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fozu-lzwpattern/opc-agent-orchestration

Research

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🏢 OPC (One-Person Company) — Multi-Agent 编排技能,让 AI 成为一人公司的 CEO。基于 OpenClaw 的 sessions_spawn 机制实现多 Agent 协作。

概要

— Turn OpenClaw into the CEO of a one-person company. — 让 OpenClaw 成为一人公司的 CEO。 OPC (One-Person Company) is an OpenClaw skill that turns complex tasks into multi-agent collaboration. You give the goal, the CEO (OpenClaw) breaks it down, hires the right agents, monitors progress, and delivers results. - — CEO reads your background, proposes a plan, waits for confirmation before executing - — Inject top expert mindsets (Kotler, Fowler, Jeff Dean...) into each agent role - — Author's own methodology framework, ready to inject into any agent role - — Survives context compaction; full lifecycle state in state.

README

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🏢 OPC — One-Person Company

Multi-Agent Orchestration Skill — Turn OpenClaw into the CEO of a one-person company.

多 Agent 编排技能 — 让 OpenClaw 成为一人公司的 CEO。

English | 中文


English

What is OPC?

OPC (One-Person Company) is an OpenClaw skill that turns complex tasks into multi-agent collaboration. You give the goal, the CEO (OpenClaw) breaks it down, hires the right agents, monitors progress, and delivers results.

You (Owner) → OpenClaw CEO → Sub-agents (Specialists)

Key Features

  • Phase 0 Context Intake — CEO reads your background, proposes a plan, waits for confirmation before executing
  • Built-in Persona Library — Inject top expert mindsets (Kotler, Fowler, Jeff Dean…) into each agent role
  • LZW Advisor Persona — Author’s own methodology framework, ready to inject into any agent role
  • Project State Persistence — Survives context compaction; full lifecycle state in state.json
  • Checkpoint & Resume — Failed agents resume from last checkpoint, not from scratch
  • Auto Root Cause Analysis — L1-L4 fault classification (platform / orchestration / skill / external)
  • Aware Triggers — Declarative event-driven scheduling (cron / once / interval / on_message)
  • Tool Discovery v2 — domain × capability tag system, precise skill recommendations
  • User Model Evolution — CEO writes back learnings after each project; gets smarter over time

Quick Start

# Install
cd ~/.openclaw/skills
unzip agent-orchestration-v5.0.zip

# Trigger OPC by telling OpenClaw:
# "Help me build a complete [project]"
# "I need [multi-step task] done end-to-end"

Architecture

agent-orchestration-20260309-lzw/
├── SKILL.md              ← Entry point (v5.0)
├── brain/                ← CEO decision layer
│   ├── core-flow.md      ← 4-phase flow + Context Intake
│   ├── task-decomposition.md
│   ├── role-design.md
│   └── collaboration-patterns.md
├── engine/               ← Execution engine
│   ├── project_state.py  ← Project lifecycle state
│   ├── trigger_engine.py ← Aware triggers
│   ├── tool_discovery.py ← Tool discovery (tag system v2)
│   └── diagnose_agent.py ← Auto root cause analysis
└── playbook/             ← Knowledge & templates
    ├── persona-priming.md     ← Persona methodology + library index
    ├── personas/
    │   └── lzw.md             ← Built-in LZW Advisor Persona (v5.0)
    ├── templates/
    └── scenarios/

Persona Priming

Two types of Personas, two design logics:

Type Example How it works
Activation (public figures) Kotler, Fowler, Jeff Dean One-line reference activates LLM’s pre-trained knowledge
Injection (real individuals) LZW (personas/lzw.md) Full methodology doc injected into agent context

New paradigm: You can crystallize your own thinking framework into a Persona and inject it into your agent team.

Real-World Validation

GitHub で README 全文を見る

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インストール

npx skillfish add fozu-lzwpattern/opc-agent-orchestration
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