Category

Data & Analytics

Data analysis, BI, visualization, datasets, statistics, and ML workflows

13,303
skills in category
555
pages available
Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.
Open in full browser

Browse data & analytics skills

Showing 7,681–7,704 of 13,303 skills

CollectionA

编译器后端开发专家,专注于IR、CFG、SSA、数据流分析和优化Pass实现。

datagojava
0
24
CollectionA

Create interactive well production dashboards with real-time monitoring, verification integration, economic metrics, and multi-format exports. Use for well performance analysis, field aggregation, production forecasting, and API-driven dashboards.

datapythonbash
0
24
CollectionA

Forecast oil & gas well production using decline curve analysis. Use for EUR estimation, type curve generation, production modeling, and reserve calculations with Arps decline models (exponential, hyperbolic, harmonic).

datapythongo
0
24
CollectionA

Perform NPV analysis and economic evaluation for oil & gas assets. Use for cash flow modeling, price scenario analysis, working interest calculations, and financial metrics (IRR, payback, NPV) for field development projects.

datapythongo
0
24
CollectionA

Collect, analyze, and report marine safety incident data from 7 global maritime authorities. Use for incident scraping, safety trend analysis, risk assessment, geographic hotspot identification, and marine safety reporting.

datapythongo
0
24
CollectionA

Extract and process BSEE (Bureau of Safety and Environmental Enforcement) production data. Use for querying oil/gas production data by API number, block, lease, or field with automatic data normalization and caching.

datapythongo
0
24
CollectionA

Perform signal processing, rainflow cycle counting, and spectral analysis for fatigue and time series data. Use for analyzing stress time histories, computing FFT/PSD, extracting fatigue cycles (ASTM E1049-85), and batch processing OrcaFlex signals.

datapythongo
0
24
CollectionA

Manage hydrodynamic coefficients, wave spectra, and environmental loading for vessel response analysis. Use for 6×6 matrix management, wave spectrum modeling, OCIMF loading calculations, and RAO interpolation.

datapythongit
0
24
CollectionA

Perform fatigue analysis using S-N curves and damage accumulation methods. Supports 221 S-N curves from 17 international standards (DNV, API, BS, ABS, etc.) for marine and offshore structural components.

datapythongo
0
24
CollectionB

Use when investigating bugs that need reproduction - covers local HA/Emby testing, evidence gathering, root cause analysis, and updating issues with findings and fix recommendations.

datapythonbash
0
24
CollectionA

Systematic RL debugging - diagnose learning failures, common bugs, diagnosis trees

datapythonrust
0
24
CollectionA

Use when working with SQLite databases in DataPeeker analysis sessions - querying data, importing CSVs, exploring schemas, formatting output, or optimizing performance. Provides task-oriented guidance for effective SQLite CLI usage in data analysis workflows.

datapythonsql
0
24
CollectionA

Comprehensive guide to phylogenetic tree building methods including distance-based (UPGMA, Neighbor-Joining), maximum likelihood (RAxML, IQ-TREE), and Bayesian inference (MrBayes). Covers multiple sequence alignment, distance matrices, bootstrap analysis, consensus methods, tree formats (Newick, Nexus), and tree comparison metrics. Includes implementation patterns for tree visualization and evaluation.

datapythonrust
0
24
CollectionA

Machine learning integration patterns for rRNA-Phylo covering three use cases - rRNA sequence classification (supervised learning with sklearn/PyTorch), multi-tree consensus (ensemble methods), and generative tree synthesis (GNNs/transformers). Includes feature engineering, model training, hyperparameter tuning, model serving, versioning, and evaluation metrics for bioinformatics ML workflows.

datapythongo
0
24
CollectionA

RAN monitoring coordination with real-time dashboards, cognitive consciousness, and intelligent observability for comprehensive network monitoring. Use when coordinating RAN monitoring, implementing real-time dashboards, managing observability stacks, or enabling intelligent monitoring systems in 5G networks.

datatypescriptgo
0
24
CollectionA

Generate Excel workbooks with formulas, charts, and formatting. Use for financial reports, data analysis, dashboards, and structured data presentation.

datapythongit
0
24
CollectionA

Perform gene set enrichment analysis using AI research providers. Analyzes lists of genes to identify biological themes, pathways, and functional associations.

datapythongo
0
24
CollectionA

List all Danmarks Statistik tables currently stored in DuckDB with metadata. Use when user wants to know what data is available locally or explore stored tables.

datapythongo
0
24
CollectionA

Assists with building reports, dashboards, and data visualizations using Recharts and D3.js for the NABIP AMS. Use when creating member growth charts, revenue analytics, event performance metrics, email engagement tracking, or custom report builders with aggregations and scheduled exports.

datatypescriptsql
0
24
CollectionA

Meta-skill for selecting correct WorldCrafter skill. Use when unclear which skill to use, request maps to multiple skills, need to orchestrate skills, user asks for guidance, or ambiguous requests need clarification. Provides decision trees and trigger matching for feature-builder (complete features with forms), database-setup (tables/migrations/RLS), test-generator (add tests), route-creator (simple pages/APIs), auth-guard (authentication/authorization), ai-assistant (AI generation/suggestio...

datagoapi
0
24
CollectionA

Creates new Agent Skills for AI Agents following best practices and documentation. Use when the user wants prompts 'create a new skill ...' or 'use your meta skill to ...'.

datapythonbash
0
24
CollectionA

Database Reliability Engineeringに基づくデータベース監視と可観測性の専門スキル。 SQLite/Turso統計情報、スロークエリログ、接続数監視、 ディスク使用量、レプリケーション遅延などの運用メトリクスを提供します。 📖 参照書籍: - 『Designing Data-Intensive Applications』(Martin Kleppmann): データモデリング 📚 リソース参照: - `resources/Level1_basics.md`: レベル1の基礎ガイド - `resources/Level2_intermediate.md`: レベル2の実務ガイド - `resources/Level3_advanced.md`: レベル3の応用ガイド - `resources/Level4_expert.md`: レベル4の専門ガイド - `resources/alerting-strategies.md`: alerting-strategies の詳細ガイド - `resources/health-metrics.md`: h...

databashsql
0
24
CollectionA

Learn from database query patterns and recommend optimized approaches

datajavascriptpython
0
24
CollectionA

Use JN for data transformation and ETL. Read data with 'jn cat', filter with 'jn filter', write with 'jn put'. Convert between CSV/JSON/Excel/YAML formats. Stream data through Unix pipes. Integrate with VisiData for visual exploration. Use when working with data files, format conversion, filtering data, or ETL pipelines.

datagobash
0
24