Skill UI

A comprehensive guide for diagnosing physical and logical network failures, such as CRC errors, packet drops, duplex mismatches, and flapping. It teaches users how to analyze interface counters and trends across routers, switches, and Linux hosts to pinpoint the root cause of connectivity issues.

Pilot Protocol is an open-source overlay network providing AI agents with first-class network citizenship. It offers permanent virtual addresses, encrypted P2P communication, NAT traversal, and a structured app store. Use this skill when agents require stable networking across cloud changes, need direct, secure messaging without shared accounts, or must integrate structured external data services (e.g., live crypto prices) via local, typed capabilities.

This skill guides users through connecting external services, proprietary APIs, or custom tools to the Digital Marketing Pro plugin. It manages the entire integration lifecycle: searching the npm registry for pre-built packages, generating complex MCP JSON configurations, handling environment variables, and executing connectivity tests. Essential for expanding plugin functionality with external data sources like CRM, payment gateways, or specialized analytics platforms.

This skill serves as a comprehensive pre-flight check to ensure a brand profile is complete and all linked credentials/connectors are reachable. It validates required identity fields, voice/audience completeness, and live connector connectivity, without exposing any sensitive credential values. Use it after onboarding, key rotation, or profile edits to guarantee production readiness.

NetworkX is a powerful Python package designed for creating, manipulating, and analyzing complex networks and graphs. It supports various graph types (Directed, Undirected, MultiGraphs) and provides extensive functionality for graph algorithms, including shortest path calculation, centrality measures (like PageRank), community detection, and connectivity checks. Users can generate synthetic networks, read/write data from multiple formats (GraphML, CSV, Pandas), and visualize results using Matplotlib. Ideal for social network analysis, biological research, and system modeling.