微信扫一扫RunPod Operations Skill
Manage RunPod GPU instances for LLM training and inference.
Self-contained skill - auto-installs via uv run from git (no pre-installation needed).
Quick Start
# Via wrapper (auto-installs from GitHub on demand)
.agents/skills/ops-runpod/run.sh list-instances
# Create an instance
.agents/skills/ops-runpod/run.sh create-instance 70B --hours 4
# Monitor an instance
.agents/skills/ops-runpod/run.sh monitor <pod-id>
# Terminate an instance
.agents/skills/ops-runpod/run.sh terminate <pod-id>
Commands
| Command | Purpose |
|---------|---------|
| create-instance | Create GPU pod optimized for model size |
| list-instances | Show all running pods with status/cost |
| monitor | Live monitoring of pod metrics |
| terminate | Safely terminate a pod |
| estimate-cost | Estimate training cost before creating |
| optimize | Find optimal GPU config using benchmarks |
| start-training | Start a training job on RunPod |
| serve | Start inference server on RunPod |
Examples
Create Instance
.agents/skills/ops-runpod/run.sh create-instance 70B --hours 4
Returns: pod_id=abc123
### Estimate Cost
```bash
.agents/skills/ops-runpod/run.sh estimate-cost 70B --hours 8
Monitor Instance
.agents/skills/ops-runpod/run.sh monitor <pod-id>
Terminate Instance
.agents/skills/ops-runpod/run.sh terminate <pod-id>
Environment Variables
| Variable | Required | Description |
|----------|----------|-------------|
| RUNPOD_API_KEY | Yes | RunPod API key |
Typical Workflow
# 1. Estimate cost
.agents/skills/ops-runpod/run.sh estimate-cost 70B --hours 8
# 2. Create pod
.agents/skills/ops-runpod/run.sh create-instance 70B --hours 8
# 3. Monitor or SSH into pod
.agents/skills/ops-runpod/run.sh monitor <pod-id>
# 4. Run training...
# 5. Terminate when done
.agents/skills/ops-runpod/run.sh terminate <pod-id>
Integration with Memory
After training completes, log the lesson:
memory-agent learn \
--problem "Training Qwen3-70B on RunPod" \
--solution "Used A100-80GB, 8 hours, cost $24.72. Config: lr=2e-5, batch=4"