數據科學
1726 skills in 數據與 AI > 數據科學
data-visualizer
Automated data visualization for EDA, model performance, and business reporting. Activates for "visualize data", "create plots", "EDA", "exploratory analysis", "confusion matrix", "ROC curve", "feature distribution", "correlation heatmap", "plot results", "dashboard". Generates publication-quality visualizations integrated with SpecWeave increments.
sf-debug
Salesforce debugging and troubleshooting skill with log analysis, governor limit detection, and agentic fix suggestions. Parse debug logs, identify performance bottlenecks, analyze stack traces, and automatically suggest fixes.
eptr2-price-analysis
Query and analyze Turkish electricity market prices including MCP (PTF/Piyasa Takas Fiyatı), SMP (SMF/Sistem Marjinal Fiyatı), WAP (Ağırlıklı Ortalama Fiyat), and imbalance prices. Use when asking about electricity prices, market clearing prices, day-ahead prices, system marginal prices, weighted average prices, or price comparisons in Turkey's energy market. Triggers on: PTF, SMF, GÖP fiyat, GİP fiyat, elektrik fiyatı.
pdca-framework
Human-supervised PDCA (Plan-Do-Check-Act) framework for AI-assisted code generation. Use when generating production code with AI agents to maintain quality, reduce technical debt, and keep humans engaged. Applies structured analysis, planning, test-driven development, validation, and retrospection to AI coding sessions. Essential for developers who need systematic approaches to maintain code quality and accountability when using AI code generation tools in complex codebases.
cost-optimization
Expert cloud cost optimization strategies for AWS, Azure, GCP, and serverless platforms. Covers FinOps principles, right-sizing, reserved instances, savings plans, spot instances, storage optimization, database cost reduction, serverless cost modeling, budget management, cost allocation, chargeback models, and continuous cost optimization. Activates for cost optimization, cloud costs, reduce costs, save money, finops, cost analysis, budget overrun, expensive cloud bill, cost savings, reserved instances, spot instances, savings plans, right-sizing, cost allocation tags, chargeback, showback.
diagrams-architect
Expert in creating Mermaid diagrams following C4 Model and SpecWeave conventions. Specializes in system architecture, sequence diagrams, ER diagrams, and deployment diagrams. Activates for diagram creation, architecture visualization, data modeling, sequence flows, C4 diagrams, HLD, LLD.
codex-agent-collaboration
Execute tasks using Codex AI agent for code analysis, implementation, and collaboration
analysis-phase
Validates cross-artifact consistency and detects breaking changes during feature analysis. Use when running /analyze command, validating spec-plan alignment, checking task-implementation consistency, or identifying API/database/UI breaking changes before deployment. (project)
planning-phase
Generates implementation plans with code reuse analysis, architecture design, and complexity estimation during the /plan phase. Use when planning feature implementation, analyzing code reuse opportunities, or designing system architecture after specification phase completes. Integrates with 8 project documentation files for constraint extraction. (project)
data-structure-checker
This skill should be used when reading any tabular data file (Excel, CSV, Parquet, ODS). It automatically detects and fixes common data issues including multi-level headers, encoding problems, empty rows/columns, and data type mismatches. Returns a clean DataFrame ready for analysis with zero user intervention.
excel-report-generator
Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.
grey-haven-performance-optimization
Comprehensive performance analysis and optimization for algorithms (O(n²)→O(n)), databases (N+1 queries, indexes), React (memoization, virtual lists), bundles (code splitting), API caching, and memory leaks. 85%+ improvement rate. Use when application is slow, response times exceed SLA, high CPU/memory usage, performance budgets needed, or when user mentions 'performance', 'slow', 'optimization', 'bottleneck', 'speed up', 'latency', 'memory leak', or 'performance tuning'.
example-data-processor
Process CSV data files by cleaning, transforming, and analyzing them. Use this when users need to work with CSV files, clean data, or perform basic data analysis tasks.
grey-haven-smart-debugging
AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions. Use when debugging complex errors, analyzing stack traces, or performing root cause analysis. Triggers: 'debug', 'error analysis', 'stack trace', 'root cause', 'troubleshooting'.
baseline-quality-assessment
Achieve comprehensive baseline (V_meta ≥0.40) in iteration 0 to enable rapid convergence. Use when planning iteration 0 time allocation, domain has established practices to reference, rich historical data exists for immediate quantification, or targeting 3-4 iteration convergence. Provides 4 quality levels (minimal/basic/comprehensive/exceptional), component-by-component V_meta calculation guide, and 3 strategies for comprehensive baseline (leverage prior art, quantify baseline, domain universality analysis). 40-50% iteration reduction when V_meta(s₀) ≥0.40 vs <0.20. Spend 3-4 extra hours in iteration 0, save 3-6 hours overall.
frmr-analysis
Analyzes FedRAMP FRMR documents to extract control mappings, KSI entries, and version changes. Use when the user asks about FedRAMP requirements, control mappings, compliance data, or needs to understand FRMR document content.
codex
Invoke OpenAI Codex CLI for second opinions, multi-model analysis, architectural validation, or structured JSON output. Use when you need external AI perspective from OpenAI models to validate your decisions or get comparative analysis.
fabric-cli
Use Microsoft Fabric CLI (fab) to manage workspaces, semantic models, reports, notebooks, lakehouses, and other Fabric resources via file-system metaphor and commands. Use when deploying Fabric items, running jobs, querying data, managing OneLake files, or automating Fabric operations. Invoke this skill automatically whenever a user mentions the Fabric CLI, fab, or Fabric.
art
Visual content generation and diagram creation. USE WHEN user needs diagrams, flowcharts, technical visualizations, or any visual content to explain concepts.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas