Data Science

Generate publication-ready scientific figures for research papers.Use this skill when:- Creating any figures for manuscripts (Nature, Science, Cell quality)- Generating data plots from CSV/Excel/JSON datasets- Creating conceptual diagrams, flowcharts, or schematics- Composing multi-panel figures with letter labels (A, B, C, D)- Visualizing architectures, timelines, or workflowsThis skill handles THREE types of figures:1. DATA PLOTS - Line, scatter, bar, violin, heatmap, etc. from tabular data2. SCHEMATICS - AI-generated conceptual diagrams and illustrations3. COMPOSITIONS - Multi-panel figures combining plots and/or schematicsPrerequisites:- For plots: pandas, matplotlib, seaborn- For schematics: OPENROUTER_AI_API_KEY environment variable- For composition: matplotlib or PIL

How to do research for benchmarking, financial and economic modeling, and other business analysis tasks.

Generates data cleaning pipelines for pandas/polars with handling for missing values, duplicates, outliers, type conversions, and data validation. Use when user asks to "clean data", "generate data pipeline", "handle missing values", or "remove duplicates from dataset".

Debug production issues in Kubernetes clusters. Use this skill when investigating 500 errors, missing functionality, silent failures, or service integration issues. Covers systematic log analysis, tracing requests across microservices, and common bug patterns.

Analyze data files (CSV, JSON) and generate insights, summaries, and statistical analysis

Troubleshoot and fix bugs systematically. Use when errors occur, tests fail, or unexpected behavior is observed. Covers root cause analysis and debugging strategies.

Calculate ROI for marketing campaigns, investments, and business decisions. Includes break-even analysis, payback period, and comparative ROI.

Validate inference chains step-by-step by examining whether each logical connection from premise to conclusion is sound, making implicit reasoning steps explicit and checking for gaps or leaps. Use when: (1) asked to validate reasoning steps, trace the logic, or verify if conclusions follow from premises, (2) arguments skip intermediate inferential steps or use 'therefore' without showing the reasoning path, (3) evaluating multi-step proofs, mathematical reasoning, or decision frameworks where each step builds on previous ones, (4) reasoning depends on unstated assumptions being treated as established facts.

Generate and compare multiple architecture options (minimal, moderate, full modernization) with comprehensive trade-offs analysis across cost, timeline, risk, performance, and maintainability dimensions. Use when evaluating multiple architectural approaches or deciding between modernization strategies with different cost/risk trade-offs.

Analyzes bull-call-spread debit spreads for bullish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price increase, comparing vertical spread configurations, analyzing debit spread opportunities, calculating Greeks for multi-leg positions, or evaluating defined-risk bullish strategies on liquid optionable securities.

This skill should be used for Python idioms, type hints, async/await, pytest, Django, Flask, FastAPI, Python web frameworks, pandas, data processing

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

Build defensible DCF models with cited sources, Excel export, and sensitivity analysis

Orchestrates multi-model deliberation from Claude, Gemini, and Codex.INVOKE THIS SKILL when user wants:- Multiple AI perspectives: "ask the council", "get opinions", "what do the models think"- Debate/both sides: "both sides of", "pros and cons", "I'm torn between", "arguments for and against"- Stress-testing: "poke holes", "what could go wrong", "find flaws", "what am I missing", "blind spots"- Choosing between options: "help me choose", "which should I pick", "A vs B vs C"- Deep understanding: "deeply understand", "thorough research", "comprehensive analysis"- Direct model query: "ask Claude directly", "just Gemini", "Codex only", "skip the council"

Expert-level options trading framework for multi-leg strategy design, quantitative modeling, and programmatic execution using Alpaca Markets APIs. Covers straddles, butterflies, spreads, iron condors, and calendar strategies with complete payoff analysis, risk management, and automated execution capabilities.

Interactive CompTIA Network+ N10-009 certification study assistant with OSI model training, subnetting practice, protocol analysis, and exam preparation. Use when studying networking concepts, practicing subnetting, reviewing OSI layers, or preparing for Network+ certification exam.

Reviews React/TypeScript UX code for accessibility, performance, component design, and user experience. Specializes in React, TypeScript, Material-UI, and frontend architecture. Verifies against latest React.dev, TypeScript, MUI, and WCAG standards. Use this skill when user requests UX code review or analysis of React components.

Implement covered call options strategy for income generation on long stock positions. Use when seeking to enhance returns through option premium collection while maintaining stock ownership. Covers structure, risk management, Greeks analysis, execution mechanics, and regulatory compliance for covered call writing programs.

Automated 3-AI verification result documentation and export workflow. Triggers when user requests AI verification report export, documentation of findings, or saving cross-validation results. Use after completing Codex/Gemini/Qwen analysis.

Systematic codebase exploration using tree-sitter AST analysis and repomix semantic search. Use when: (1) User asks to explore/analyze/find/search codebase, (2) Looking for functions/classes/symbols/patterns, (3) Understanding project structure, (4) Tracing dependencies/usage, (5) ANY code analysis task. CRITICAL: NEVER use basic filesystem tools (find, grep, Glob, Read multiple files) when tree-sitter MCP or repomix tools are available.