
Git Version Control
- 28 installs
- 4 repo stars
- Updated January 5, 2026
- pluginagentmarketplace/custom-plugin-data-engineer
git-version-control is a Claude Code skill for ai & agent building.
About
git-version-control is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- git-version-control
- AI & Agent Building
- AI-coding skill
Git Version Control by the numbers
- 28 all-time installs (skills.sh)
- Ranked #9,462 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-data-engineer --skill git-version-controlAdd your badge
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| Installs | 28 |
|---|---|
| repo stars | ★ 4 |
| Last updated | January 5, 2026 |
| Repository | pluginagentmarketplace/custom-plugin-data-engineer ↗ |
How do I helps with ai & agent building tasks.?
Helps with ai & agent building tasks.
Who is it for?
Best when you're working on ai & agent building and need structured help with git version control.
Skip if: Teams with no ai & agent building needs, or anyone wanting a generic chat assistant without this specific workflow.
When should I use this skill?
When you need to helps with ai & agent building tasks., or when git-version-control is a claude code skill for ai & agent building.
What you get
Structured output aligned to git-version-control: git-version-control, AI & Agent Building.
Files
Git & Version Control
Production Git workflows, branching strategies, and collaborative development practices.
Quick Start
# Initialize and configure
git init
git config user.name "Developer Name"
git config user.email "dev@company.com"
# Daily workflow
git checkout -b feature/add-data-pipeline
git add .
git commit -m "feat: add ETL pipeline for customer data"
git push -u origin feature/add-data-pipeline
# Create pull request (GitHub CLI)
gh pr create --title "Add ETL pipeline" --body "Implements customer data ETL"Core Concepts
1. Branching Strategies
# GitFlow
main ──●──────────────────●────────── # Production
│ │
develop ──●──●──●──────●──●──●────────── # Integration
│ \ /
feature/x ●────●──● # Features
│
release/1.0 ───●──── # Release prep
# Trunk-Based Development (recommended for CI/CD)
main ──●──●──●──●──●──●──●──●──────── # Always deployable
│ │ │ │
feature/* ● ● ● ● # Short-lived (1-2 days)
# Commands
git checkout -b feature/new-feature main
git push -u origin feature/new-feature
# After PR approval
git checkout main && git pull
git merge --squash feature/new-feature
git push origin main
git branch -d feature/new-feature2. Commit Best Practices
# Conventional Commits format
# type(scope): description
git commit -m "feat(etl): add incremental load for orders table"
git commit -m "fix(api): handle null values in response"
git commit -m "docs(readme): update installation instructions"
git commit -m "refactor(pipeline): extract validation logic"
git commit -m "test(unit): add tests for data transformer"
# Types: feat, fix, docs, style, refactor, test, chore, perf
# Interactive rebase for clean history
git rebase -i HEAD~3
# pick -> squash commits, reword messages
# Amend last commit (before push)
git commit --amend -m "Updated message"3. Resolving Conflicts
# Fetch and rebase (preferred over merge)
git fetch origin
git rebase origin/main
# If conflicts occur
# 1. Edit conflicted files
# 2. Mark as resolved
git add <resolved-files>
git rebase --continue
# Abort if needed
git rebase --abort
# Cherry-pick specific commits
git cherry-pick abc123
# Undo last commit (keep changes)
git reset --soft HEAD~1
# Undo last commit (discard changes)
git reset --hard HEAD~14. Advanced Operations
# Stash changes
git stash save "WIP: refactoring"
git stash list
git stash pop # Apply and remove
git stash apply stash@{0} # Apply but keep
# Bisect to find bug
git bisect start
git bisect bad HEAD
git bisect good v1.0.0
# Git checks out commits, you test
git bisect good # or bad
git bisect reset
# Find commits by content
git log -S "function_name" --oneline
git log --grep="fix" --oneline
# Blame to find author
git blame -L 10,20 src/pipeline.py
# Clean untracked files
git clean -fd # Remove untracked files and directoriesGit Hooks
#!/bin/bash
# .git/hooks/pre-commit
# Run linting
echo "Running linter..."
ruff check . || exit 1
# Run type checking
echo "Running type check..."
mypy src/ || exit 1
# Run tests
echo "Running tests..."
