plankton-code-quality
[ Featured ]Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
managing-finances is a spec-driven development framework for financial planning, utilizing 26+ specialized subagents and enforcing zero technical debt from ideation to release.
File-based task management framework for AI coding agents — markdown tasks with YAML frontmatter, git-native, zero infrastructure. Works with Claude Code, Gemini CLI, OpenCode, and Codex CLI.
Local serverless runtime that maps files in api/ to HTTP endpoints and dispatches requests using a strict Web Request -> Response contract.
Code-quality-foundations is a set of principles and guidelines for writing high-quality code that achieves four key goals: it works, it keeps working, it's adaptable, and it meets requirements.
code-quality-check is an AI Agent skill that automates Python code quality checks. It executes a sequence of tools including the Black code formatter, the Ruff linter with auto-fix capabilities, and the Mypy static type checker on specified source and test directories.
image-quality-enhancement is a skill that assesses and improves image clarity using Laplacian variance and Real-ESRGAN technology
Code Quality & Testing is a skill that automates code quality checks and testing using npm commands to ensure high test coverage and resolve styling errors
Code Quality & Testing is a skill that automates the process of resolving styling and standard linting errors, and executing core logic and end-to-end browser tests.
django-tdd is a skill that provides Django testing strategies with pytest-django, TDD methodology, and testing tools for Django REST Framework APIs.
tdd-workflow is a skill that automates test-driven development, ensuring thorough test coverage and streamlined testing processes for developers.
Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.