Skills matching the name, description or GitHub author.
Use this skill when writing Python code following PEP 8 and modern Python best practices. Provides comprehensive guidance on code layout, naming conventions, EAFP philosophy, type hints, exception handling, and...
Analyzes ICU clinical data using the Common Longitudinal ICU data Format (CLIF) and clifpy Python library. Loads and filters CLIF tables (vitals, labs, medications, respiratory support, microbiology) by hospita...
Use PROACTIVELY when creating Model Context Protocol servers for connecting AI applications to external data sources, tools, and workflows. Generates production-ready MCP servers with TypeScript/Python SDKs, co...
Use PROACTIVELY when checking if tests catch real bugs, assessing test suite quality, finding weak tests, or measuring mutation score. Validates test effectiveness beyond coverage metrics by introducing code mu...
Implement payment integrations with SePay (Vietnamese payment gateway with VietQR, bank transfers, cards) and Polar (global SaaS monetization platform with subscriptions, usage-based billing, automated benefits...
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
This skill should be used when the user asks to "debug backend tests", "fix pytest failures", "analyze Python errors", "fix FastAPI bugs", or mentions keywords like "pytest", "IntegrityError", "ValidationError"...
Python testing framework for writing simple, scalable, and powerful tests
Data validation and settings management using Python type annotations with Pydantic v2
ASGI server for Python web applications - Fast, production-ready server for async frameworks
Advanced Python Scheduler - Task scheduling and job queue system
A next-generation HTTP client for Python with both sync and async support, perfect for modern Python applications
Automated code validation for diff review, change hygiene, and red flag detection. Use when reviewing git diffs, PRs, or changed files for test disabling patterns, secrets, path portability issues, security fla...
Test quality validation detecting mesa-optimization, happy-path bias, vacuous assertions, and error-swallowing anti-patterns. Use when reviewing test files for quality issues, evaluating test meaningfulness, or...
Master CLI navigation and code exploration using modern command-line tools. Use this skill when navigating repositories, searching for files/text/code patterns, or working with structured data (JSON/YAML/XML)....
Reviews Python code for PEP8 compliance, type hints, modern best practices (Python 3.9+), and code quality. Detects anti-patterns, validates documentation, and provides severity-based recommendations. Integrate...
Sets up modern Python projects with uv tooling, src layout, and PEP8 standards. Handles both new and existing projects, presents interactive library selection for CLI/TUI apps, generates pyproject.toml, and pro...
Manage Kurt documents - list, query, retrieve content, delete, find duplicates. Use CLI commands, Python API, or direct SQL queries.
Full-stack Python framework for interactive web apps. Server-driven React UI with WebSocket sync. This skill should be used when building Pulse applications, components, state management, data fetching, routing...
Use when building Python 3.11+ applications requiring type safety, async programming, or production-grade patterns. Invoke for type hints, pytest, async/await, dataclasses, mypy configuration.
Provides coding style rules for Python and PowerShell. Apply when writing, editing, reviewing, or debugging code.
Compare Nim and Python scripted agent implementations and align behavior. Use when asked to port or ensure parity between Nim and Python.
Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.
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