bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Spawn a new OpenClaw agent through conversation. Uses official Docker setup and non-interactive onboarding, carries over API keys, tools, plugins, and skills from the current agent. User answers 2-3 questions. Use when the user wants to create, spin up, deploy, or provision a new OpenClaw agent.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install austineral/agent-spawnerExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Deploy a new OpenClaw agent conversationally. Official install, carry over config from the current agent. User never edits a file.
cat ~/.openclaw/openclaw.json
cat ~/.openclaw/.env 2>/dev/null
env | grep -iE 'API_KEY|TOKEN'
ls ~/.openclaw/extensions/
ls <workspace>/skills/
Identify:
auth.profiles in config — could be Anthropic, OpenAI, Gemini, custom, etc.ANTHROPIC_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY)agents.defaults.model
tools.* (search APIs, etc.)plugins.installs — names and npm specsopenclaw skills list to see what's bundled vs workspace-only. Only carry over non-bundled skills.Don't ask about keys, plugins, skills, ports, or config. Carry everything over, use defaults.
After gathering answers, present the full plan before doing anything. Show everything in one summary:
Here's the plan:
📦 Deploy: Docker on <target>
📛 Name: <agent-name>
🌐 Port: <port>
Carrying over from current agent:
✅ Provider: Anthropic (API key)
✅ Model: anthropic/claude-sonnet-4-20250514
✅ Brave Search API key
✅ Plugins: openclaw-agent-reach
✅ Skills: agent-spawner, weather
✅ Heartbeat: 30m
The new agent will bootstrap its own identity on first message.
Good to go?
Only list items that actually exist. Wait for explicit confirmation before proceeding. If the user wants changes, adjust and re-confirm.
git clone https://github.com/openclaw/openclaw.git <agent-name>
cd <agent-name>
Set env and run non-interactive onboard. Match the provider detected in...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Agent Spawner Deploy a new OpenClaw agent conversationally. Official install, carry over config from the current agent. User never edits a file. ## 1. Read Current Config (silent) ```bash cat ~/.openclaw/openclaw.json cat ~/.openclaw/.env 2>/dev/null env | grep -iE 'API_KEY|TOKEN' ls ~/.openclaw/extensions/ ls <workspace>/skills/ ``` Identify: - **Provider**: check `auth.profiles` in config — could be Anthropic, OpenAI, Gemini, custom, etc. - **API key**: from env var or config (e.g. `ANTHROPIC_API_KEY`, `GEMINI_API_KEY`, `OPENAI_API_KEY`) - **Model**: from `agents.defaults.model` - **Tool keys**: anything in `tools.*` (search APIs, etc.) - **Plugins**: `plugins.installs` — names and npm specs - **Skills**: run `openclaw skills list` to see what's bundled vs workspace-only. Only carry over non-bundled skills. ## 2. Ask 1. **"Where should I deploy it?"** — Docker (local or remote SSH) or bare metal? 2. **"Name?"** — for container. Generate one if they don't care. 3. **"Anything special?"** — purpose, constraints. Optional. Don't ask about keys, plugins, skills, ports, or config. Carry everything over, use defaults. ## 3. Confirm Plan After gathering answers, present the full plan before doing anything. Show everything in one summary: ``` Here's the plan: 📦 Deploy: Docker on <target> 📛 Name: <agent-name> 🌐 Port: <port> Carrying over from current agent: ✅ Provider: Anthropic (API key) ✅ Model: anthropic/claude-sonnet-4-20250514 ✅ Brave Search API key ✅ Plugins: openclaw-agent-reach ✅ Skills: agent-spawner, weather ✅ Heartbeat: 30m The new agent will bootstrap its own identity on first message. Good to go? ``` Only list items that actually exist. Wait for explicit confirmation before proceeding. If the user wants changes, adjust and re-confirm. ## 4. Deploy ### Docker ```bash git clone https://github.com/openclaw/openclaw.git <agent-name> cd <agent-name> ``` Set env and run non-interactive onboard. Match the provider detected in...
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.