How to: Language-Specific
- [AI IntelliJ Plugin](https://github.com/didalgolab/ai-intellij-plugin/blob/main/CLAUDE.md) by [didalgolab](https://github.com/didalgolab) - Provides comprehensive Gradle commands for IntelliJ plugin development with platform-specific coding patterns, detailed package structure guidelines, and clear internationalization standards.
- [AWS MCP Server](https://github.com/alexei-led/aws-mcp-server/blob/main/CLAUDE.md) by [alexei-led](https://github.com/alexei-led) - Features multiple Python environment setup options with detailed code style guidelines, comprehensive error handling recommendations, and security considerations for AWS CLI interactions.
- [DroidconKotlin](https://github.com/touchlab/DroidconKotlin/blob/main/CLAUDE.md) by [touchlab](https://github.com/touchlab) - Delivers comprehensive Gradle commands for cross-platform Kotlin Multiplatform development with clear module structure and practical guidance for dependency injection.
- [EDSL](https://github.com/hesreallyhim/awesome-claude-code/blob/main/resources/claude.md-files/EDSL/CLAUDE.md) by [expectedparrot](https://github.com/expectedparrot) - Offers detailed build and test commands with strict code style enforcement, comprehensive testing requirements, and standardized development workflow using Black and mypy. *(Removed from origin)*
- [Giselle](https://github.com/giselles-ai/giselle/blob/main/CLAUDE.md) by [giselles-ai](https://github.com/giselles-ai) - Provides detailed build and test commands using pnpm and Vitest with strict code formatting requirements and comprehensive naming conventions for code consistency.
- [HASH](https://github.com/hashintel/hash/blob/main/CLAUDE.md) by [hashintel](https://github.com/hashintel) - Features comprehensive repository structure breakdown with strong emphasis on coding standards, detailed Rust documentation guidelines, and systematic PR review process.
- [Inkline](https://github.com/inkline/inkline/blob/main/CLAUDE.md) by [inkline](https://github.com/inkline) - Structures development workflow using pnpm with emphasis on TypeScript and Vue 3 Composition API, detailed component creation process, and comprehensive testing recommendations.
- [JSBeeb](https://github.com/mattgodbolt/jsbeeb/blob/main/CLAUDE.md) by [mattgodbolt](https://github.com/mattgodbolt) - Provides development guide for JavaScript BBC Micro emulator with build and testing instructions, architecture documentation, and debugging workflows.
- [Lamoom Python](https://github.com/LamoomAI/lamoom-python/blob/main/CLAUDE.md) by [LamoomAI](https://github.com/LamoomAI) - Serves as reference for production prompt engineering library with load balancing of AI Models, API documentation, and usage patterns with examples.
- [LangGraphJS](https://github.com/langchain-ai/langgraphjs/blob/main/CLAUDE.md) by [langchain-ai](https://github.com/langchain-ai) - Offers comprehensive build and test commands with detailed TypeScript style guidelines, layered library architecture, and monorepo structure using yarn workspaces.
- [Metabase](https://github.com/metabase/metabase/blob/master/CLAUDE.md) by [metabase](https://github.com/metabase) - Details workflow for REPL-driven development in Clojure/ClojureScript with emphasis on incremental development, testing, and step-by-step approach for feature implementation.
- [SG Cars Trends Backend](https://github.com/sgcarstrends/backend/blob/main/CLAUDE.md) by [sgcarstrends](https://github.com/sgcarstrends) - Provides comprehensive structure for TypeScript monorepo projects with detailed commands for development, testing, deployment, and AWS/Cloudflare integration.
- [SPy](https://github.com/spylang/spy/blob/main/CLAUDE.md) by [spylang](https://github.com/spylang) - Enforces strict coding conventions with comprehensive testing guidelines, multiple code compilation options, and backend-specific test decorators for targeted filtering.
- [TPL](https://github.com/KarpelesLab/tpl/blob/master/CLAUDE.md) by [KarpelesLab](https://github.com/KarpelesLab) - Details Go project conventions with comprehensive error handling recommendations, table-driven testing approach guidelines, and modernization suggestions for latest Go features.