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workflowintermediateClaude Code

Production-Ready Claude Code Development Workflow

This entry outlines a structured workflow for using the Claude Code AI assistant to build software projects more efficiently. By defining project context upfront in a CLAUDE.md file and using custom commands, development teams can reduce errors, manage API costs, and accelerate the entire coding process from planning to commit.

AI SETUP PROMPT

Paste into Claude Code — it will scan your project and set everything up

# Set Up Workflow: Production-Ready Claude Code Development Workflow

## What This Is
This entry outlines a structured workflow for using the Claude Code AI assistant to build software projects more efficiently. By defining project context upfront in a CLAUDE.md file and using custom commands, development teams can reduce errors, manage API costs, and accelerate the entire coding process from planning to commit.

Source: https://buildtolaunch.substack.com/p/claude-code-project-ideas

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)

Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?

## Source Access Note

The source URL (https://buildtolaunch.substack.com/p/claude-code-project-ideas) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.

## What to Implement

This is an **AI Workflow** — an end-to-end automation pattern or integration pipeline.

- Study the workflow architecture from the source and context below
- Identify which parts I can implement locally vs. parts that need external services
- For local parts: implement them using my existing stack and API keys
- For external parts: tell me exactly what services I need and help me configure the integration code
- Wire up any required API calls using keys from my .env files

## Additional Context

- Clone the workflow repository from 'https://github.com/OneRedOak/claude-code-workflows' into a local directory to use as a template.
- Scan the user's current project to identify its technology stack (e.g., React, Node.js), coding standards, and key file locations, then generate a new 'CLAUDE.md' file at the project root using the templates from the cloned repository as a guide.
- Copy the custom slash command scripts from the cloned repository's '.claude/commands/' directory into the user's project's corresponding '.claude/commands/' directory, creating the folder structure if it doesn't exist.

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it
3,073 charactersCompatible with Claude Code & Codex CLI
MANUAL SETUP STEPS
  1. 01Clone the workflow repository from 'https://github.com/OneRedOak/claude-code-workflows' into a local directory to use as a template.
  2. 02Scan the user's current project to identify its technology stack (e.g., React, Node.js), coding standards, and key file locations, then generate a new 'CLAUDE.md' file at the project root using the templates from the cloned repository as a guide.
  3. 03Copy the custom slash command scripts from the cloned repository's '.claude/commands/' directory into the user's project's corresponding '.claude/commands/' directory, creating the folder structure if it doesn't exist.

FIELD OPERATIONS

Autonomous TDD Component Generator

Create a system where you define a new UI component's requirements in a test file (e.g., Jest/RTL). The workflow then triggers Claude Code to read the test, generate the component code to make all tests pass, and create a basic documentation story in Storybook.

AI-Powered API Endpoint Scaffolder

Build an advanced slash command like `/new-api-endpoint <name>`. This command should prompt for a brief specification, then automatically generate the Node.js/Express route handler, an initial test suite (e.g., using Supertest), and a basic OpenAPI/Swagger documentation stub for the new endpoint.

STRATEGIC APPLICATIONS

  • →Standardize AI-assisted development across an engineering team by providing a shared repository of Claude Code workflows, slash commands, and project context templates, ensuring consistent code quality and faster onboarding for new developers.
  • →Accelerate the creation of minimum viable products (MVPs) by using the TDD workflow to define a feature specification in tests first, then directing Claude to generate the full implementation, documentation, and boilerplate code.

TAGS

#workflow#claude-code#CLAUDE.md#slash-commands#TDD#project-management#cost-optimization
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