Skills matching the name, description or GitHub author.
Expert Python and GUI automation skill for controlling Oracle Primavera P6 Professional desktop application. This skill should be used when building voice-driven agents, automating P6 GUI interactions via pywin...
Submit Python functions to Modal with job tracking using the ModalJob decorator. Use when user wants to run GPU workloads, training jobs, or long-running tasks on Modal.
Generate DOCX documents from pipeline results or structured data. Uses python-docx library for Word document generation. Supports template-based reports, batch exports, and custom styling. Use when user asks to...
Complete Railway.com platform documentation for deploying, configuring, and managing applications. Use this skill for Railway CLI commands, API usage, deployment guides, database setup, networking, volumes, tro...
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIV...
Build full-stack AI agents using Google ADK (Agent Development Kit) with CopilotKit frontend via AG-UI protocol. Use when building production-ready AI agents with Gemini models, multi-tool agents, human-in-the...
Develop Python logic within n8n Code nodes using _input, _json, and _node accessors. Covers standard library usage, execution constraints, and when Python is preferable over JavaScript. Activate for Python-spec...
Universal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, and generic projects. Use when user says "release", "发布", "new version", "bump version", "...
Advanced Python testing with pytest including fixtures, parametrization, mocking, markers, and plugins. Test async code, APIs, and databases. Use for Python testing, test automation, or CI/CD pipelines.
Enforces Dave Farley–style fast feedback by defining Python unit, adapter, contract, and acceptance testing playbooks; use when planning or diagnosing tests.
Run Python tests for the AIQ backend. Handles venv activation and pytest execution. Use this whenever you need to run backend tests.
Replaces the creation of test code based on specifications and the minimal implementation to pass them (Red/Green) in Python projects. Typical use cases: (1) Creating failing tests (Red) based on API or logic s...
Testing patterns for Python Flask APIs, ML translation models, and database operations. Use when writing tests, setting up test fixtures, or validating translation accuracy for the Chuuk Dictionary application.
Enforce test-driven development workflow for Python. Write tests FIRST, then implement minimal code to pass. Use when implementing new features, fixing bugs, or refactoring.
Generate pytest tests for Python functions and classes. Use when asked to write tests, add test coverage, or create unit tests.
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