runpod-ops

name	runpod-ops
description	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.
allowed-tools	Bash, Read
triggers	["spin up GPU","create RunPod","terminate pod","GPU instance","provision server","check pod status","RunPod management"]
metadata	{"short-description":"RunPod GPU instance management","project-path":"$RUNPOD_OPS_REPO (set via env; defaults to GitHub clone)"}

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"