local-ai-use-adaptlisted
Install: claude install-skill IgorGanapolsky/mac-yolo-safeguards
# Local AI Use (Adapted from AMD Skills)
## Purpose
Route AI workloads through local models to:
- Reduce token cost (like Grok's $12K-$60K per prompt)
- Improve privacy (no data leaving device)
- Enable offline capability
## Integration with ThumbGate
| AMD Pattern | Our Implementation |
|-------------|-------------------|
| Local AI server | ThumbGate.AgenticMemory |
| Router logic | MCP server: mcp__thumbgate__local_ai |
| Cost reduction | $10/mo Continuity + FREE Leash |
## Usage
```bash
# Check local AI compatibility
nodes/verify-local-ai.sh --check
# Route image gen locally
node tools/local-ai-router.js --image "prompt" --local
# Route TTS locally
node tools/local-ai-router.js --tts "text" --local
```
## Product Mapping
| Workload | Local Option | ThumbGate Integration |
|----------|--------------|----------------------|
| Image Generation | llama.cpp, Ollama | Continuity VPS with GPU passthrough |
| Text-to-Speech | Silero, Coqui | Agentic Memory + TTS MCP |
| Speech-to-Text | Whisper.cpp | Continuity + STT MCP |
## Truth Guardrails
- Local models: FREE (no token cost)
- Continuity VPS: $10/mo (for local server hosting)
- Leash approvals: FREE forever (for local model routing decisions)
- NEVER claim local AI is always faster (depends on hardware)
## Verification Required
- [ ] llama.cpp/ollama installed locally
- [ ] GPU detection script working
- [ ] Continuity VPS configured for local AI
- [ ] MCP server registration successful
## Reference
Adapted fr