Skill UI

This skill provides comprehensive techniques for optimizing prompts used with any Large Language Model (LLM). It teaches proven methodologies—including Role definition (R), Context setting (S), Constraints (C), Instructions (I), and Templates (T)—to transform vague inputs into precision-engineered instructions. Users can reliably achieve structured JSON output, implement Chain-of-Thought reasoning, reduce hallucinations, and minimize token usage, ensuring consistent and high-quality results across different AI platforms.

This skill generates a comprehensive, structured medical summary card for quick access during emergencies, travel, or hospital visits. It extracts critical user data, including severe allergies, active medications, chronic conditions, implants, and emergency contacts. Supports multi-format output (HTML, JSON, PDF) and prioritizes information by medical urgency (P0-P2) for rapid deployment in critical situations.

This skill provides comprehensive read-only access to explore, query, and analyze datasets hosted on Hugging Face. It utilizes the Dataset Viewer API to list splits, preview rows, perform text searches, filter records, and retrieve crucial metadata and Parquet links. Furthermore, it supports advanced data extraction by enabling complex SQL querying (via parquetlens) directly against dataset shards, allowing export into CSV, JSON, or Parquet formats.

This skill generates a complete, opinionated, modern full-stack Rails application boilerplate. It sets up a robust tech stack including Rails 8, PostgreSQL, React, Inertia.js, Vite, Tailwind CSS, Sidekiq, and Redis. Designed for developers who need a starting point that adheres to best practices for database structure (UUIDs, JSONB), background job processing, comprehensive testing, and modern frontend development (TSX). Ideal for bootstrapping complex, production-grade web services.

Guides developers through authenticating and calling Odoo’s JSON-RPC and XML-RPC endpoints from Python, JavaScript, or curl, including CRUD examples, best practices, and debugging tips for middleware or automation scripts.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.

A comprehensive design specification detailing 98 rules for building Command Line Interface (CLI) tools that are safe, reliable, and easily consumable by AI agents. It covers structured JSON output formats, standardized error handling (to stderr), robust input contracts, safety guardrails (e.g., preventing path traversal), and tiered compliance levels (Agent-Friendly, Agent-Ready, Agent-Native) for seamless integration into AI workflows.

This tool parses Kubernetes API server audit logs (JSON lines) to detect critical security events. It specifically targets unauthorized access, secret enumeration, RBAC escalation, privileged pod creation, and shell access (exec/attach). Use it for incident response, threat hunting, or building SIEM detection rules.

A specialized threat hunting skill designed to detect remnants of the PowerShell Empire post-exploitation framework. It analyzes Windows event logs (specifically Script Block and Module Logging) for key Indicators of Compromise (IOCs), such as default launcher strings, Base64 encoded payloads, known module signatures (e.g., Mimikatz), and staging URL patterns. The output provides a detailed JSON report, comprehensive timeline, and MITRE ATT&CK mapping for incident response and security validation.

Timesketch is a collaborative, open-source platform for security teams to analyze and reconstruct complex forensic timelines. It ingests and normalizes multi-source security data (logs, artifacts) using methods like Plaso, CSV, and JSONL. Users can visualize event chronology, track attack chains, and utilize advanced built-in analyzers (e.g., Sigma, Chain of Events) for comprehensive incident investigation and documentation.

A comprehensive guide to deploying and configuring Suricata, a high-performance IDS/IPS. This skill covers setting up multi-threaded packet capture, integrating Emerging Threats rulesets, generating structured EVE JSON logs, and enabling deep protocol inspection (HTTP, TLS, DNS). It enables real-time threat detection and seamless SIEM integration for centralized security monitoring.

This skill analyzes AWS CloudTrail logs to detect suspicious API call patterns, such as new event sources, geographic anomalies, or high-frequency usage. It establishes a statistical baseline of normal activity and flags deviations indicative of compromised credentials, privilege escalation, or insider threats, providing a detailed JSON report for security investigation and threat hunting.