By primatrix
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
A Claude Code plugin marketplace containing reusable Agent Skills. Also compatible with Codex and Gemini CLI.
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.
| 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 |
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:
Prerequisites:
gcloud auth login completedgke-gcloud-auth-pluginFor 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.
npx claudepluginhub primatrix/skills --plugin superpowersCheck and fix lint issues for changed Python files by commit, range, or working tree
Beaver issue tracker: project setup, issue creation, and PR workflows for GitHub Projects V2
Records the complete session content and logs it to a daily work directory with a dynamic filename based on the active CLI agent.
TPU/XLA profiling analysis: MCP tools for XProf HTTP API (operator breakdowns, memory profiles, A/B comparisons) + methodology skills for trace parsing, MFU calculation, bottleneck identification
Execute Python scripts on remote GPU/TPU clusters via SkyPilot
Multi-agent orchestrator for Claude Code. Track work with convoys, sling to polecats. The Cognition Engine for AI-powered software factories.
24 elite skills across 5 layers: discipline, domain expertise, intelligence, coordination, and execution. Turn Claude Code into a proactive engineering partner.
Core skills: ecosystem guide, skill creator, research patterns, session reflection, and plugin development. Includes UserPromptSubmit hook for forced skill evaluation.
Skill synchronization and management for Claude Code, Codex, GitHub Copilot, and Cursor. Provides 27 MCP tools for validation, sync, intelligence, and tracing.
Skill discovery and installation assistant — find and install the right skills for your project
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques