AWESOMECLAUDECODE

claude-code-ide.el integrates Claude Code with Emacs, like Anthropic’s VS Code/IntelliJ extensions. It shows ediff-based code suggestions, pulls LSP/flymake/flycheck diagnostics, and tracks buffer context. It adds an extensible MCP tool support for symbol refs/defs, project metadata, and tree-sitter AST queries.

An Emacs interface for Claude Code CLI.

A seamless integration between Claude Code AI assistant and Neovim.

A full-fledged desktop application for orchestrating, monitoring, and interacting with Claude Code agents.

Claude Squad is a terminal app that manages multiple Claude Code, Codex (and other local agents including Aider) in separate workspaces, allowing you to work on multiple tasks simultaneously.

Launch Claude Code session that is connected to a swarm of Claude Code Agents.

A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI.

A specialized tool to manage context isolation and focused task execution with Claude Code, solving the critical challenge of context length limitations and task focus when working with Claude on complex, multi-step projects.

Spawn and control multiple Claude Codes in parallel from your phone or desktop. Happy Coder runs Claude Code on your hardware, sends push notifications when Claude needs more input or permission, and costs nothing.

A Rust CLI tool that lets you delegate development tasks to AI agents running in sandboxed Docker environments. Multiple agents work in parallel, returning git branches for human review.

Claude Code usage dashboard with a web-UI that would put Tableau to shame. Thoroughly comprehensive metrics, frictionless setup, detailed logging, really really nice UI.

A real-time terminal-based tool for monitoring Claude Code token usage. It shows live token consumption, burn rate, and predictions for token depletion. Features include visual progress bars, session-aware analytics, and support for multiple subscription plans.

A community-driven leaderboard tool that enables developers to visualize, track, and compete based on their Claude Code usage statistics. It features robust data analytics, GitHub OAuth, data validation, and user-friendly CLI/web submission methods.

Activates virtual environments, runs CI-compatible check scripts, iteratively fixes errors, and ensures all tests pass before completion.

Addresses code formatting and quality issues by fixing black formatting problems, organizing imports with isort, resolving flake8 linting issues, and correcting mypy type errors.

Provides a menu of advanced code analysis commands for deep inspection, including knowledge graph generation, optimization suggestions, and quality evaluation.

Analyzes code performance to identify bottlenecks, proposing concrete optimizations with implementation guidance for improved application performance.

Creates reproducible test cases for GitHub issues, ensuring tests fail reliably and documenting clear reproduction steps for developers.

Guides development using Test-Driven Development principles, enforcing Red-Green-Refactor discipline, integrating with git workflow, and managing PR creation.

Implements Test-Driven Development by analyzing feature requirements, creating tests first (red), implementing minimal passing code (green), and refactoring while maintaining tests.

Initializes reference documentation structure with standard doc templates, API reference setup, documentation conventions, and placeholder content generation.

Loads LLM configuration files to context, importing specific terminology, model configurations, and establishing baseline terminology for AI discussions.

References specific files for sparse matrix operations, explains transform usage, compares with previous approaches, and sets data formatting context for development.

Sets context for model training by referencing pipeline files, establishing working context, and preparing for pipeline work with relevant documentation.

Sets up initial project context by viewing directory structure and reading key files, creating standardized context with directory visualization and key documentation focus.

Reads all commands and key project files to optimize AI-assisted development by streamlining the process, loading command context, and setting up for better development workflow.

Analyzes code structure and purpose to create comprehensive documentation detailing inputs/outputs, behavior, user interaction flows, and edge cases with error handling.

Generates comprehensive documentation that follows project structure, documenting APIs and usage patterns with consistent formatting for better user understanding.

Documents solution approaches for GitHub issues, explaining technical decisions, detailing challenges overcome, and providing implementation context for better understanding.

Reviews current documentation status, updates implementation progress, reviews phase documents, and maintains documentation consistency across the project.

Focuses on Gene Ontology annotation integration in graph databases, handling multiple data sources, addressing graph representation issues, and ensuring correct data incorporation.

Generates Mermaid diagrams from SQL schema files, creating entity relationship diagrams with table properties, validating diagram compilation, and ensuring complete entity coverage.

Reviews old Dcell implementation files, comparing with newer Dango model, noting changes over time, and analyzing refactoring approaches for better code organization.

Reformats documentation to use React Stepper component, transforming heading formats, applying proper indentation, and maintaining markdown compatibility with admonition formatting.

Creates Jobs-to-be-Done frameworks that outline user needs with structured format, focusing on specific user problems and organizing by job categories for product development.

Generates comprehensive product requirement documents outlining detailed specifications, requirements, and features following standardized document structure and format.

Creates product requirement plans by reading PRP methodology, following template structure, creating comprehensive requirements, and structuring product definitions for development.

Implements GitHub issues with manual review points, following a structured approach with issue number parameter and offering alternative automated mode for efficiency.

Creates customizable greeting components with name input, demonstrating argument passing, component reusability, state management, and user input handling.

A convenient command to quickly manage project todo items without leaving the Claude Code interface, featuring due dates, sorting, task prioritization, and comprehensive todo list management.

Streamlines bug fixing by creating a GitHub issue first, then a feature branch for implementing and thoroughly testing the solution before merging.

Creates git commits using conventional commit format with appropriate emojis, following project standards and creating descriptive messages that explain the purpose of changes.

Automates git commit process by selecting the first suggested message, generating structured commits with consistent formatting while skipping manual confirmation and removing Claude co-Contributorship footer

Streamlines pull request creation by handling the entire workflow: creating a new branch, committing changes, formatting modified files with Biome, and submitting the PR.

Provides comprehensive PR creation guidance with GitHub CLI, enforcing title conventions, following template structure, and offering concrete command examples with best practices.

Creates git worktrees for all open PRs or specific branches, handling branches with slashes, cleaning up stale worktrees, and supporting custom branch creation for development.

Analyzes and fixes GitHub issues using a structured approach with GitHub CLI for issue details, implementing necessary code changes, running tests, and creating proper commit messages.

Addresses GitHub issues by taking issue number as parameter, analyzing context, implementing solution, and testing/validating the fix for proper integration.

Fetches and fixes unresolved PR comments by automatically retrieving feedback, addressing reviewer concerns, making targeted code improvements, and streamlining the review process.

Sets up and manages Husky Git hooks by configuring pre-commit hooks, establishing commit message standards, integrating with linting tools, and ensuring code quality on commits.

Reviews pull request changes to provide feedback, check for issues, and suggest improvements before merging into the main codebase.

Updates branch names with proper prefixes and formats, enforcing naming conventions, supporting semantic prefixes, and managing remote branch updates.

Serves as a development reference for E2E-encrypted messaging applications with code organization architecture, security implementation details, and testing procedures.

Enables real-time multiplayer capabilities for collaborative course creation with diverse tech stack integration and monorepo architecture using Turborepo.

Creates a versatile AI command interface supporting multiple providers and models with flexible command options and browser automation through Stagehand feature.

Serves as development guide for Guitar Git GUI Client with build commands for various platforms, code style guidelines for contributing, and project structure explanation.

Presents detailed implementation plan for AI-driven game characters with technical specifications for LLM integration, character guidelines, and service discovery mechanics.

Provides detailed styling isolation techniques for Obsidian plugins using Tailwind with custom prefix to prevent style conflicts and practical troubleshooting steps.

Serves as development guide for Mac security audit tool with build instructions, contribution guidelines, testing procedures, and workflow documentation.

Clear and direct instructives about style, permissions, Claude's role, communications, and documentation of Claude Code sessions for other team members to stay abreast.

Features multiple Python environment setup options with detailed code style guidelines, comprehensive error handling recommendations, and security considerations for AWS CLI interactions.

Delivers comprehensive Gradle commands for cross-platform Kotlin Multiplatform development with clear module structure and practical guidance for dependency injection.

Offers detailed build and test commands with strict code style enforcement, comprehensive testing requirements, and standardized development workflow using Black and mypy.

Provides detailed build and test commands using pnpm and Vitest with strict code formatting requirements and comprehensive naming conventions for code consistency.

Features comprehensive repository structure breakdown with strong emphasis on coding standards, detailed Rust documentation guidelines, and systematic PR review process.

Structures development workflow using pnpm with emphasis on TypeScript and Vue 3 Composition API, detailed component creation process, and comprehensive testing recommendations.

Provides development guide for JavaScript BBC Micro emulator with build and testing instructions, architecture documentation, and debugging workflows.

Serves as reference for production prompt engineering library with load balancing of AI Models, API documentation, and usage patterns with examples.

Offers comprehensive build and test commands with detailed TypeScript style guidelines, layered library architecture, and monorepo structure using yarn workspaces.

Details workflow for REPL-driven development in Clojure/ClojureScript with emphasis on incremental development, testing, and step-by-step approach for feature implementation.

Provides comprehensive structure for TypeScript monorepo projects with detailed commands for development, testing, deployment, and AWS/Cloudflare integration.

Enforces strict coding conventions with comprehensive testing guidelines, multiple code compilation options, and backend-specific test decorators for targeted filtering.

Details Go project conventions with comprehensive error handling recommendations, table-driven testing approach guidelines, and modernization suggestions for latest Go features.

Provides detailed and emphatic instructions for Claude to follow as a coding agent, with testing guidance, code examples, and compliance checks.

Offers clear step-by-step installation instructions with multiple configuration options, detailed troubleshooting guidance, and concise architecture overview of the MCP protocol.