xprof-profiling-analysis

Primatrix Skills Plugin Marketplace

A Claude Code plugin marketplace containing reusable Agent Skills. Also compatible with Codex and Gemini CLI.

What is a Skill?

A Skill is a set of structured instructions (defined in a SKILL.md file) that teaches an AI coding agent how to perform a specific workflow. When installed, the agent loads relevant skills based on your request, giving it domain-specific knowledge and step-by-step procedures.

Available Skills

Skill	Description
exec-remote	Execute Python scripts on remote GPU/TPU clusters via SkyPilot
beaver	Beaver issue tracker: project setup, issue creation, and PR workflows for GitHub Projects V2
session-recorder	Records the complete session content to a daily work directory
lint-fix	Check and fix lint issues for changed Python files
xprof-profiling-analysis	Analyze TPU/XLA profiling data (xprof, xplane, trace) for performance optimization

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exec-remote

Execute Python scripts on remote GPU/TPU clusters via SkyPilot.

Use when: the user asks to run code on GPU, TPU, or any remote cluster.

This plugin contains three skills with a parent-child relationship:

exec-remote          ← Entry point: run scripts on a provisioned cluster
├── deploy-cluster   ← Deploy a SkyPilot-managed TPU cluster on GKE
└── apply-resource   ← Provision/manage the underlying GKE TPU cluster via xpk

exec-remote is the top-level skill. When a cluster doesn't exist yet, it delegates to deploy-cluster, which in turn delegates to apply-resource to create the GKE infrastructure.

Skill	Description
exec-remote	Executes Python scripts, tests, or benchmarks on a provisioned remote cluster (GPU or TPU). Entry point — delegates to the sub-skills as needed.
deploy-cluster	Deploys a SkyPilot-managed TPU cluster on GKE. Generates ~/.sky/config.yaml, fetches GKE credentials, and runs sky launch.
apply-resource	Manages GKE TPU clusters using xpk. Creates, deletes, and lists TPU Nodepool resources. Multi-user safe — always queries GKE in real-time.

Capabilities:

• Provision GPU clusters (H100, A100, L4, etc.) or TPU clusters (v4, v6e, etc.) on GCP
• Execute Python scripts and pytest tests on remote instances
• Automatically sync local working directory to the remote cluster
• Manage full cluster lifecycle (create GKE cluster → deploy SkyPilot → execute → teardown)

Prerequisites:

• SkyPilot installed and configured
• xpk installed (for GKE TPU cluster management)
• Google Cloud SDK with gcloud auth login completed
• kubectl with gke-gcloud-auth-plugin
• uv for dependency management

GKE TPU Getting Started

For running code on TPU via GKE (the full apply-resource → deploy-cluster → exec-remote pipeline), additional tools are required:

Tool	Install	Verify
xpk	Install guide	xpk --help
kubectl	gcloud components install kubectl	kubectl version --client

After installing the plugin (see Installation), open your AI agent in your project directory and paste the prompt below.

Replace YOUR_REPO_PATH/sglang-jax/benchmark/moe/bench_ep_moe.py with your actual script path.

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