Skill UI

A comprehensive guide for defining, tracking, and interpreting product metrics across all stages—from discovery to maturity. This skill covers selecting metric frameworks (AARRR, HEART), defining stage-appropriate KPIs, designing multi-layered dashboards, and executing deep analyses like cohort and retention modeling. It helps teams transform raw data into actionable product strategies, moving beyond vanity metrics.

Parse Windows Prefetch files with windowsprefetch to rebuild execution timelines, flag renamed binaries, and surface suspicious programs for incident responders hunting attacker activity.

Extract embedded Agent Tesla RAT configuration such as SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 data from .NET assemblies via dnSpy/ILSpy decompilation and memory analysis for malware research or red-team validation.

Programmatically implements the Diamond Model to structure intrusion data, link events into activity threads, discover pivots by shared infrastructure or capabilities, and output intelligence-ready reports for threat analysts.

Analyzes Siemens SIMATIC S7comm and S7CommPlus traffic to surface replay attacks, integrity bypasses, unauthorized CPU stops, and program download manipulation across S7-300/400/1200/1500 PLCs.

An advanced debugging skill designed for AI agents. It utilizes gdb-cli to provide intelligent assistance for C/C++ programs, enabling the analysis of core dumps, debugging live processes, and investigating complex issues like crashes, deadlocks, and memory corruption. It correlates runtime state inspection with source code context for deeper insights.

This skill provides programmatic access to Alpha Vantage's extensive global financial dataset. It enables the retrieval of historical and real-time data across diverse asset classes, including equities, options, forex, cryptocurrencies, commodities, and key economic indicators. Ideal for quantitative research, market trend analysis, and building financial dashboards.

Generates consulting-grade research reports in markdown, guiding users through framework creation and final synthesis across market, finance, brand, and industry domains with strict data traceability.

Dask is a Python library that scales pandas/NumPy workflows beyond RAM by parallelizing DataFrames, Arrays, Bags, and custom tasks across cores or clusters for ETL, log analysis, and distributed ML.

FluidSim is a high-performance, object-oriented Python framework for Computational Fluid Dynamics (CFD). It enables users to simulate complex physical flows, including 2D/3D Navier-Stokes equations, shallow water dynamics, and stratified flows. Utilizing pseudospectral methods with FFT and MPI parallelization, it delivers scientific accuracy comparable to compiled languages while maintaining the ease of Python development. Ideal for academic research, industrial flow analysis, and geophysical modeling.

Defines a Markdown/Mermaid-first documentation skill for scientific and technical writing, providing diagram standards, 24 reference types, and templates so every report, README, or analysis stays text-first, versionable, and visualization-ready.

Query the PrimeKG precision medicine knowledge graph to explore genes, drugs, diseases, phenotypes, and their relationships, supporting drug discovery, repurposing, and phenotype analysis through programmatic scripts.