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Found 130 Skills
Generate exhaustive integration functions with comprehensive test suites for all 3rd-party APIs and external services. Automatically creates function wrappers, individual test files, integrated test runners, and a detailed report of API behavior, response signatures, latency, and failure modes.
Factory Pattern Creator - Auto-activating skill for Test Automation. Triggers on: factory pattern creator, factory pattern creator Part of the Test Automation skill category.
GenAI-first testing with structural assertions and congruence validation. Project-specific test patterns, anti-patterns, and tier structure.
Use when implementing production-quality bioinformatics software with proper error handling, logging, testing, and documentation, following software engineering best practices.
Optimizes Python library performance through profiling (cProfile, PyInstrument), memory analysis (memray, tracemalloc), benchmarking (pytest-benchmark), and optimization strategies. Use when analyzing performance bottlenecks, finding memory leaks, or setting up performance regression testing.
Create comprehensive test suites for Frappe Framework v15 applications. Triggers: "create tests", "add tests", "frappe test", "write tests", "test coverage", "/frappe-test". Generates unit tests, integration tests, fixtures, and factory patterns following testing best practices.
Guides testing and code quality for kcli. Use when writing tests, running linting, or validating changes before committing.
Configure LangChain local development workflow with hot reload and testing. Use when setting up development environment, configuring test fixtures, or establishing a rapid iteration workflow for LangChain apps. Trigger with phrases like "langchain dev setup", "langchain local development", "langchain testing", "langchain development workflow".
Use when writing, fixing, editing, or refactoring Python tests. Enforces Clean Code principles—fast tests, boundary coverage, one assert per test.
Run git-workspace-review first to understand which tests need updates. Use when updating existing tests, generating new tests for features, enhancing test quality, ensuring detailed coverage, pre-commit validation. Do not use when auditing test suites - use pensive:test-review. DO NOT use when: writing production code - focus on implementation first.
Extract raw price dataframe for a test case
Sets up Python development environment using UV for fast dependency management. Configures virtual environment, dependencies, testing (pytest), linting/formatting (ruff), and type checking (mypy). ALWAYS use UV - NEVER use pip directly. Use when starting work on Python projects, after cloning Python repositories, setting up CI/CD for Python, or troubleshooting Python environment issues.