Co-Pilot
Updated a month ago

claude-codepro

Mmaxritter
0.4k
maxritter/claude-codepro
80
Agent Score

πŸ’‘ Summary

Claude CodePro is a development environment that enforces TDD and automates quality checks for coding projects.

🎯 Target Audience

Software developers looking for automated testing solutionsTeams adopting Test-Driven Development (TDD)Project managers overseeing code qualityFreelancers needing efficient coding workflowsEducators teaching software development best practices

πŸ€– AI Roast: β€œPowerful, but the setup might scare off the impatient.”

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage. Run with least privilege and audit before enabling in production.

Production-Grade Development Environment for Claude Code

Quality automated. Context optimized. Testing enforced. Ship with confidence. A shortcut to state-of-the-art Claude Code development, continuously improved.

Version Stars Last Commit PRs Welcome

⭐ Star this repository Β· 🌐 Visit the website Β· πŸ”” Follow for updates


⚑ TL;DR

curl -fsSL https://raw.githubusercontent.com/maxritter/claude-codepro/v5.3.1/install.sh | bash

Then run ccp and /sync once to sync rules and skills. Use /spec or the quick mode for full quality.


πŸ“‘ Table of Contents


πŸš€ Getting Started

βœ… Prerequisites

πŸ–₯️ Platforms: macOS, Linux, Windows (WSL2)

πŸ’³ Claude: Max, Team, or Enterprise recommended

Choose your installation method:

Option A: 🐳 Dev Container (Recommended)

Pre-configured, isolated environment with all tools ready. No system conflicts, consistent across machines, easy cleanup.

Option B: 🍺 Local Installation

Install directly on your system. Requires Homebrew (macOS/Linux/WSL2).

πŸ”§ Installation

Run the following command in your project folder root:

curl -fsSL https://raw.githubusercontent.com/maxritter/claude-codepro/v5.3.1/install.sh | bash

You'll be asked to choose between Dev Container or Local Installation.


πŸ“¦ What's Inside

♾️ Endless Mode

  • Seamless Continuity - Work on complex features across multiple sessions without losing progress
  • Automatic Handoffs - Context Monitor detects limits and continues seamlessly in new sessions
  • Persistent Memory - Relevant observations automatically carry across all sessions
  • Works Everywhere - Both /spec workflow and Quick Mode benefit from session continuity

πŸ“‹ Spec-Driven Development

  • Planning - Creates a detailed implementation plan for your review as markdown in docs/plans/
  • Approval - You review, edit if needed, and approve the plan before implementation
  • Implementation - Executes the plan with TDD enforcement and context management
  • Verification - Runs tests, quality checks, and validates completion based on the plan

πŸ“š Modular Rules, Commands & Skills

  • Rules - Best practices for TDD, debugging, context management, and more
  • Commands - /spec for Spec-Driven Development and /sync updating rules
  • Skills - Coding standards for Python, TypeScript, Go, testing, and components
  • Customizable - Add your own rules, commands, and skills that survive updates

🧠 Enhanced Context Capabilities

  • Persistent Memory - Cross-session memory system that automatically ingests context
  • Semantic Search - Local vector store based semantic code search for token-efficient retrieval
  • External Context - Library docs via Context7, web search and scraping via MCP tools
  • Browser Automation - Headless browser automation and testing even within the Dev Container

βœ… Quality Automation

  • TDD Enforcer - Pre-edit hook that warns when modifying code without failing tests first
  • Quality Hooks - Language-specific hooks for Python, TypeScript and Go that auto-fix issues
  • LSP Integration - Language servers installed for real-time diagnostics and go-to-definitions
  • Status Line - Live display of context usage, memory status, usage limits, and license info

πŸ› οΈ One-Command Installer

  • Automated Container Setup - Isolated Linux environment with pre-configured tools and extensions
  • Extended Language Support - Optionally install extended support for Python, TypeScript & Go
  • Automated Updater - Updates CCP to the latest version when launched over the binary
  • Shell Integration - Auto-configures bash, fish and zsh with ccp alias

πŸ”„ Why Claude CodePro?

