Agent skill
runpod-ops
Provision, manage, and terminate RunPod GPU instances for LLM training. Use when user says "spin up GPU", "create RunPod instance", "terminate pod", "check GPU status", "provision training server", or needs cloud GPU resources.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/runpod-ops
Metadata
Additional technical details for this skill
- project path
- $RUNPOD_OPS_REPO (set via env; defaults to GitHub clone)
- short description
- RunPod GPU instance management
SKILL.md
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/runpod-ops/run.sh list-instances
# Create an instance
.agents/skills/runpod-ops/run.sh create-instance 70B --hours 4
# Monitor an instance
.agents/skills/runpod-ops/run.sh monitor <pod-id>
# Terminate an instance
.agents/skills/runpod-ops/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/runpod-ops/run.sh create-instance 70B --hours 4
Returns: pod_id=abc123
### Estimate Cost
```bash
.agents/skills/runpod-ops/run.sh estimate-cost 70B --hours 8
Monitor Instance
.agents/skills/runpod-ops/run.sh monitor <pod-id>
Terminate Instance
.agents/skills/runpod-ops/run.sh terminate <pod-id>
Environment Variables
| Variable | Required | Description |
|---|---|---|
RUNPOD_API_KEY |
Yes | RunPod API key |
Typical Workflow
# 1. Estimate cost
.agents/skills/runpod-ops/run.sh estimate-cost 70B --hours 8
# 2. Create pod
.agents/skills/runpod-ops/run.sh create-instance 70B --hours 8
# 3. Monitor or SSH into pod
.agents/skills/runpod-ops/run.sh monitor <pod-id>
# 4. Run training...
# 5. Terminate when done
.agents/skills/runpod-ops/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"
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