SKILL.md

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"

Score

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