Claude Code Resources - AI Development Automation
Curated collection of 14 custom commands, 11 knowledge guides, and automation workflows for development with Claude Code AI assistant.
AI AutomationClaude CodeDeveloper ToolsProductivity
Curated collection of 14 custom commands, 11 knowledge guides, and automation workflows for development with Claude Code AI assistant.
Claude Code Resources is a curated collection of custom commands, knowledge base articles, and automation workflows designed for development productivity with Claude Code. This resource library extends Claude Code's capabilities, handling everything from daily summaries to client onboarding, component libraries to content creation.
This is not a standalone application but a curated collection of configurations, commands, and knowledge that extends Claude Code's capabilities. Think of it as a 'starter pack' for professional developers who want to automate repetitive tasks, standardize workflows, and leverage AI across their entire development lifecycle. The resources are stored in the .claude/ directory at your workspace root and integrate seamlessly with Claude Code's existing functionality.
The collection includes 14 custom commands organized by category. Each command is a self-contained markdown file that instructs Claude Code on how to perform specific tasks, maintaining consistency across repeated executions.
The knowledge base includes 11 comprehensive guides that teach Claude Code specialized skills and domain knowledge. These guides act as 'subagents' that extend Claude's capabilities in specific areas.
The resource collection includes configurations for Model Context Protocol (MCP) servers that extend Claude Code's capabilities: GitHub integration for repository management, Perplexity integration for web search and research, and Playwright integration for browser automation and testing. These integrations are pre-configured and ready to use with the included settings.json configuration file.
These resources power real production workflows across multiple projects. The /client-new command automates client onboarding setup. The /project-status command generates client reports on-demand. The /component-save command helps document reusable components across projects. The knowledge guides provide systematic approaches for code review and debugging.
With Claude's Sonnet 4.5 model, parallel tool execution has transformed development workflows. Instead of sequential file processing, Claude Code now coordinates subagents to run tasks simultaneously. What previously took 20 minutes of sequential operations—TypeScript checking, ESLint fixes, import cleanup—now runs in parallel, dramatically reducing iteration time.
Commands are written in markdown with structured prompts that instruct Claude Code on task execution. Knowledge guides use comprehensive documentation format with examples, anti-patterns, and decision trees. The .claude/ directory structure follows Claude Code's conventions with /commands/ for custom commands, /knowledge/ for reference documentation, and settings.json for MCP server configurations. All resources are version-controlled and portable across workspaces.
Detailed tutorials and implementation stories for each command and knowledge guide are being published as blog posts on this site. These stories will cover: how to create custom commands from scratch, advanced prompt engineering techniques for better AI assistance, building custom MCP servers for specific workflows, case studies showing real-world productivity gains, and a complete guide to setting up a professional Claude Code workspace. Check the Stories section for in-depth tutorials and implementation details.
Claude Code Resources is designed to be shared and extended. The entire collection is open-source, allowing developers to learn from, adapt, and contribute back improvements. As the Claude Code ecosystem grows, this resource library will evolve with new commands, updated knowledge guides, and additional MCP server integrations. Community contributions are welcome for new use cases, improved prompts, and specialized domain knowledge.