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aishwaryanr/agent-native-operator

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Skills, identity files, and workshop materials for the Agent-Native Operator Bootcamp by LevelUp Labs

概览

The skills, subagents, and identity files for the by LevelUp Labs. This repo bundles everything you need to follow along with the workshop. Pre-work walks you through standing up OpenClaw on a VPS; the workshop installs everything in this repo on top. Read prework/README.md. It walks you through: 1. Getting an LLM API key 2. Deploying OpenClaw on a Hostinger VPS 3. Running the security check 4. Naming your Claw If you hit issues, the troubleshooting section in the pre-work guide covers the common ones. The workshop content (identity files, skills, sub-agents, demo papers) needs to land in your OpenClaw workspace. Two paths produce the same result: Once OpenClaw is running, paste this into your web chat: Pull the workshop content from github.com/levelup-labs-ai/agent-native-operator into my workspace. Copy the identity files (SOUL.md, USER.md, AGENTS.md), all the skills under skills/, the sub-agents under agents/, and the demo papers under wiki/raw/. Seed an empty feedback.

README

以下为原文 README 节选,完整内容请查看原文。

Agent-Native Operator

The skills, subagents, and identity files for the Agent-Native Operator Bootcamp by LevelUp Labs.

This repo bundles everything you need to follow along with the workshop. Pre-work walks you through standing up OpenClaw on a VPS; the workshop installs everything in this repo on top.


What’s inside

agent-native-operator/
├── prework/                 Read this before the workshop
│   ├── README.md            Setup walkthrough (~45-60 min)
│   └── security_check.md    Detailed security checks the bot reads
│
├── identity/                Installed during the workshop
│   ├── SOUL.md              Chief of Staff persona (name-agnostic)
│   ├── USER.md              Template — fill in during the workshop
│   └── AGENTS.md            Operating manual
│
├── skills/                  Installed during the workshop
│   ├── daily_brief/         The capstone automation
│   ├── skill_review/        Weekly heartbeat that improves your skills
│   └── build-it/            Meta-skill — scaffolds new automations
│
├── agents/                  Named subagents
│   └── research_worker/     Parallel research worker
│
├── slides/                  Lecture content (for reference)
│   ├── lecture_1.md
│   └── lecture_2.md
│
├── worksheets/              Co-working session worksheets
│   ├── coworking_1.md
│   └── coworking_2.md
│
├── install.sh               Run this during the workshop
└── README.md                You are here

Pre-workshop (do this BEFORE Saturday)

Read prework/README.md. It walks you through:

  1. Getting an LLM API key
  2. Deploying OpenClaw on a Hostinger VPS
  3. Running the security check
  4. Naming your Claw

Estimated time: 45-60 minutes. If you hit issues, the troubleshooting section in the pre-work guide covers the common ones.


During the workshop

The workshop content (identity files, skills, sub-agents, demo papers) needs to land in your OpenClaw workspace. Two paths produce the same result:

Primary path — conversational install. Once OpenClaw is running, paste this into your web chat:

Pull the workshop content from github.com/levelup-labs-ai/agent-native-operator into my workspace. Copy the identity files (SOUL.md, USER.md, AGENTS.md), all the skills under skills/, the sub-agents under agents/, and the demo papers under wiki/raw/. Seed an empty feedback.md alongside each skill. Confirm what was installed when you’re done.

Your Claw pulls the repo, places the files correctly, and reports back. This is the recommended path because it teaches the conversational mode you’ll use for the rest of the workshop.

Fallback path — install.sh. If you’d rather run a script, clone the repo onto your VPS and run install.sh:

git clone https://github.com/levelup-labs-ai/agent-native-operator.git
cd agent-native-operator
./install.sh

After install (either path):

在 GitHub 查看完整 README

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安装

npx skillfish add aishwaryanr/agent-native-operator
新手?先看 mcpskill.org 教程 →