Browse 138,453 skills across 70 categories. Mirrored from majiayu000/claude-skill-registry.
Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts an...
Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, a...
Design lakehouse architectures with Apache Iceberg, Delta Lake, and modern table formats
Organize object storage with lifecycle policies.
Data Lake architecture and management including medallion architecture (bronze/silver/gold zones), data catalog with AWS...
Universal data lake and lakehouse patterns covering ingestion (dlt, Airbyte), transformation (SQLMesh, dbt), storage for...
Design and implement data lakehouse architectures for scalable big data storage and analytics.
This skill provides patterns for working with the data-layer module. Use when creating/editing files in src/data-layer/,...
Bronze Layer（LLM抽出ログ層）とGold Layer（確定データ層）の2層アーキテクチャ設計。LLM抽出結果の履歴管理と人間修正の保護を実現。抽出処理の実装、ExtractionLogの使用、is_manually_verif...
Mapping the flow of data from source to destination for transparency, impact analysis, and troubleshooting.
Document data flow, transformation lineage, and impact analysis for traceability and compliance.
Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and d...
Data Lineage Tracker - Auto-activating skill for Data Pipelines.Triggers on: data lineage tracker, data lineage trackerP...
Load data from files (CSV, JSON, JSONL, Parquet) or stdin for analysis and visualization with ggterm. Use when reading d...
Design and manage data storage effectively. Use when working with databases, schemas, or data migrations. Covers schema...
PB-000の成果物をファイルベースで保存・管理。フォルダ作成、ファイル存在確認、実行履歴管理を担当。データ管理、ファイル操作で必ず使用。
Service-scoped data orchestration for TMNL. Invoke when implementing search, data streams, kernel systems, or Effect-bas...
Data mapping patterns for transforming API responses to internal types
Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve plat...
Metabase REST API automation and troubleshooting: authenticate (API key preferred, session fallback), export/upsert ques...
Plan and execute database migrations, data transformations, and system migrations safely with rollback strategies and da...
Plans and executes data migrations between systems, databases, and formats
Use this agent when reviewing database migrations, schema changes, or data transformations. Specializes in validating ID...
Extract patterns and insights from large datasets using association rules, clustering, classification, and anomaly detec...
Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML...
Adding new data models - schema, shared zod, entity pattern, and oRPC routes. Use when user asks to create a new entity,...
Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with...
Design data models for construction projects. Create entity-relationship diagrams, define schemas, and generate database...
Standards for generating Model Cards from data analysis notebooks. Aligned with Hugging Face and ISO transparency standa...
Analyze and Refactor TypeScript data models. Detect duplication, improve type safety, and validate relationships in inte...
Design data models with Pydantic schemas, comprehensive validation rules, type annotations, and relationship mappings.
Dimensional modeling, normalization, and schema design for analytics.
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models. Docum...
Database schema design and data modeling patterns including normalization principles (1NF-5NF), denormalization trade-of...
Use when asking about UTXO vs account models, ledger tokens, shielded/unshielded tokens, nullifiers, coins, balances, or...
Process data normalization tool operations. Auto-activating skill for ML Training. Triggers on: data normalization tool,...
Data Normalization Tool - Auto-activating skill for ML Training. Triggers on: data normalization tool, data normalizatio...
발굴조사 자료(논문/보고서/주변유적) 수집 및 메타데이터 정규화
Standards for high-quality Jupyter Notebooks. Focuses on readability, reproducibility, and educational value.
This skill should be used when the user mentions "database design", "schema design", "graph database", "document databas...
Architectural guidance for using multiple database technologies together, with emphasis on PostgreSQL/Supabase (relation...
Generic CRUD operations for in-memory storage using a list of dictionaries with auto-generated IDs.
智能数据优化工具，自动清理和优化项目文件
> Purpose: Build multi-system integrations, ETL workflows, and API connections. Design Make/n8n scenarios, implement web...
Central data strategy coordinator for AI-driven crypto trading. Use when building data pipelines, validating data qualit...
Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformat...
Apply data-oriented architecture patterns when designing systems with polymorphic entities. This skill should be used PR...
Data Partitioner - Auto-activating skill for Data Pipelines. Triggers on: data partitioner, data partitioner Part of the...
Process data partitioner operations. Auto-activating skill for Data Pipelines. Triggers on: data partitioner, data parti...
Implements data persistence systems including DataStore patterns, session locking, data migration, error handling, and b...
Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transf...
Designs ETL/ELT data pipelines with proper extraction, transformation, and loading patterns, including orchestration, er...
Build orchestration pipelines with idempotency.
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data ware...
Develop and manage data ingestion, processing, and transformation pipelines for pilot projects. Use when automating ETL...
Design and troubleshoot robust data pipelines with comprehensive quality validation, error handling, and monitoring capa...
Monitor and troubleshoot dual-pipeline data collection systems on GCP. This skill should be used when checking pipeline...
Follow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point...
Process data files through transformation pipelines with validation, cleaning, and export. Use for CSV/Excel/JSON data p...
Use this skill when building data pipelines, ETL/ELT workflows, or data transformation layers. Triggers on Airflow DAG d...
Apply Data Pipelines Pocket Reference practices (James Densmore). Covers Infrastructure (Ch 1-2: warehouses, lakes, clou...
Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image n...
Understanding and managing what digital services collect, store, share, and infer about you. Covers password security an...
Draft and fill data privacy agreement templates — DPA, data processing agreement, GDPR, HIPAA BAA, business associate ag...
Data privacy and regulatory compliance specialist for GDPR, CCPA, HIPAA, and international data protection laws. Use whe...
Detect PII, mask data, and manage consent and encryption.
This skill enables Claude to automatically scan code and configuration files for potential data privacy vulnerabilities...
Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSO...
Polibaseのデータ処理ワークフローとパイプラインを説明します。議事録処理、Web scraping、政治家データ収集、話者マッチングなどの処理フロー、依存関係、実行順序を理解する際にアクティベートされます。
2. 数据清洗：去重、填充缺失值、格式标准化