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Provides Claude Code slash commands for quickly generating, editing, and managing shell configuration files like .bashrc, .zshrc, and environment setup scripts.

Controls and filters bash command permissions in Claude Code by parsing commands, evaluating them against configurable security rules, and determining whether to allow, deny, or defer execution.

Enhances Claude's ability to write high-quality Bash scripts with best practices, proper error handling, and clean shell scripting patterns.

Enhances Claude Code's performance by implementing a Bash Loop architecture that prioritizes direct action, error self-correction, and efficient context preservation.

Git workflow automation including atomic commits, branch cleanup, and conventional commit standards

Proxmox VE cluster management including VM provisioning, templates, VLAN networking, and CEPH storage

Creates and composes multi-agent skills and interaction patterns for Claude Code plugins, enabling complex collaborative AI workflows.

Provides comprehensive plugin development tools for Claude Code, including Agent Skills, hooks, MCP integration, testing capabilities, and cross-platform Git Bash/Windows compatibility.

Generates robust bash scripts with comprehensive error handling, logging, and adherence to best practices for shell scripting.

Provides an isolated development environment for testing and experimenting with Claude Code plugin components, components, and interaction patterns.

Provides conversation pattern hooks to dynamically control and modify Claude's behavior during interactions through configurable trigger points.

Enhances Git functionality with advanced path conversion, stash management, and cross-shell compatibility for Git Bash and Windows environments.

Enhances Terraform interactions with Git Bash path handling, cross-platform state management, and improved shell detection for infrastructure-as-code workflows.

Provides developers with a comprehensive toolkit for creating, testing, and managing Claude Code plugins, including skills, agents, commands, and hooks.

Orchestrates end-to-end Ansible automation tasks through multi-agent collaborative pipelines, enabling complex infrastructure deployment and configuration workflows.

Enables Azure cloud management with 2025 features, providing cross-platform CLI support for ARM/Bicep deployments through Git Bash and Windows compatibility.

Enables comprehensive Azure cloud management with 2025 features, supporting cross-platform ARM/Bicep deployments and Git Bash/Windows CLI compatibility.

Enhances Git functionality with advanced path conversion, stash management, and cross-shell compatibility for Git Bash and Windows environments.

Enhances Docker interactions with Git Bash volume mount fixes, MINGW path conversion solutions, and improved Windows compatibility for Docker commands and workflows.

PostgreSQL + pgvector + PGroonga で構築する汎用GraphRAGスキル。スキーマ設計、インデックス、クエリパターンを生成。

Provides advanced shell scripting assistance, offering expert guidance, syntax validation, and optimization recommendations for bash, zsh, and other shell environments.

Development marketplace for cc-allow bash permission control

# MCP RDKit Project ## Overview The `mcp_rdkit` project integrates the RDKit library with the MCP (Model Context Protocol) framework to provide advanced chemical informatics tools. It includes functionalities for molecular visualization, descriptor calculation, and interaction with an MCP server. ## Features - **Molecular Visualization**: Generate images of molecules using RDKit. - **Descriptor Calculation**: Compute molecular descriptors such as molecular weight, logP, and more. - **MCP Server Integration**: Communicate with an MCP server for advanced chemical informatics tasks. ## Project Structure - `mcp_rdkit/` - `__main__.py`: Entry point for the application. It initializes the MCP server and runs it in "stdio" mode. - `rdkit_helper.py`: Contains helper functions for RDKit operations, including: - Converting PIL images to base64. - Interfacing with the MCP server. - Utilizing RDKit for chemical computations. - `setup.py`: Configuration for packaging and distribution. ## Requirements - Python 3.8 or higher - RDKit library - MCP framework ## Installation 1. Install the package using pip: ```bash pip install mcp-rdkit ``` 2. Run the application: ```bash python -m mcp_rdkit ``` ## Demo You can integrate this directly into Claude App:  .png) .png) ## Usage - **Run the MCP server**: The application starts an MCP server that can process chemical informatics tasks. - **Generate molecular images**: Use the RDKit helper functions to visualize molecules. - **Calculate descriptors**: Leverage RDKit's descriptor calculation tools for chemical analysis. ## MCP Configuration Example To use the RDKit server with MCP, add the following configuration to your `mcp` config file: ```json "rdkit-server": { "type": "stdio", "command": "python", "args": [ "-m", "mcp_rdkit" ] } ```