Skill UI

Generates a comprehensive and actionable UX research plan for any product feature or question. This skill covers the entire research lifecycle, including defining objectives, selecting methodology (e.g., usability testing, interviews), creating participant screeners, writing discussion guides, and structuring a synthesis framework. Ideal for product managers and UX researchers needing a structured approach to validate assumptions and drive design decisions.

This skill offers a comprehensive, framework-agnostic SEO workflow designed for sites with numerous tool, product, or feature pages. It addresses critical issues like duplicate content, generic meta tags, poor heading structure, and weak internal linking. By implementing strategies like the Content Registry pattern and boosting E-E-A-T, it helps large sites (50-500 pages) improve overall search rankings.

This skill conducts deep, structured competitor analysis using Browserbase's advanced discovery and enrichment tools. It generates a comprehensive HTML report that includes market overviews, detailed per-competitor deep dives (covering marketing, social, news, and technical aspects), side-by-side feature/pricing matrices, and comparative mentions feeds. Ideal for market researchers, product managers, and strategists needing actionable competitive intelligence.

This skill generates comprehensive, academic-style survey papers as a single, self-contained HTML file. By reading an anchor resource and curating research data, it structures the content and utilizes advanced LLMs (like Kimi K2.6 via Fireworks) to generate all prose, figures, and bibliographies, suitable for rapid academic literature review.

This skill enables the creation and maintenance of highly structured, configurable research wikis. It manages source provenance, compiling raw source materials into organized concept pages, index maps, and derived artifacts. Ideal for systematically documenting complex knowledge bases, such as research notes, product documentation, or domain studies, ensuring full traceability and consistency.

This tool provides a comprehensive security assessment framework for Retrieval-Augmented Generation (RAG) systems and vector databases. It tests critical vulnerabilities such as embedding inversion, cross-tenant data leakage, knowledge-base poisoning, and retrieval manipulation, aligning with OWASP LLM08:2025 standards. It is essential for validating the security posture of multi-tenant and vector-search applications.

Chainsaw is a fast, Rust-based tool for digital forensics and threat hunting. It enables analysts to rapidly perform Sigma rule checks and keyword searches across collected Windows Event Logs (.evtx) and specialized artifacts (like shimcache and SRUM). Ideal for first-response and offline analysis, it provides detection capabilities without needing a SIEM ingestion pipeline, allowing quick hypothesis testing in the field or air-gapped environments.

This PowerShell toolset performs advanced post-exploitation, reconnaissance, persistence, and data exfiltration against Microsoft 365/Entra ID tenants using the Microsoft Graph API. It operationalizes stolen Graph tokens to enumerate users, dump policies, escalate privileges, and search sensitive data across mailboxes, SharePoint, and Teams. Essential for authorized red teaming engagements.

A spectral vector search tool that enhances nearest-neighbor search with graph Laplacian features, capturing both semantic similarity and structural roles in embedding spaces.

A comprehensive skill for interacting with Weaviate vector databases. It enables advanced operations including semantic search, hybrid keyword querying, schema inspection, data exploration, collection creation, and bulk data import (CSV, JSON, PDF). Use this skill when you need to query data conceptually, retrieve specific raw objects, or manage the lifecycle of Weaviate collections.

This comprehensive skill provides an index of official blueprints and implementation guides for building full-stack, AI-powered applications using Weaviate. It covers advanced patterns such as Retrieval-Augmented Generation (RAG), agentic workflows, data exploration, and multimodal document search, guiding users through best practices for setup, clients, and frontends.

This skill facilitates detailed queries against the 1000 Genomes Project cohort (3,202 individuals). Users can find variants or individuals carrying specific genetic variants within defined regions. It supports querying relatedness, allele frequencies, and various clinical annotations (e.g., AlphaMissense, ClinVar), making it an essential tool for advanced genetic research and population studies.