claude-code-config

🥈Silver

Claude Code Configuration is a comprehensive toolkit for developers, featuring customizable rules, hooks, agents, and commands to enhance productivity. Perfect for those looking to optimize their coding environment with AI-driven solutions.

1,0111040Updated 1mo ago

Intermediate15 minutes to implementdevelopment

Saves ~240 min per use

Quick InstallView Source

claude install jarrodwatts/claude-code-config

Works with:

Claude

Overview

About This Skill

https://github.com/jarrodwatts/claude-code-config

How to Use

[{"step":"Define your project requirements","action":"List the programming language, frameworks, and tools your project uses (e.g., Python, FastAPI, pytest). Specify any compliance or security standards you need to adhere to.","tip":"Use the `claude-code-config` template to structure your requirements clearly. Include version constraints and tool preferences."},{"step":"Customize the rules and hooks","action":"Edit the `claude-config.json` file to enable/disable rules (e.g., linting, testing) and configure hooks for pre-commit, post-commit, or pre-push actions. Tailor commands to your workflow.","tip":"Start with essential rules (linting, testing) and expand as needed. Use tools like `ruff`, `pytest`, and `bandit` for Python projects."},{"step":"Set up agents for automation","action":"Configure agents to handle repetitive tasks such as generating docstrings, updating changelogs, or running code analysis. Define their prompts and output paths.","tip":"Agents work best for tasks with clear inputs and outputs. Test agents in a sandbox environment before integrating them into your workflow."},{"step":"Integrate with your development environment","action":"Install the `claude-code-config` plugin or CLI tool. Run `claude-config init` to scaffold the configuration file, then `claude-config apply` to enforce the rules and hooks.","tip":"Use `claude-config validate` to check for errors in your configuration before applying it. Monitor the logs for any issues during execution."},{"step":"Iterate and optimize","action":"Review the configuration after each sprint or major update. Adjust rules, hooks, or agents based on feedback from your team or performance metrics.","tip":"Track the impact of your configuration on code quality and developer productivity. Use metrics like test coverage, linting errors, and build times to guide improvements."}]

Use Cases

Customize AI agent behavior for specific coding tasks to improve efficiency.

Integrate hooks that automate workflows, reducing manual intervention.

Manage and maintain configuration files for various development environments seamlessly.

Create and store reusable code snippets to speed up coding processes.

Setup & Installation

Quick Install

Terminal

claude install jarrodwatts/claude-code-config

Alternative Install (Git Clone)

git clone https://github.com/jarrodwatts/claude-code-config

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Configure a Claude Code project for [PROJECT_NAME] with the following requirements: [LIST_REQUIREMENTS]. Apply these rules: [RULES]. Set up any necessary hooks for [HOOK_PURPOSE]. Ensure the configuration aligns with [BEST_PRACTICES]. Include a sample agent for [AGENT_TASK].

Example Output

Here’s a complete `claude-config.json` for a Python-based API project with FastAPI, including linting, testing, and deployment hooks:

```json
{
  "project_name": "FastAPI Weather Service",
  "version": "1.0.0",
  "rules": {
    "linting": {
      "enabled": true,
      "tool": "ruff",
      "config": {
        "line-length": 120,
        "select": ["E", "W", "F", "I"]
      }
    },
    "testing": {
      "enabled": true,
      "framework": "pytest",
      "coverage_threshold": 90
    },
    "security": {
      "enabled": true,
      "tool": "bandit",
      "exclude": ["tests/"]
    }
  },
  "hooks": {
    "pre-commit": [
      {
        "name": "run-linter",
        "command": "ruff check .",
        "on_failure": "exit"
      },
      {
        "name": "run-tests",
        "command": "pytest tests/ --cov=src --cov-fail-under=90",
        "on_failure": "warn"
      }
    ],
    "post-commit": [
      {
        "name": "notify-team",
        "command": "echo 'Changes committed successfully' && curl -X POST https://hooks.slack.com/services/... -d '{"text":"New commit in FastAPI Weather Service"}'"
      }
    ]
  },
  "agents": {
    "docstring-generator": {
      "enabled": true,
      "prompt": "Generate Google-style docstrings for the following Python function:\n```python\n[FUNCTION_CODE]\n```",
      "output_path": "docs/api_reference.md"
    }
  }
}
```

**Key Features Applied:**
1. **Linting:** Enforced PEP 8 compliance with Ruff, including line length and import sorting.
2. **Testing:** Integrated pytest with coverage reporting, failing builds if coverage drops below 90%.
3. **Security:** Added Bandit to scan for common vulnerabilities in the codebase.
4. **Hooks:** Pre-commit hooks run linters and tests automatically, while post-commit hooks notify the team via Slack.
5. **Agents:** A dedicated agent generates docstrings for functions and appends them to the API reference markdown file.

This configuration ensures the project adheres to modern Python development standards while automating repetitive tasks. The hooks reduce manual errors, and the agents offload documentation work, allowing the team to focus on feature development.