Lint and Validate Skill
MANDATORY: Run appropriate validation tools after EVERY code change. Do not finish a task until the code is error-free.
4,997,183 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
MANDATORY: Run appropriate validation tools after EVERY code change. Do not finish a task until the code is error-free.
Code review skill for quality, standards compliance, and best practices
Measures and improves Python type annotation coverage using mypy --html-report and pyright type completeness scoring. Identifies untyped function signatures, missing return types, and Any-typed parameters across codebases.
Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.
Run code quality checks (ruff, mypy, pytest) and optionally simplify code. This skill should be used when the user wants to check code quality, run linters, run tests, or simplify recently modified code. Triggered by /lint, /check, or /code-quality commands.
Python SDK development with async support and type hints
Analyzes code quality, detects code smells, suggests refactoring, and calculates complexity metrics. Use before testing or deployment.
Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.
Run the SDLC validation pipeline using direct tool invocations. No wrapper scripts required. Use when checking code quality before commits or PRs.
Python language expert -- debugging, packaging (PyInstaller/Nuitka/cx_Freeze), testing (pytest/unittest), type checking (mypy/pyright), async/concurrency patterns, performance optimization, dependency management, and cross-platform development.
Ensures code quality through automatic linting and validation processes for Node.js, TypeScript, and Python projects.
Agent skill for ML / AI Engineer, Backend Developer, Data Engineer, published by notque. Project details and file access are provided by the publisher.
Try a broader search or clear some filters.
Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.