pytest tests/ -q || exit 1
echo "All checks passed!"Tools & Technologies
| Tool | Purpose | Version (2025) |
|---|---|---|
| Git | Version control | 2.43+ |
| GitHub CLI | GitHub operations | 2.43+ |
| pre-commit | Git hooks framework | 3.6+ |
| Conventional Commits | Commit standard | - |
| GitLens | VS Code extension | Latest |
Troubleshooting Guide
| Issue | Symptoms | Root Cause | Fix |
|---|---|---|---|
| Merge Conflict | Can't merge/rebase | Divergent changes | Resolve manually, git add, continue |
| Detached HEAD | Not on any branch | Checked out commit | git checkout main |
| Lost Commits | Commits missing | Reset/rebase | git reflog, git cherry-pick |
| Large Repo | Slow operations | Large files | Use Git LFS, clean history |
Best Practices
# ✅ DO: Write meaningful commit messages
git commit -m "fix(etl): handle empty dataframes in transform step
Previously the pipeline would crash when receiving empty data.
Now it logs a warning and continues with the next batch."
# ✅ DO: Keep commits atomic and focused
# ✅ DO: Rebase feature branches before merging
# ✅ DO: Use .gitignore properly
# ❌ DON'T: Commit secrets or credentials
# ❌ DON'T: Force push to shared branches
# ❌ DON'T: Commit large binary filesResources
---
Skill Certification Checklist:
- [ ] Can use branching and merging effectively
- [ ] Can write conventional commit messages
- [ ] Can resolve merge conflicts
- [ ] Can use interactive rebase
- [ ] Can set up pre-commit hooks
# git-version-control Configuration
# Category: general
# Generated: 2025-12-30
skill:
name: git-version-control
version: "1.0.0"
category: general
settings:
# Default settings for git-version-control
enabled: true
log_level: info
# Category-specific defaults
validation:
strict_mode: false
auto_fix: false
output:
format: markdown
include_examples: true
# Environment-specific overrides
environments:
development:
log_level: debug
validation:
strict_mode: false
production:
log_level: warn
validation:
strict_mode: true
# Integration settings
integrations:
# Enable/disable integrations
git: true
linter: true
formatter: true
{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "git-version-control Configuration Schema",
"type": "object",
"properties": {
"skill": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"version": {
"type": "string",
"pattern": "^\\d+\\.\\d+\\.\\d+$"
},
"category": {
"type": "string",
"enum": [
"api",
"testing",
"devops",
"security",
"database",
"frontend",
"algorithms",
"machine-learning",
"cloud",
"containers",
"general"
]
}
},
"required": [
"name",
"version"
]
},
"settings": {
"type": "object",
"properties": {
"enabled": {
"type": "boolean",
"default": true
},
"log_level": {
"type": "string",
"enum": [
"debug",
"info",
"warn",
"error"
]
}
}
}
},
"required": [
"skill"
]
}Git Version Control Guide
Overview
This guide provides comprehensive documentation for the git-version-control skill in the custom-plugin-data-engineer plugin.
Category: General
Quick Start
Prerequisites
- Familiarity with general concepts
- Development environment set up
- Plugin installed and configured
Basic Usage
# Invoke the skill
claude "git-version-control - [your task description]"
# Example
claude "git-version-control - analyze the current implementation"Core Concepts
Key Principles
1. Consistency - Follow established patterns 2. Clarity - Write readable, maintainable code 3. Quality - Validate before deployment
Best Practices
- Always validate input data
- Handle edge cases explicitly
- Document your decisions
- Write tests for critical paths
Common Tasks
Task 1: Basic Implementation
# Example implementation pattern
def implement_git_version_control(input_data):
"""
Implement git-version-control functionality.
Args:
input_data: Input to process
Returns:
Processed result
"""
# Validate input
if not input_data:
raise ValueError("Input required")
# Process
result = process(input_data)
# Return
return resultTask 2: Advanced Usage
For advanced scenarios, consider:
- Configuration customization via
assets/config.yaml - Validation using
scripts/validate.py - Integration with other skills
Troubleshooting
Common Issues
| Issue | Cause | Solution |
|---|---|---|
| Skill not found | Not installed | Run plugin sync |
| Validation fails | Invalid config | Check config.yaml |
| Unexpected output | Missing context | Provide more details |
Related Resources
- SKILL.md - Skill specification
- config.yaml - Configuration options
- validate.py - Validation script
---
Last updated: 2025-12-30
Git Version Control Patterns
Design Patterns
Pattern 1: Input Validation
Always validate input before processing:
def validate_input(data):
if data is None:
raise ValueError("Data cannot be None")
if not isinstance(data, dict):
raise TypeError("Data must be a dictionary")
return TruePattern 2: Error Handling
Use consistent error handling:
try:
result = risky_operation()
except SpecificError as e:
logger.error(f"Operation failed: {e}")
handle_error(e)
except Exception as e:
logger.exception("Unexpected error")
raisePattern 3: Configuration Loading
Load and validate configuration:
import yaml
def load_config(config_path):
with open(config_path) as f:
config = yaml.safe_load(f)
validate_config(config)
return configAnti-Patterns to Avoid
❌ Don't: Swallow Exceptions
# BAD
try:
do_something()
except:
pass✅ Do: Handle Explicitly
# GOOD
try:
do_something()
except SpecificError as e:
logger.warning(f"Expected error: {e}")
return default_valueCategory-Specific Patterns: General
Recommended Approach
1. Start with the simplest implementation 2. Add complexity only when needed 3. Test each addition 4. Document decisions
Common Integration Points
- Configuration:
assets/config.yaml - Validation:
scripts/validate.py - Documentation:
references/GUIDE.md
---
Pattern library for git-version-control skill
#!/usr/bin/env python3
"""
Validation script for git-version-control skill.
