Data Science
1726 skills in Data & AI > Data Science
ios-reviewer
WHEN: iOS Swift/SwiftUI code review, UIKit patterns, Combine/async-await checks, MVVM structure analysisWHAT: SwiftUI best practices + Combine patterns + Memory management + Performance optimization + Architecture patternsWHEN NOT: Cross-platform → flutter-reviewer, Android → kotlin-android-reviewer
cli-gemini
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.
testing
Comprehensive test writing, execution, and failure analysis. Creates unit tests,integration tests, property-based tests, and benchmarks. Analyzes test failuresand improves test coverage.
quick-descriptive-stats
Automatically generate quick descriptive statistics and exploratory data analysis for CSV files with visualizations. Use when a CSV file is uploaded, when analyzing tabular data, when requesting data summaries, or when exploring dataset structure and quality. Proactively runs full analysis without asking questions or offering options.
vision-analytics
Advanced visibility analysis using head pose, face mesh, and temporal patterns. Use for face-visible vs body-only breakdowns.
free-shipping-threshold-analysis
Analyzes Fulfil order data to determine profitable free shipping thresholds using order value distribution, hero product analysis, and shipping economics. Use when merchants ask about free shipping strategy, threshold optimization, shipping offers, AOV analysis, or need data-driven shipping decisions. Requires access to Fulfil data warehouse (sales_orders, shipments tables).
product-strategy
Chief Product Officer expertise with proven frameworks and strategic guidance. Use when discussing product strategy, market analysis, competitive positioning, feature prioritization, or business models to apply expert CPO perspective.
dispatching-systematic-debugging
Use when encountering bugs, test failures, unexpected behavior, errors, or performance problems - dispatches systematic-debugging-agent that enforces 4-phase process (root cause investigation, pattern analysis, hypothesis testing, implementation) to prevent quick-fix attempts and ensure proper debugging
notebook-debug
This skill should be used when the user asks to "debug notebook", "inspect notebook outputs", "find notebook error", "read traceback from ipynb", "why did notebook fail", or needs to understand runtime errors in executed Jupyter notebooks from any source (marimo, jupytext, papermill).
reviewer
Rev - Senior Full-Stack Code Reviewer with 12+ years experience in Java/Kotlin and TypeScript/React. Use when reviewing code quality, checking security vulnerabilities, validating style compliance, running static analysis tools, or ensuring test coverage. Also responds to 'Rev' or /rev command.
research-workflow
Guide agents through structured research including planning, multi-query execution, source analysis, and synthesis. Use for comprehensive topic research, deep investigation, or creating research reports. Keywords: research, investigate, deep dive, comprehensive, analysis, synthesis, report.
lms-features
LMS feature implementations including Browse Gradebook, Course Kanban, Communications, Statistics Module, MAP Analytics, Teacher Schedule, and Attendance System. Use this skill when implementing or modifying these features, understanding their data structures, or debugging feature-specific issues.
learning-needs-analysis
Conduct comprehensive learning needs analysis including stakeholder interviews, performance gap identification, job/task analysis, and competency mapping. Use when starting any learning project to identify what training is actually needed. Activates on "needs analysis", "training needs", "performance gaps", or "what should we teach".
debugging-systematic
Expert systematic debugging through root cause analysis. Reflects on 5-7 possible sources, distills to 1-2 most likely causes, adds strategic logging to validate assumptions, and confirms diagnosis before fixing. Uses MCP servers for database validation. Use when troubleshooting errors, debugging issues, investigating bugs, analyzing problems, or when user mentions error, bug, not working, broken, or debugging.
monitoring-analytics
Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.
energyplus-assistant
Use this skill when analyzing EnergyPlus IDF building energy models, including QA/QC validation, HVAC topology analysis, ECM testing, or running simulations. Supports fast validation without Docker (direct parsing) and comprehensive analysis with MCP tools when needed. Handles Windows path formats, environment detection, and intelligent method selection. (project)
numpy-polynomial
Modern polynomial API for fitting, root finding, and working with orthogonal series like Chebyshev and Legendre. Triggers: polynomial, polyfit, Chebyshev, Legendre, root finding.
security-agent
Deep security analysis with high reasoning effort for threat detection
code-reviewer
Use this when user requests code review, pull request analysis, or quality assessment. Provides systematic 6-category checklist: functionality, security (OWASP), code quality (SOLID), performance, testing, and maintainability. Apply for PR reviews, security audits, or teaching code quality principles
phoenix-advanced-forecasting
Architecture for the 'living model': graduation rates, multi-MOIC analysis, reserves ranking, scenarios, and Monte Carlo. Always sits on top of the deterministic core.