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Claude Skills by majiayu000
github.com/majiayu00015,502 skills856 installs32,980 views
- Data Modeling Prorise Cool Claude Code Multi AgData modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models. Documents data structures, relationships, and attributes.Votes: 0GitHub stars: 666
- Data Normalizer발굴조사 자료(논문/보고서/주변유적) 수집 및 메타데이터 정규화Votes: 0GitHub stars: 666
- Data Notebook RefinerJupyter Notebook의 코드 품질, 문서화 수준, 실행 안정성을 표준화된 절차로 개선하는 워크플로우입니다.Votes: 0GitHub stars: 666
- Data OrchestratorCentral data strategy coordinator for AI-driven crypto trading. Use when building data pipelines, validating data quality, coordinating multi-source data aggregation, or implementing ML-ready data infrastructure. Covers: data governance, quality validation, source management, real-time pipelines, backtesting infrastructure.Votes: 0GitHub stars: 666
- Data Oriented ArchitectureApply data-oriented architecture patterns when designing systems with polymorphic entities. This skill should be used PROACTIVELY when encountering switch statements or if/else chains that dispatch based on entity type, when designing new entity systems, or when refactoring toward extensibility. Provides registry-based dispatch, capability composition, and infrastructure-first development patterns. Complements solid-architecture with concrete implementation strategies.Votes: 0GitHub stars: 666
- Data PersistenceImplements data persistence systems including DataStore patterns, session locking, data migration, error handling, and backup systems. Use when saving player progress, inventory, settings, or any persistent data.Votes: 0GitHub stars: 666
- Data Pipeline ArchitectDesigns ETL/ELT data pipelines with proper extraction, transformation, and loading patterns, including orchestration, error handling, and data quality validation.Votes: 0GitHub stars: 666
- Data Pipeline BuilderBuild orchestration pipelines with idempotency.Votes: 0GitHub stars: 666
- Data Pipeline EngineeringDevelop and manage data ingestion, processing, and transformation pipelines for pilot projects. Use when automating ETL workflows, integrating new data sources, or building canonical datasets to support downstream analytics.Votes: 0GitHub stars: 666
- Data Pipeline ManagerDesign and troubleshoot robust data pipelines with comprehensive quality validation, error handling, and monitoring capabilities for bioinformatics and data processing workflowsVotes: 0GitHub stars: 666
- Data Pipeline MonitoringMonitor and troubleshoot dual-pipeline data collection systems on GCP. This skill should be used when checking pipeline health, viewing logs, diagnosing failures, or monitoring long-running operations for data collection workflows. Supports Cloud Run Jobs (batch pipelines) and VM systemd services (real-time streams).Votes: 0GitHub stars: 666
- Data Pipeline PatternsFollow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point-in-time (PIT) correctness, Arrow schemas, quality checks, and Prefect orchestration.Votes: 0GitHub stars: 666
- Data Pipeline ProcessorProcess data files through transformation pipelines with validation, cleaning, and export. Use for CSV/Excel/JSON data processing, encoding handling, batch operations, and data transformation workflows.Votes: 0GitHub stars: 666
- Data PipelineOrchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.Votes: 0GitHub stars: 666
- Data PreprocessingLoad and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image normalization. Use when starting IMC analysis from raw MCD files or preparing images for segmentation.Votes: 0GitHub stars: 666
- Data Privacy GuardianDetect PII, mask data, and manage consent and encryption.Votes: 0GitHub stars: 666
- Data Privacy ScannerThis skill enables Claude to automatically scan code and configuration files for potential data privacy vulnerabilities using the data-privacy-scanner plugin. It identifies sensitive data exposure, compliance violations, and other privacy-related risks. Use this skill when the user requests to "scan for data privacy issues", "check privacy compliance", "find PII leaks", "identify GDPR violations", or needs a "privacy audit" of their codebase. The skill is most effective when used on projects ...Votes: 0GitHub stars: 666
- Data Processing WorkflowsPolibase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。Votes: 0GitHub stars: 666
- Data Processor1. 读取JSON/CSV格式的原始数据 2. 数据清洗：去重、填充缺失值、格式标准化 3. 统计分析：计数、去重率、异常检测 4. 生成Excel报表(包含数据和图表)Votes: 0GitHub stars: 666
- Data ProductsData product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.Votes: 0GitHub stars: 666
- Data ProfilerProfile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet), discovering dataset properties, assessing data quality, or when user mentions data profiling, schema detection, data analysis, or quality metrics. Provides basic and intermediate profiling including distributions, uniqueness, and pattern detection.Votes: 0GitHub stars: 666
- Data Quality ChecksComprehensive guide to data quality validation, testing frameworks, anomaly detection, and data observability for production data pipelinesVotes: 0GitHub stars: 666
- Data Quality EnforcementEnforce data quality rules and validations on pilot data streams and repositories. Use when checking for missing values, schema compliance, consistency issues, or anomalies before analysis and reporting.Votes: 0GitHub stars: 666
- Data Quality FrameworkImplement validation, profiling, and anomaly detection.Votes: 0GitHub stars: 666