Same task. Different results.

| Ad-hoc Prompting | With Claude CodePro | | -------------------------------- | ----------------------------------------------------- | | ❌ Writes code without tests | βœ… TDD enforced β€” tests first, then implementation | | ❌ No quality checks | βœ… Auto-formatted, linted, type-checked on every edit | | ❌ Inconsistent workflow | βœ… Structured Plan β†’ Implement β†’ Verify cycle | | ❌ Context lost between sessions | βœ… Persistent memory carries observations forward | | ❌ No codebase awareness | βœ… Semantic search understands your code | | ❌ Hope it works | βœ… Verified before marked complete |

The result: Production-grade code you can ship with confidence. Systematic. Tested. Verified.


⚑ Usage

πŸ”„ Sync Rules & Skills

Run /sync to sync custom rules and skills with your codebase. Run it once initially, then anytime after major changes:

ccp > /sync

πŸ“‹ Spec-Driven Mode

Best for complex features, refactoring, or when you want to review a plan before implementation:

ccp > /spec "Add user authentication with OAuth and JWT tokens"

How it works:

πŸ“‹ Plan  β†’  βœ… Approve  β†’  πŸ”¨ Implement  β†’  πŸ” Verify
                                ↑              ↓
                                └── πŸ”„ Loop β”€β”€β”€β”˜
  1. πŸ“‹ Plan β€” Explores codebase, asks clarifying questions, writes spec to docs/plans/
  2. βœ… Approve β€” You review and edit the plan, then approve
  3. πŸ”¨ Implement β€” Executes each task with TDD and quality hooks
  4. πŸ” Verify β€” Runs tests and checks; loops back if issues found

πŸ’¬ Quick Mode

Just chat. No plan file, no approval gate. All quality hooks and TDD enforcement still apply.

Best for bug fixes, small improvements, and exploratory work:

ccp > Fix the null pointer bug in user.py

πŸ“ Rules, Commands & Skills

Claude CodePro extends Claude Code with a modular system of rules, commands, and skills:

Managed by CCP (updated on install):

  • .claude/commands/ - spec and sync commands are managed by CCP
  • .claude/rules/standard/ - Best practices and workflows
  • .claude/plugin/skills/ - Coding standards for languages and frameworks

Yours to customize (never touched by updates):

  • .claude/commands/ - Any command besides the standard ones
  • .claude/rules/custom/ - Project-specific rules
  • .claude/skills/ - Any skill besides the standards-* from CCP plugin

When to use what:

| Type | Loaded | Best for | | ------------ | --------------------------------- | --------------------------------------- | | Rules | Every session (always in context) | Guidelines Claude should always follow | | Commands | On demand via /command | Specific workflows or multi-step tasks | | Skills | Dynamically when relevant | Specialized knowledge, coding standards |


🀝 Contributing

Pull Requests - New features, improvements, and bug fixes are welcome. Fun fact: CCP is built with CCP β€” a self-improving loop where your contributions make the tool that makes contributions better. πŸ”„

Issues - Found a bug or have a feature request? Open an issue.


πŸ“„ License

Try free for 7 days β€” No signup, no credit card. Just install and go.

Why subscribe? Claude CodePro is actively developed with daily usage in production environments. Your subscription gives you instant access to the latest best practices, workflows, and learnings β€” a shortcut to state-of-the-art Claude Code development without spending weeks figuring it out yourself.

After your trial, choose the tier that fits your needs here:

| Tier | Includes | |:-----|:---------| | Standard | All features, continuous updates with latest learnings, GitHub support | | Enterprise | Standard + dedicated email support and priority feature requests |

See the LICENSE file for full terms.

5-Dim Analysis
Clarity8/10
Novelty8/10
Utility9/10
Completeness8/10
Maintainability7/10
Pros & Cons

Pros

  • Enforces TDD for reliable code
  • Automates quality checks and formatting
  • Supports multiple programming languages
  • Provides persistent memory for context

Cons

  • Requires initial setup and configuration
  • May have a learning curve for new users
  • Dependency on external tools like Docker
  • Limited to specific platforms

Related Skills

pytorch

S
toolCode Lib
92/ 100

β€œIt's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”

agno

S
toolCode Lib
90/ 100

β€œIt promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”

nuxt-skills

S
toolCo-Pilot
90/ 100

β€œIt's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”

Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author maxritter.