Agent Skills Hub

pytorch-lightning

PyTorch Lightning skill for scalable deep learning: automates model training, multi-GPU orchestration, data pipelines, and distributed training strategies like DDP, FSDP, and DeepSpeed.

github-release-management

Intelligent GitHub release orchestration using AI swarms for automated versioning, multi-platform deployment, testing, and rollback management.

trigger-dev-tasks

Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.

trading-strategies

Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.

Vercel Deploying

Automated Vercel production deployment agent that fetches logs via MCP, identifies build errors, applies fixes, and retries until success.

scikit-learn

Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.

nvidia-resiliency-ext

Provides resiliency, health monitoring, and fault tolerance utilities for NVIDIA GPU-accelerated distributed applications, including process management and API key handling.

Frontend Components

Standardized configuration and management for Django production server and worker processes.

code-formatter

Universal CLI tool to convert and synchronize AI agent skills between Claude Code and Gemini CLI extensions.

flyio

Manage Fly.io edge infrastructure: deploy apps, scale machines, configure volumes, secrets, and networking via the Fly.io Machines API. Python-based, zero-dependency.

skill-authoring-workflow

A standardized workflow for converting raw PM notes, workshops, or rough drafts into polished, validated, and repository-compliant AI skills.

implementation

Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.