Category: general
"""
import os
import sys
import yaml
import json
from pathlib import Path
def validate_config(config_path: str) -> dict:
"""
Validate skill configuration file.
Args:
config_path: Path to config.yaml
Returns:
dict: Validation result with 'valid' and 'errors' keys
"""
errors = []
if not os.path.exists(config_path):
return {"valid": False, "errors": ["Config file not found"]}
try:
with open(config_path, 'r') as f:
config = yaml.safe_load(f)
except yaml.YAMLError as e:
return {"valid": False, "errors": [f"YAML parse error: {e}"]}
# Validate required fields
if 'skill' not in config:
errors.append("Missing 'skill' section")
else:
if 'name' not in config['skill']:
errors.append("Missing skill.name")
if 'version' not in config['skill']:
errors.append("Missing skill.version")
# Validate settings
if 'settings' in config:
settings = config['settings']
if 'log_level' in settings:
valid_levels = ['debug', 'info', 'warn', 'error']
if settings['log_level'] not in valid_levels:
errors.append(f"Invalid log_level: {settings['log_level']}")
return {
"valid": len(errors) == 0,
"errors": errors,
"config": config if not errors else None
}
def validate_skill_structure(skill_path: str) -> dict:
"""
Validate skill directory structure.
Args:
skill_path: Path to skill directory
Returns:
dict: Structure validation result
"""
required_dirs = ['assets', 'scripts', 'references']
required_files = ['SKILL.md']
errors = []
# Check required files
for file in required_files:
if not os.path.exists(os.path.join(skill_path, file)):
errors.append(f"Missing required file: {file}")
# Check required directories
for dir in required_dirs:
dir_path = os.path.join(skill_path, dir)
if not os.path.isdir(dir_path):
errors.append(f"Missing required directory: {dir}/")
else:
# Check for real content (not just .gitkeep)
files = [f for f in os.listdir(dir_path) if f != '.gitkeep']
if not files:
errors.append(f"Directory {dir}/ has no real content")
return {
"valid": len(errors) == 0,
"errors": errors,
"skill_name": os.path.basename(skill_path)
}
def main():
"""Main validation entry point."""
skill_path = Path(__file__).parent.parent
print(f"Validating git-version-control skill...")
print(f"Path: {skill_path}")
# Validate structure
structure_result = validate_skill_structure(str(skill_path))
print(f"\nStructure validation: {'PASS' if structure_result['valid'] else 'FAIL'}")
if structure_result['errors']:
for error in structure_result['errors']:
print(f" - {error}")
# Validate config
config_path = skill_path / 'assets' / 'config.yaml'
if config_path.exists():
config_result = validate_config(str(config_path))
print(f"\nConfig validation: {'PASS' if config_result['valid'] else 'FAIL'}")
if config_result['errors']:
for error in config_result['errors']:
print(f" - {error}")
else:
print("\nConfig validation: SKIPPED (no config.yaml)")
# Summary
all_valid = structure_result['valid']
print(f"\n==================================================")
print(f"Overall: {'VALID' if all_valid else 'INVALID'}")
return 0 if all_valid else 1
if __name__ == "__main__":
sys.exit(main())
Related skills
FAQ
What does git-version-control do?
git-version-control is a Claude Code skill for ai & agent building.
When should I use git-version-control?
When you need to helps with ai & agent building tasks., or when git-version-control is a claude code skill for ai & agent building.
What are the main capabilities?
git-version-control; AI & Agent Building; AI-coding skill.