Skill UI

Automates change-data-capture pipeline planning by guiding developers through ETL, orchestration, and streaming best practices, then generating validated configs and code when “cdc pipeline creator” is requested.

Automates dashboard layout planning for data analytics tasks, guiding best practices, generating robust configs, and validating layouts for SQL-driven BI scenarios.

Guides multi-location retailers through demand forecasting, safety stock calculation, replenishment planning, promotional lift estimation, and ABC/XYZ segmentation, blending statistical best practices with ML-ready feature engineering to balance service levels and inventory costs.

Conversational research ideation assistant that helps scientists generate novel hypotheses, explore interdisciplinary analogies, challenge assumptions, and outline experiment pathways during early-stage planning.

SimPy is a powerful, process-based discrete-event simulation framework written in Python. It is designed for modeling complex systems where entities interact with shared resources and time-based events occur, such as manufacturing lines, service queues, network traffic, or logistics networks. Use this skill to analyze resource contention, simulate process optimization, conduct capacity planning, and model dynamic system behaviors.

Placeholder skill entry for risk modeling workflows that outlines basic analytics and scenario planning used to quantify potential losses and guide mitigation decisions.

This tool helps security analysts map Advanced Persistent Threat (APT) group tactics, techniques, and procedures (TTPs) to the MITRE ATT&CK framework. By utilizing the ATT&CK Navigator and the attackcti Python library, users can query STIX/TAXII data to visualize threat profiles, assess detection coverage gaps, and guide defensive planning for complex cyber incidents.

A powerful skill covering geospatial science, including GIS, remote sensing, spatial statistics, and machine learning for Earth observation. It supports processing of various data types (raster, vector, point cloud) from sources like Sentinel and Landsat, and integrates modern cloud-native workflows (STAC, COG). Ideal for environmental monitoring, urban planning, and advanced spatial modeling tasks.

This skill guides the creation of highly auditable, evidence-traceable market research reports. It provides a structured workflow for defining market scope, mapping every claim to primary sources (like official filings and statistics), and conducting rigorous, assumption-driven market sizing (TAM/SAM/SOM) and forecasting scenarios. Essential for professional market analysis and strategic planning.

This skill provides a comprehensive framework for securely inspecting and automating complex microscopy data workflows against OMERO.server. It utilizes omero-py and BlitzGateway to manage metadata, annotations, ROIs, tables, and raw files. Ideal for conducting scoped inventory, structured data export/import planning, and performing reviewed write operations while adhering to strict data security protocols.

Polars is a lightning-fast DataFrame library built for Python and Rust, leveraging Apache Arrow. It provides an expression-based API and lazy evaluation framework for highly efficient data manipulation. It is ideal for complex data pipelines, large-scale ETL tasks, and migrating from Pandas due to its superior performance, parallel execution capabilities, and optimized query planning.

This skill provides a comprehensive workflow for generating professional and structured financial reports. It guides the user through planning, writing, and editing various sections, and can also generate necessary chart configurations using visual tools. Ideal for condensing complex financial analysis into clear, actionable reports.