Agent skills for OpenAI Agents SDK

When to activate: push notifications, UserNotifications framework, APNs, notification content extensions, rich notifications, notification…

This skill should be used when the user wants to create a pull request, or submit code for review.

Automate Pushover tasks via Rube MCP (Composio).

Guides the structured engineering workflow for binary vulnerability analysis, debugging, and proof-of-concept stabilization.

Generate synthetic evaluation datasets for the PXI eval harness (evals/pxi/).

Create Pydantic models following the multi-model pattern for clean API contracts.

When to activate: Pydantic v2, data validation, serialization, settings management, pydantic-settings, field validators

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files.

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data.

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for…

Guides the agent on how to run clean python styling, Black/Ruff compliance checks, and pytest execution on changed python scripts.

Pythia event generation skill for proton-proton and lepton collisions at high energies

When to activate: httpx, API clients, retry logic, auth headers, rate limiting client-side, OpenAPI client generation

Best practices, common mistakes, decision guidance, and checklists for async Python, asyncio, and FastAPI — covering single-instance code…

Curated bundle of essential Python backend development skills.

When to activate: ARQ, RQ, background workers, Redis-based queues, async task workers

When to activate: Redis, caching strategies, cache-aside, TTL, cache invalidation, aiocache, cache decorators

Guidance for writing, reviewing, and refactoring Python code with clear style, naming, design principles, and testing discipline.

Reviews Python code for type safety, async patterns, error handling, and common mistakes.

When to activate: multiprocessing, threading, concurrent.futures, ProcessPoolExecutor, GIL, CPU-bound tasks

When to activate: configuration management, pydantic-settings, env files, feature flags, environment-specific settings