Claude Code Git Hooks: Automate Your Pre-Commit Workflow

Git hooks have long been the backbone of quality code enforcement in development teams. When combined with Claude Code’s powerful capabilities, you can create a sophisticated pre-commit automation system that catches issues before they ever reach your repository. This guide walks you through setting up Claude Code git hooks that will transform how you validate and prepare code for commit.

Understanding Git Hooks Beyond Pre-Commit

While pre-commit hooks get the most attention, Git supports several hook types that Claude Code can orchestrate:

• pre-commit: Runs before a commit is created, ideal for linting and code formatting
• commit-msg: Validates commit message format (conventional commits, ticket references)
• pre-push: Executes before code is pushed to remote, perfect for running full test suites
• post-merge: Runs after a successful merge, useful for automatic dependency installation

Claude Code can serve as the intelligent orchestrator for all these hooks, interpreting your natural language instructions and executing complex automation sequences.

Understanding the Pre-Commit Framework

The pre-commit framework provides a standardized way to manage and maintain multi-language pre-commit hooks. Rather than writing shell scripts from scratch, pre-commit lets you define your validation pipeline in a simple YAML configuration file. This approach works exceptionally well with Claude Code because you can use existing skills while adding custom checks tailored to your project needs.

Start by installing pre-commit if you haven’t already:

pip install pre-commit

Create a .pre-commit-config.yaml file in your repository root to define your validation pipeline.

Integrating Claude Code with Pre-Commit Hooks

The most powerful aspect of using Claude Code with git hooks is its ability to perform context-aware analysis. Unlike static linters that only check syntax, Claude Code can understand code semantics and provide intelligent feedback. Here’s how to integrate it:

First, create a Python script that invokes Claude Code for code review:

#!/usr/bin/env python3
"""Claude Code pre-commit hook for intelligent code review."""
import subprocess
import sys
from pathlib import Path

def run_claude_review():
    """Run Claude Code to analyze staged files."""
    result = subprocess.run(
        ["claude", "code", "--review", "--staged"],
        capture_output=True,
        text=True
    )
    
    if result.returncode != 0:
        print("Claude Code found issues:")
        print(result.stdout)
        if result.stderr:
            print(result.stderr, file=sys.stderr)
        return False
    
    print("Claude Code: All checks passed!")
    return True

if __name__ == "__main__":
    sys.exit(0 if run_claude_review() else 1)

Add this to your pre-commit configuration:

repos:
  - repo: local
    hooks:
      - id: claude-code-review
        name: Claude Code Review
        entry: python /path/to/claude_review.py
        language: system
        stages: [pre-commit]
        pass_filenames: false

Practical Pre-Commit Automation Examples

Linting and Formatting Integration

Combine Claude Code with industry-standard linting tools for comprehensive validation. For JavaScript and TypeScript projects, integrate ESLint and Prettier alongside Python tools like Black and Flake8:

repos:
  - repo: https://github.com/pre-commit/mirrors-eslint
    rev: v8.56.0
    hooks:
      - id: eslint
        types: [javascript, jsx, typescript, tsx]

  - repo: https://github.com/pre-commit/mirrors-prettier
    rev: v3.1.1
    hooks:
      - id: prettier
        types: [javascript, jsx, typescript, tsx, css, yaml]

  - repo: https://github.com/psf/black
    rev: 24.1.0
    hooks:
      - id: black
        language_version: python3.11

  - repo: https://github.com/pycqa/flake8
    rev: 7.0.0
    hooks:
      - id: flake8

The order matters—formatting tools should run before linters to avoid conflicts.

For Claude Code-specific format checks:

repos:
  - repo: local
    hooks:
      - id: claude-code-format
        name: Claude Code Format Check
        entry: claude code format --check
        language: system
        files: \.(js|ts|jsx|tsx)$
        stages: [pre-commit]

Test-Driven Development Validation

If you’re practicing TDD using the tdd skill, you can create a hook that verifies test files exist before implementation files:

#!/usr/bin/env python3
"""Validate TDD workflow: test must exist before implementation."""
import sys
from pathlib import Path

STAGED_FILES = sys.argv[1:]

def check_tdd_compliance():
    for file in STAGED_FILES:
        if file.endswith(('.js', '.ts', '.py')):
            # Skip test files
            if 'test' in file or 'spec' in file:
                continue
            
            # Check for corresponding test file
            base = Path(file).stem
            test_patterns = [
                f"**/test*{base}*",
                f"**/*{base}.test.*",
                f"**/*{base}.spec.*"
            ]
            
            has_test = any(Path().glob(pattern) for pattern in test_patterns)
            if not has_test:
                print(f"Warning: No test file found for {file}")
                print("Consider creating a test file using the tdd skill")
                return False
    return True

if __name__ == "__main__":
    sys.exit(0 if check_tdd_compliance() else 1)

PDF and Documentation Validation

For projects that include documentation, use the pdf skill to ensure generated documentation meets quality standards:

repos:
  - repo: local
    hooks:
      - id: doc-quality-check
        name: Documentation Quality Check
        entry: python /path/to/doc_checker.py
        language: system
        files: \.(pdf|md)$
        stages: [pre-commit]

Building a Pre-Commit Skill

Rather than wiring Claude Code into hooks via shell scripts alone, you can define a dedicated Claude skill that manages the entire validation workflow. This lets you invoke checks conversationally and extend them without touching hook configuration files:

---
name: pre-commit-check
description: Run pre-commit validation on staged files
---

# Pre-Commit Check

Run comprehensive checks on staged files before commit.

