ChrisWiles/claude-code-showcase
Claude Code Showcase
This is a curated gallery of real-world workflows demonstrating how to use Claude Code for AI-driven coding, debugging, and development automation. The showcase includes executable scripts that reproduce each AI interaction locally, allowing you to see exactly how the assistant generates, explains, and modifies code within a development environment.
The project shows how to build custom AI agents with targeted prompts and multi-step slash commands, define project-wide memory that persists across sessions, and inject domain-specific knowledge through markdown files. It also demonstrates integrating external tools like issue trackers and CI pipelines, configuring automated code review and quality checks, and using the language server protocol for real-time code understanding.
Covered workflows range from systematic root-cause debugging and test-driven development to form handling and design system integration. Each example is extracted from source files during a static site build, ensuring that the code snippets stay in sync with actual usage.
Features
- Workflow Showcases - Workflows for building custom AI agents, automating code review, and running continuous integration tasks with Claude Code.
- Workflow Galleries - Serves as a curated gallery of real-world, executable workflows demonstrating Claude Code's AI-driven development capabilities.
- AI Coding Assistants - Using an AI coding assistant to generate, explain, and modify code in real time within the development environment.
- Context-Aware Skill Suggestions - Analyze prompts to recommend and activate the most appropriate domain-specific knowledge files.
- Integration Patterns - Examples showing how to integrate Claude Code with external tools, design systems, CI pipelines, and project-specific knowledge.
- Custom-Prompted Agents - Defines focused AI assistants with custom prompts for code review or workflow management.
- Persistent Context Management - Storing project-wide instructions and domain knowledge that automatically load into every new AI conversation session.
- Structured Debugging Processes - Performing systematic root cause analysis of software bugs with guidance from an AI coding assistant through a phased process.
- Structured Debugging Workflows - Systematically identifying and fixing software bugs using a structured root cause analysis process guided by an AI assistant.
- Markdown-Based Injections - Loads domain-specific conventions and patterns from local markdown files into the assistant's active context.
- Custom AI Assistant Development - Creating specialized AI assistants with custom prompts and project-specific knowledge for targeted development tasks.
- Context and Memory Management - Demonstrates how to define persistent project memory, inject domain knowledge, and create custom slash commands for Claude Code.
- Code Generation and Assistance - Uses a large language model to generate, explain, and modify code in real time within the development environment.
- Slash Command Interfaces - Defines custom chat commands that execute a sequence of actions with a single invocation.
- Custom AI Workflows - Building specialized AI assistants with custom prompts and multi-step slash commands for targeted development tasks.
- Continuous Integration & Deployment - Running scheduled or event-driven tasks for code review, dependency audits, and deployment across repositories.
- Project-Wide Prompt Files - Stores a project-wide prompt file that is automatically injected at the start of every new conversation.
- Debugging Methodologies - Follows a four-phase debugging process to perform root cause analysis on software issues.
- Automated Code Review - Running event-triggered code quality checks, security audits, and deployment tasks without manual intervention.
- External Tool Integrations - Connects to issue trackers, repositories, databases, and communication platforms through a standardized protocol.
- Language Server Protocols - Gain real-time code understanding with type checking, error detection, and symbol navigation.
- CI Workflow Automations - Runs scheduled or event-driven tasks for code review, quality checks, and dependency audits.
- Test-Driven Development Workflow - Runs tests using a test-driven development workflow with a testing framework and mocking strategies.
- Agentic Code Reviews - Ships a specialized AI agent that reviews pull requests and provides contextual feedback using project-specific knowledge.
- Test-Driven Development Workflows - Demonstrates a test-driven development workflow where AI assists in generating test cases and managing mock dependencies.
- Component-Based UI Libraries - Composes reusable UI components using a design system to present workflow examples consistently.
- Design System Components - Incorporates design system components, tokens, and a UI library into the user interface.
- Form Handling - Manages form structure, validation, and submission using patterns from a form handling library.
