Skill UI

A robust Python client wrapper for interacting with the Zotero Web API v3. This skill allows users to programmatically manage academic references, including retrieving, creating, updating, and deleting items, collections, tags, and attachments. Ideal for academic researchers building automated workflows, bulk exporting citations (e.g., BibTeX), or integrating Zotero data into larger research applications.

TaskEither is a functional programming utility from fp-ts designed for handling asynchronous operations that might fail. It provides a robust, type-safe mechanism for managing complex async workflows, such as chained API calls or promise wrappers. Instead of relying on traditional try/catch blocks where errors can be lost, TaskEither forces the developer to explicitly handle both success and failure paths, making error management predictable and composable.

A lightweight integration providing full read/write access to Google Slides presentations. This tool allows users to programmatically create, inspect, modify, and extract content (including text and tables) from Google Workspace documents. Perfect for local automation tasks requiring full control over presentation structure and content without needing a dedicated server.

Guides security architects through designing and deploying a continuous CSPM program across AWS, Azure, and GCP, covering tool selection, policy baselines, automation, and SOC integration to monitor misconfigurations and prioritize remediation.

Establishes a repeatable, structured operational process for managing Microsoft Patch Tuesday security updates. The workflow guides users through advisory review, vulnerability triaging (including zero-days), phased testing, and deployment across major platforms (Windows, Azure, Office). Ideal for maturing patch management programs and defining risk-based remediation SLAs.

This guide outlines how to implement Google Cloud Identity-Aware Proxy (IAP) to enforce zero-trust, identity-based access control across various Google Cloud services (App Engine, Cloud Run, GKE, Compute Engine). It details configuring per-request authentication, context-aware policies (like device posture and location), and programmatic access management for highly secure internal applications.

This skill guides the implementation of a full Cyber Threat Intelligence (CTI) program across the six-phase intelligence lifecycle. It covers defining intelligence requirements (PIRs), building collection pipelines, normalizing data, performing analysis, and managing feedback loops. Ideal for maturing existing CTI teams or establishing foundational security intelligence capabilities.

This skill uses the python-gvm library to programmatically deploy and operate Greenbone/OpenVAS vulnerability management. It connects via the Greenbone Management Protocol (GMP) to create scan targets, execute vulnerability scans, and parse complex XML reports into structured, actionable JSON findings. Ideal for automating security assessments, compliance checks, and detailed vulnerability reporting.

This comprehensive guide details the implementation of a Vulnerability Remediation SLA program. It covers establishing mandatory patching timeframes based on asset criticality and CVSS severity, defining exception processes, setting up escalation chains, and integrating tracking metrics (KPIs) into existing ticketing systems. Use this when defining mandatory security patching policies or maturing vulnerability management processes.

A type-safe, declarative implementation of ReactiveX in Go. This library enables robust handling of infinite, asynchronous event streams (like WebSockets or tickers) by providing composable operators, automatic backpressure management, and error propagation. It is designed to replace complex, error-prone manual channel and goroutine wiring, allowing developers to build predictable, real-time, event-driven pipelines.

This skill provides comprehensive management for annotation schemas (configs) and human review workflows (queues) within the Arize platform. It supports defining categorical, continuous, and freeform label types. Users can programmatically apply these annotations to project spans and datasets using the Python SDK, facilitating structured human feedback loops and improving model monitoring.

This comprehensive tool automates nearly every aspect of Google Sheets management. Users can programmatically read, write, update, and append data across multiple ranges. Key functionalities include creating new spreadsheets, managing tabs (renaming, hiding), applying cell formatting, filtering data, performing lookups, and performing 'upsert' operations (update or insert records based on a unique key). Ideal for integrating spreadsheet data into automated workflows.