## Available Tools
- eslint, prettier, tslint for JavaScript/TypeScript
- black, ruff, mypy for Python
- gofmt, golint for Go
- rustfmt, clippy for Rust

## Process
1. Identify staged files using git diff --cached
2. Determine file types and select appropriate checkers
3. Run selected validators
4. Report results and suggest fixes
5. If checks pass, confirm ready for commit

## Usage

- Run all checks: "check my code"
- Run specific checks: "check only linting" or "check types only"
- Skip checks: "commit without checks" (with warning)

The skill uses the bash tool to execute commands and can detect which tools are available in your project by checking for package.json, pyproject.toml, go.mod, or Cargo.toml.

Adding Smart Fix Suggestions

Extend your pre-commit skill to offer automatic corrections rather than just reporting problems:

## Fix Suggestions

For linting errors:
- If ESLint reports issues, offer: `npx eslint --fix`
- If ruff finds problems, offer: `ruff check --fix`
- If black detects formatting issues, offer: `black .`

Always confirm before applying automatic fixes to avoid unintended changes.

Automating Dependency Checks

Another valuable pre-commit use case is verifying dependencies. A skill or hook can check for outdated packages with known vulnerabilities, incompatible version mismatches, missing peer dependencies, and unused packages:

# Check for vulnerabilities
npm audit --audit-level=moderate

# List outdated packages
npm outdated --json > /tmp/outdated.json

Automating with Claude Code Skills

Claude Code’s skills excel in specific domains. You can create specialized hooks that use these capabilities:

For frontend projects, the frontend-design skill can validate component implementations against design patterns. For documentation-heavy projects, the pdf skill ensures generated documents maintain professional quality. The supermemory skill can even help maintain a knowledge base of commit patterns and code standards across sessions, including project-specific naming conventions, import ordering, and custom rules not captured in config files.

Here’s a comprehensive pre-commit configuration that demonstrates this approach:

repos:
  - repo: local
    hooks:
      - id: claude-code-review
        name: Claude Code Intelligent Review
        entry: claude code review --staged --verbose
        language: system
        stages: [pre-commit]
        
      - id: frontend-pattern-check
        name: Frontend Pattern Validation
        entry: claude code run frontend-design --validate
        language: system
        files: \.(jsx|tsx|vue)$
        stages: [pre-commit]
        
      - id: commit-msg-format
        name: Conventional Commit Validation
        entry: python /path/to/commit_msg_check.py
        language: system
        stages: [commit-msg]

Best Practices for Git Hook Automation

Keep your hooks fast and focused. Pre-commit hooks that take too long get disabled or bypassed. Run heavy validations asynchronously or in CI pipelines rather than blocking local commits.

Version control your hook configurations. Store .pre-commit-config.yaml in your repository so team members automatically receive updates. Use pinned versions for tools to ensure consistent behavior across all developers.

Test your hooks thoroughly before deployment. Use pre-commit run --all-files to validate existing code, then gradually introduce new hooks. This prevents surprises when developers first encounter the automation.

Monitor hook effectiveness. Track which issues get caught most frequently and adjust your configuration accordingly. Remove checks that rarely catch problems to keep the pipeline efficient.

Troubleshooting Common Issues

Hook runs but fails intermittently: Check for environment differences between local machines. Use a consistent Python version and lock your tool versions in the config file.

Pre-commit is too slow: Enable caching with export PRE_COMMIT_HOME=$HOME/.cache/pre-commit, reduce the number of hooks, or move some checks to CI pipeline only.

Claude Code keeps making the same mistakes: Update your project’s .gitignore to exclude generated files, and provide explicit context about your linting rules in your project notes.

Conclusion

Integrating Claude Code with git hooks creates a powerful automation layer that catches issues before they impact your codebase. By combining the intelligence of Claude Code with pre-commit’s flexible framework, you establish a quality gate that scales with your project. Whether you’re enforcing coding standards, validating test coverage, or maintaining documentation quality, this approach provides consistent, automated validation without requiring manual intervention.

The key is starting simple and expanding gradually. Begin with basic checks, then layer in more sophisticated validations as your team becomes comfortable with the workflow. Claude Code’s contextual understanding combined with pre-commit’s automation creates a robust system that improves code quality while reducing review burden.

Related Reading

• Understanding Claude Code Hooks System: Complete Guide — Claude Code hooks and git hooks work together
• Claude Code Git Workflow Best Practices Guide — Pre-commit hooks are a git best practice
• Claude Code for Release Automation Workflow Tutorial — Hooks are part of the full release automation pipeline

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