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...
Dual Brain Skill
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install dannydvm/dual-brainInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
What it does: Provides cognitive diversity by automatically generating perspectives from a secondary LLM (different from your primary model) for every user message.
Before responding to any user message, check for a dual-brain perspective:
cat ~/.dual-brain/perspectives/{your-agent-id}-latest.md
If the file exists and contains a recent perspective (check timestamp in comment), consider it alongside your own reasoning. The perspective may highlight:
Integration:
Example workflow:
~/.dual-brain/perspectives/{agent-id}-latest.md
Setup:
npm install -g openclaw-dual-brain
dual-brain setup # Interactive configuration
dual-brain start # Start daemon
Providers:
ollama - Local models (zero cost, requires Ollama)moonshot - Kimi/Moonshot API (Chinese LLM, fast)openai - GPT-4o, GPT-4-turbo, etc.groq - Fast inference with Llama modelsCommands:
dual-brain setup - Configure provider, model, API keydual-brain start - Run daemon (foreground)dual-brain stop - Stop daemondual-brain status - Check running statusdual-brain logs - View recent activitydual-brain install-daemon - Install as system serviceConfig location: ~/.dual-brain/config.json
Perspectives location: ~/.dual-brain/perspectives/
User Message → OpenClaw Session (JSONL)...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Multi-LLM perspective synthesis for OpenClaw agents.
Give your AI agents cognitive diversity by automatically generating perspectives from a secondary LLM (different from the primary model) on every user message. The primary agent reads both viewpoints before responding — like having two brains instead of one.
Single-model agents have blind spots. Different LLMs have different strengths, training data, and reasoning patterns. By synthesizing perspectives from two models, agents get:
✅ Provider-agnostic - Supports Ollama (local), Moonshot/Kimi, OpenAI, Groq
✅ Zero agent overhead - Background daemon, <1s latency
✅ Plug-and-play - Works with any OpenClaw agent
✅ Engram integration - Optional semantic memory storage
✅ System service - Install as launchd (macOS) or systemd (Linux)
✅ Plain JavaScript - No TypeScript, no build step
┌─────────────┐
│ User Message │
└──────┬──────┘
│
▼
┌───────────────────────┐
│ OpenClaw Session │
│ (~/.openclaw/agents/ │
│ */sessions/*.jsonl) │
└──────┬────────────────┘
│
│ (daemon polls every 10s)
│
▼
┌────────────────────────┐
│ Dual-Brain Daemon │
│ - Detects new messages │
│ - Calls secondary LLM │
└──────┬─────────────────┘
│
▼
┌────────────────────────────┐
│ Secondary LLM Provider │
│ • Ollama (local, free) │
│ • Moonshot/Kimi │
│ • OpenAI (GPT-4o) │
│ • Groq (fast Llama) │
└──────┬─────────────────────┘
│
▼ (2-3 sentence perspective)
│
┌──────────────────────────────┐
│ ~/.dual-brain/perspectives/ │
│ main-latest.md │
│ strategis...
# Dual-Brain Skill
**What it does:** Provides cognitive diversity by automatically generating perspectives from a secondary LLM (different from your primary model) for every user message.
## For Agents
Before responding to any user message, check for a dual-brain perspective:
```bash
cat ~/.dual-brain/perspectives/{your-agent-id}-latest.md
```
If the file exists and contains a recent perspective (check timestamp in comment), consider it alongside your own reasoning. The perspective may highlight:
- Angles you might miss
- Alternative approaches
- Important things to verify
**Integration:**
- Perspectives are generated automatically by a background daemon
- No manual action required on your part
- Simply read the file before forming your response
- Synthesize both viewpoints (yours + the secondary LLM's)
**Example workflow:**
1. User sends message
2. Daemon intercepts, sends to secondary LLM (e.g., Kimi, GPT-4, Llama)
3. Secondary LLM generates 2-3 sentence perspective
4. Written to `~/.dual-brain/perspectives/{agent-id}-latest.md`
5. You (primary agent) read it before responding
6. You synthesize both perspectives into your answer
## For Humans
**Setup:**
```bash
npm install -g openclaw-dual-brain
dual-brain setup # Interactive configuration
dual-brain start # Start daemon
```
**Providers:**
- `ollama` - Local models (zero cost, requires Ollama)
- `moonshot` - Kimi/Moonshot API (Chinese LLM, fast)
- `openai` - GPT-4o, GPT-4-turbo, etc.
- `groq` - Fast inference with Llama models
**Commands:**
- `dual-brain setup` - Configure provider, model, API key
- `dual-brain start` - Run daemon (foreground)
- `dual-brain stop` - Stop daemon
- `dual-brain status` - Check running status
- `dual-brain logs` - View recent activity
- `dual-brain install-daemon` - Install as system service
**Config location:** `~/.dual-brain/config.json`
**Perspectives location:** `~/.dual-brain/perspectives/`
## Architecture
```
User Message → OpenClaw Session (JSONL)...# 🧠 openclaw-dual-brain
**Multi-LLM perspective synthesis for OpenClaw agents.**
Give your AI agents cognitive diversity by automatically generating perspectives from a secondary LLM (different from the primary model) on every user message. The primary agent reads both viewpoints before responding — like having two brains instead of one.
## Why?
**Single-model agents have blind spots.** Different LLMs have different strengths, training data, and reasoning patterns. By synthesizing perspectives from two models, agents get:
- **Broader coverage** - One model catches what the other misses
- **Bias mitigation** - Different training = different biases
- **Quality assurance** - Second opinion validates reasoning
- **Cognitive diversity** - Like pair programming for AI
## Features
✅ **Provider-agnostic** - Supports Ollama (local), Moonshot/Kimi, OpenAI, Groq
✅ **Zero agent overhead** - Background daemon, <1s latency
✅ **Plug-and-play** - Works with any OpenClaw agent
✅ **Engram integration** - Optional semantic memory storage
✅ **System service** - Install as launchd (macOS) or systemd (Linux)
✅ **Plain JavaScript** - No TypeScript, no build step
## Architecture
```
┌─────────────┐
│ User Message │
└──────┬──────┘
│
▼
┌───────────────────────┐
│ OpenClaw Session │
│ (~/.openclaw/agents/ │
│ */sessions/*.jsonl) │
└──────┬────────────────┘
│
│ (daemon polls every 10s)
│
▼
┌────────────────────────┐
│ Dual-Brain Daemon │
│ - Detects new messages │
│ - Calls secondary LLM │
└──────┬─────────────────┘
│
▼
┌────────────────────────────┐
│ Secondary LLM Provider │
│ • Ollama (local, free) │
│ • Moonshot/Kimi │
│ • OpenAI (GPT-4o) │
│ • Groq (fast Llama) │
└──────┬─────────────────────┘
│
▼ (2-3 sentence perspective)
│
┌──────────────────────────────┐
│ ~/.dual-brain/perspectives/ │
│ main-latest.md │
│ strategis...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...
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