- Data Quality MonitoringTechniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.Votes: 0GitHub stars: 666
- Data Quality RulesSee the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.Votes: 0GitHub stars: 666
- Data Quality Test GeneratorGenerate comprehensive dbt test suites following FF Analytics data quality standards and dbt 1.10+ syntax. This skill should be used when creating tests for new dbt models, adding tests to existing models, standardizing test coverage, or implementing data quality gates. Covers grain uniqueness, FK relationships, enum validation, and freshness tests.Votes: 0GitHub stars: 666
- Data Quality ValidationSystematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical work. Use when validating Snowflake queries, catching calculation errors, reconciling metrics across different data sources, checking for null values, ensuring date range validity, detecting statistical anomalies, validating metric calculations (median vs mean, rate normalization), checking aggregation grain (per-record vs per-entity), validating contribution analysis for no...Votes: 0GitHub stars: 666
- Data QualityData quality testing with dbt tests, Great Expectations, and monitoring.Votes: 0GitHub stars: 666
- Data QueryingWrite and verify SQL queries with BigQuery. Use when executing bq commands, writing SQL queries, or including query results in documents.Votes: 0GitHub stars: 666
- Data Refresh EvalBuild and refresh eval datasets from Front, run routing evals, and analyze agent response quality.Votes: 0GitHub stars: 666
- Data ResearcherExpert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.Votes: 0GitHub stars: 666
- Data Retention Archiving PlannerPlans and implements data retention policies with archival strategies, compliance requirements, automated cleanup jobs, and cold storage migration. Use for "data retention", "data archival", "GDPR compliance", or "storage optimization".Votes: 0GitHub stars: 666
- Data Safety Auditor Endlessblink Flow StateComprehensive data safety auditor for Vue 3 + Pinia + IndexedDB + PouchDB applications. Detects data loss risks, sync issues, race conditions, and browser-specific vulnerabilities with actionable remediation guidance.Votes: 0GitHub stars: 666
- Data Schema Knowledge ModelingUse when designing database schemas, need to model domain entities and relationships clearly, building knowledge graphs or ontologies, creating API data models, defining system boundaries and invariants, migrating between data models, establishing taxonomies or hierarchies, user mentions "schema", "data model", "entities", "relationships", "ontology", "knowledge graph", or when scattered/inconsistent data structures need formalization.Votes: 0GitHub stars: 666
- Data Seeding Fixtures BuilderGenerates deterministic seed data for development and testing with factory functions, realistic fixtures, and database reset scripts. Use for "data seeding", "test fixtures", "database seeding", or "mock data generation".Votes: 0GitHub stars: 666
- Data SeedingCreate database seed scripts with realistic test data for development and testing. Use when setting up development environment or creating demo data.Votes: 0GitHub stars: 666
- Data SerializationEfficient data serialization for game networking including Protobuf, FlatBuffers, and custom binaryVotes: 0GitHub stars: 666
- Data Skill본 스킬은 대한민국 공공데이터포털(https://www.data.go.kr/)에서 제공하는 각종 공공데이터 API 를 사용하기 위한 설명입니다. 본 스킬은 공공데이터 개발 또는 공공 API 개발을 할 때 사용하면 됩니다.Votes: 0GitHub stars: 666
- Data Source ConnectConnect your own data source to replace the demo unicorns data. Use when the user wants to use their own database URL or CSV file instead of the sample data. Triggers on requests to connect database, import CSV, change data source, use own data, or switch from demo data.Votes: 0GitHub stars: 666
- Data Source PriorityEnsure Alpaca API is used for quality data, not yfinance fallback. Trigger when: (1) crypto volume filter fails unexpectedly, (2) zero-volume bars in data, (3) API key configuration issues.Votes: 0GitHub stars: 666
- Data Specialist提供数据库设计、优化、数据工程和数据分析能力。当需要处理数据库操作、数据管道或数据分析时使用。Votes: 0GitHub stars: 666
- Data Sql OptimizationProduction-grade SQL optimization for OLTP systems: EXPLAIN/plan analysis, balanced indexing, schema and query design, migrations, backup/recovery, HA, security, and safe performance tuning across PostgreSQL, MySQL, SQL Server, Oracle, SQLite.Votes: 0GitHub stars: 666
- Data StorageImplement client-side data storage with localStorage, IndexedDB, or SQLite WASM. Use when storing user preferences, caching data, or building offline-first applications.Votes: 0GitHub stars: 666
- Data Storytelling AnalystTransforms raw data into compelling visual narratives using Python or R, focusing on clarity, insight, and aesthetic presentation.Votes: 0GitHub stars: 666
- Data Structure CheckerThis 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.Votes: 0GitHub stars: 666
- Data Structure ChooserRecommend basic data structures for a task. Use when a junior developer needs help choosing lists, maps, or sets.Votes: 0GitHub stars: 666
- Data StructuresPython data structure conventions for this codebase. Apply when choosing between Pydantic models, dataclasses, and other data containers.Votes: 0GitHub stars: 666
- Data StuffFor dataVotes: 0GitHub stars: 666
- Data SynthesisSynthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.Votes: 0GitHub stars: 666