Skill UI

Build a PyMISP-driven threat intelligence platform that ingests multiple IOC feeds, tags MITRE ATT&CK techniques, enriches data via VirusTotal and AbuseIPDB, and exports STIX 2.1 bundles for SIEM pipelines.

Builds a weighted multi-factor asset criticality model so remediation teams prioritize vulnerabilities based on business impact, data sensitivity, regulatory exposure, and recoverability, then tags vulns with tiers and SLA modifiers.

This skill guides the programmatic creation, enrichment, and secure sharing of threat intelligence within a MISP platform. Using the official PyMISP Python library, users can manage Indicators of Compromise (IOCs), apply MITRE ATT&CK tags, configure sharing groups, and export structured data in STIX 2.1 format. It is essential for security assessments, incident response, and automated threat intelligence pipelines.

This guide outlines comprehensive best practices for documenting Java code using Javadoc comments. It covers how to properly document public, protected, package-private, and private members, along with the correct usage of various tags like @param, @return, @throws, @see, and specialized syntax for code snippets and versioning. Following these standards ensures API documentation is accurate, maintainable, and adheres to professional Java development norms.

This comprehensive toolkit allows users to automate core marketing and CRM operations within ActiveCampaign. Key functionalities include managing contacts (creation, lookup), updating contact tags, subscribing/unsubscribing from lists, enrolling contacts in automation workflows, and creating associated follow-up tasks. It streamlines communication and customer lifecycle management.

Bulk migrate repo labels and Project V2 metadata into GitHub org issue fields, converting label-based tags into typed fields, optionally removing old labels, and syncing project field values for cleaner structured issue tracking.

Automates Klaviyo email/SMS marketing via Rube MCP, letting you list campaigns, inspect messages, manage tags, and track send jobs while respecting schema discovery and pagination patterns.

This tool provides comprehensive auditing, validation, and generation services for Hreflang tags, crucial for multilingual and multi-regional websites. It checks for common SEO mistakes, including missing self-referencing tags, broken return tags, invalid language/region codes (ISO standards), and canonical URL mismatches. It supports implementation across HTML, HTTP headers, and XML sitemaps, ensuring search engines correctly index all language versions.

Performs a focused audit of a single URL, scoring on-page elements, content quality, technical meta tags, schema, images, and performance hints for prioritized remediation.

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.

A comprehensive guide to setting up robust CI/CD pipelines for Algolia indexing. This includes running unit and integration tests against live indices, validating index settings against defined configurations, and implementing automated reindexing upon deployment (e.g., triggering on version tags). It ensures the stability and data consistency of your search service.