Data & Analytics

Use this skill to calculate total payment processing fees for a merchant over a specified time period (e.g., a specific day, month, or year) in the dabstep dataset. Apply when asked: "What are the total fees that [merchant] paid in [period]?", "What is the total fees for [merchant] on [day]?", or any question requiring summing per-transaction fees using the fees.json rule engine.

Solve payment routing and cost optimization problems in the dabstep dataset. Use this skill for questions about which card scheme to steer merchant traffic to (for minimum or maximum fees), or which Authorization Characteristics Indicator (ACI) to incentivize for fraudulent transactions to minimize fees. Always invoke this skill when the question asks about steering traffic, optimal card scheme selection, or ACI optimization with fee comparison.

Solve Fraud_and_General_Macro_Analysis questions in the dabstep payment processing dataset. Use this skill for macro-level transaction analysis questions: fraud rates, fraud comparisons by segment, percentage calculations, correlation analysis, most-frequent category lookups, and population-level statistics across merchants, countries, card schemes, and payment methods. Trigger whenever questions ask about fraud rates, fraudulent disputes, transaction counts by category, most/highest/lowest s...

Solves fee delta and impact simulation problems in the dabstep payment processing dataset. Use this skill for questions about: (1) how much a merchant's fees change if a specific fee rule's rate is modified, (2) which merchants are affected if a fee's account type restriction changes, and (3) how a merchant's total fees change if its MCC code changes. Trigger whenever the question involves "delta", "fee with ID", "relative fee changed to", "account type", "affected by this change", or "MCC co...

Solve average transaction value statistics questions on the dabstep payments dataset. Use this skill for questions that ask for average transaction value/amount grouped by a dimension (e.g., shopper_interaction, issuing_country, acquirer_country, aci), optionally filtered by merchant, card scheme, and/or date range. Triggers on questions like "What is the average transaction value grouped by X for merchant Y's card_scheme Z transactions between months A and B?"

Solve dabstep Average_Fee_Estimation problems. Use this skill for questions asking about average payment processing fees, which card scheme is cheapest/most expensive in an average scenario, and fee calculations based on card scheme, account type, MCC description, credit/debit type, or any combination of these filters.

Solve questions about which fee IDs apply to a payment merchant, transaction characteristics, or time period in the dabstep dataset. Use this skill for any question asking "which fee IDs apply to X", "what are the applicable fee IDs for merchant Y", "which merchants are affected by fee Z", or any query involving filtering fees.json based on payment characteristics or merchant attributes.

当用户想把 HTML 幻灯片转成 .pptx 时触发——"HTML 转 PPT"、"网页幻灯片转 pptx"、"把这个 deck 转成 ppt"、"给同事一份 ppt 副本"、"汇报不方便放浏览器"、给了 .html 路径 + 提到 ppt/pptx/演示/幻灯片。保留矢量文字可编辑、字体按需嵌入、复杂装饰自动走截图兜底；不依赖 reveal.js / 自写 deck 等具体框架。

data-scientist workflow skill. Use this skill when the user needs Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

data-scientist workflow skill. Use this skill when the user needs Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

Analyze Pinterest data from any source — CSV exports, PDF reports, dashboard screenshots, and trend reports like Pinterest Predicts or Pinterest Trends — to find top-performing pins, rank trending search demand, track performance over time, and produce polished client-ready reports. Use this skill whenever the user mentions Pinterest data, pins, boards, Pinterest Analytics, Pinterest Predicts, trend reports, impressions/saves/outbound clicks, or uploads files that look like Pinterest exports,...

Track ML experiments with automatic logging, visualize training in

Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.

Gene correlation network analysis bridging WGCNA, pgmpy Bayesian networks, and monad-bayes posterior inference. Connects zubyul's genomics background to the plurigrid interactome via HyperNetX hypergraph topology.

Comprehensive spreadsheet creation, editing, and analysis with support

MCP server for X/Twitter interaction - profile analysis, thread tracking, and social graph exploration

GitHub interactome navigator for Wolframite ecosystem. Interaction entropy

Automated video processing: metadata extraction, thumbnails, transcoding, audio extraction with DuckDB tracking

UV/UVX awesome one-liners for ephemeral Python environments with multi-package

Interleave three deterministic color streams into balanced schedules

'Batched heterogeneous topological complex dataloaders for TopoModelX.

- α: Parse → AST | β: Grammar change | γ: Structural equivalence

Duck-UI provides browser-based DuckDB via WebAssembly:

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.