Skill UI

This guide details how to implement AWS Config managed and custom rules to establish continuous compliance monitoring for AWS resources. It helps detect configuration drift against standards like CIS and PCI DSS, enabling automated remediation using services like SSM Automation. It is ideal for building centralized compliance dashboards and aggregating audit evidence across multiple AWS accounts via AWS Organizations.

This comprehensive guide details how to deploy and configure AWS Security Hub across multi-account AWS Organizations. It aggregates security findings from various AWS services (GuardDuty, Inspector, Macie, etc.) to enforce continuous compliance against industry standards like CIS, PCI DSS, and NIST. Use this skill to build centralized compliance dashboards and automated remediation workflows for robust security posture management.

This skill guides the implementation of email sandboxing using Proofpoint Targeted Attack Protection (TAP). It covers configuring isolated detonations for suspicious attachments and URLs to detect zero-day malware, evasive phishing, and advanced threats. Learn to tune policies, monitor the TAP dashboard, and integrate findings with SIEM for robust email security architecture.

Guides on using SwanLab for open-source ML experiment tracking, offering local or self-hosted dashboards, rich media logging, and integrations with PyTorch, Transformers, Lightning, or Fastai for comparing runs and monitoring metrics.

This guide details how to build an MCP app, which is an MCP server enhanced to serve interactive UI resources. It allows developers to render complex widgets—such as forms, pickers, dashboards, and confirmation dialogs—directly inline within a chat conversation. Learn about the architecture, host specifics, and when to use a widget versus standard text output.

Launches an interactive web dashboard designed to visualize the knowledge graph derived from a target codebase. This tool helps developers gain a high-level, structural understanding of complex projects by mapping out relationships, module dependencies, and the overall knowledge network of the code, making maintenance and onboarding significantly easier.

Trackio is an essential library for logging, visualizing, and analyzing machine learning training experiments. It provides multi-interface support: a Python API for real-time metric logging and alert firing during training; a Command Line Interface (CLI) for retrieving historical metrics and alerts; and synchronization capabilities to Hugging Face Spaces for persistent dashboards. This tool is crucial for debugging, diagnosing training issues (like loss spikes), and automating ML workflow iteration.

Plotly is a powerful Python graphing library designed to create highly interactive, publication-quality visualizations. It supports over 40 chart types, including scatter plots, heatmaps, candlestick charts, and geographical maps. Ideal for building sophisticated dashboards, conducting deep exploratory data analysis, and creating rich, web-embeddable presentations with features like zooming, panning, and hover tooltips.

Extracts business domain knowledge from a codebase, optionally reusing an existing knowledge graph, and generates an interactive horizontal flow graph for dashboard visualization, with lightweight scanning and validation steps.

This tool guides the creation of actionable monitoring dashboards for observability platforms like Grafana and SigNoz. Instead of merely displaying raw metrics, it focuses on structuring data to answer critical operational questions: Is the system healthy? Where are the bottlenecks? What changes occurred? And what action should be taken? It transforms raw metrics into decision-making tools.

This utility ensures the prevention of silent floating-point mismatch bugs across all EVM chains. It covers runtime querying of decimals, chain-aware caching, handling precision drift in bridged tokens, and safe normalization for bots, dashboards, and DeFi tools. It is crucial for accurate cross-chain balance comparison.

Craft production-ready frontend pages, dashboards, or components with a clear visual point of view; focus on typography, color, motion, and layout so the experience feels intentional instead of generic.