Skills Directory
Claude Skills by jcasnellie69
github.com/jcasnellie69Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
Generate a complete MCP server project in Python with tools, resources, and proper configuration
Generate a complete MCP server project in Python with tools, resources, and proper configuration
Generate a complete MCP server project in Python with tools, resources, and proper configuration
Python single-file script development using uv and PEP 723 inline metadata, preventing invalid patterns like [tool.uv.metadata].
Python single-file script development using uv and PEP 723 inline metadata, preventing invalid patterns like [tool.uv.metadata].
Python single-file script development using uv and PEP 723 inline metadata, preventing invalid patterns like [tool.uv.metadata].
Python single-file script development using uv and PEP 723 inline metadata, preventing invalid patterns like [tool.uv.metadata].