need multi-agent task decomposition when a project requires parallel work streams and cross-functional delivery with 3 or more agents. It helps manage complex projects by assigning specific tasks and tracking progress across the team.

Can I use non-coding project leadership to manage strategy and risk with AI agents?

Yes, you can use non-coding project leadership to manage strategy, milestones, and risk with AI agents. By generating Task Prompts and coordinating the team, you guide complex project execution without writing code yourself.

What's the best way to assign parallel tasks across cross-functional AI agent teams?

The best way to assign parallel tasks is by using established team protocols to generate Task Prompts for each agent. This ensures cohesive delivery, clear role definition, and tracked progress across 3 or more cross-functional agents.

Does multi-agent coordination work for small projects with fewer than 3 agents?

Multi-agent coordination is specifically designed for scenarios requiring cross-functional delivery with 3 or more agents. For smaller projects with fewer agents, standard single-agent task execution may be more efficient.