Will this skill format my entire repository?

No, it uses scoped operations by default. It identifies only the files you have modified to prevent 'diff pollution' and unnecessary merge conflicts in unrelated parts of the codebase.

Can I use my existing pre-commit hooks?

Yes, the skill includes logic to detect and use your project's existing .pre-commit-config.yaml or tool-specific configurations automatically.

Does it support languages other than Python?

Yes, while it has deep knowledge of Python tools like Ruff and MyPy, it also supports JavaScript/TypeScript tools like Prettier and Biome, as well as shell script and markdown linters.

How does this skill differ from standard Claude code generation?

While standard Claude predicts correct code, this skill forces actual verification by running terminal-based linters and formatters, ensuring the code passes real-world quality gates before completion.

What is the role of the root-cause-resolver agent?

It is a specialized sub-agent that investigates linting errors, reads documentation, and implements elegant fixes rather than simply suppressing errors with 'noqa' or 'type: ignore' comments.

Holistic Linting & Formatting

Name: Holistic Linting & Formatting
Author: BbgnsurfTech

byBbgnsurfTech

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Herramientas para Desarrolladores

Ensures production-grade code quality through automated multi-linter verification and systematic root-cause resolution.

Acerca de

This skill integrates comprehensive linting and formatting workflows directly into Claude Code, moving beyond simple pattern matching to verified code quality. It employs specialized agents to autonomously format files, run multiple linters (like Ruff, MyPy, and Bandit), and perform root-cause analysis on errors to ensure fixes are architectural rather than superficial. By enforcing a verify-before-complete protocol, it eliminates common issues like diff pollution, type-checking failures, and unverified production-ready claims in both Python and JavaScript environments.

Características Principales

Automated orchestration of multiple linters including Ruff, MyPy, and Bandit
Smart detection of project-specific rules via CLAUDE.md and git hooks
Post-resolution architectural review to prevent symptom-only fixes
Root-cause analysis agent for systematic resolution of complex linting errors
Scoped operations that target modified files to prevent diff pollution
3 GitHub stars

Casos de Uso

Resolving systemic linting issues that require deep architectural understanding
Enforcing strict type-safety and style guides in large-scale Python repositories
Automating the format-lint-verify loop before submitting PR-ready code

Acerca de

Características Principales

Automated orchestration of multiple linters including Ruff, MyPy, and Bandit
Smart detection of project-specific rules via CLAUDE.md and git hooks
Post-resolution architectural review to prevent symptom-only fixes
Root-cause analysis agent for systematic resolution of complex linting errors
Scoped operations that target modified files to prevent diff pollution
3 GitHub stars

Casos de Uso

Resolving systemic linting issues that require deep architectural understanding
Enforcing strict type-safety and style guides in large-scale Python repositories
Automating the format-lint-verify loop before submitting PR-ready code