Generate Python project specifications with PEP 8, typing, security, and pytest coverage requirements.
npx skills add https://github.com/Pyl-Tech/stream-coding --skill python-pyl-tech
Please help me install this Agent Skill. Skill: python Source: https://github.com/Pyl-Tech/stream-coding/tree/main/.agents/skills/python Command: npx skills add https://github.com/Pyl-Tech/stream-coding --skill python-pyl-tech
This Skill helps you write Python project specifications that prevent common bugs and security issues by forcing documentation to include conventions, immutable design choices, testing, and a concrete review checklist.
Use the python skill to generate a review-ready spec for a Python service so an AI can implement and validate it against formatting, typing, security scanning, and pytest coverage requirements.
High-intent search queries and answers about installing and using this skill.
To enforce Python type hints and PEP 8, generate a specification mandating type annotations on function signatures, black formatting, isort import sorting, and ruff linting to standardize and validate your codebase.
Establish pytest coverage targets by defining a specification requiring pytest usage, coverage thresholds, categorization markers, and lazy initialization patterns to prevent import-time environment failures during test execution.
Bandit security scanning integrates by applying a concrete review checklist that validates safe secret handling and explicitly checks for injections, unsafe deserialization, crypto, and error-handling pitfalls to gate Python code quality.
Yes, this specification applies to Django and FastAPI refactoring by enforcing framework-specific checks including Django N+1 mitigation and transaction expectations, alongside FastAPI validation and async safety requirements.
Yes, you can enforce immutable design by applying a specification requiring type-safe API design intent through Protocol-based interfaces, dataclasses, DTOs, and context managers to reduce Python defects and security vulnerabilities.
Standardize Python project conventions before writing code to prevent common bugs and security issues by forcing documentation to include immutable design choices, testing discipline, and a concrete review checklist from the project start.
maneeshanifCreate Python project scaffolds with src layout and configuration files.
matteocervelliValidate Python code formatting, typing, linting, and security issues.
prof-danielcRun static analysis tools and aggregate results into a prioritized issue report.
pratikrath126Guide Python framework selection and async versus sync decisions with decision trees.
