В каталоге 183 730 навыков в 14 категориях.
> Purpose: Build multi-system integrations, ETL workflows, and API connections. Design Make/n8n scenarios, implement web...
Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformat...
Central data strategy coordinator for AI-driven crypto trading. Use when building data pipelines, validating data qualit...
Apply data-oriented architecture patterns when designing systems with polymorphic entities. This skill should be used PR...
Use when building a page, chart, dashboard or write-up whose value is its numbers — spend breakdowns, usage analysis, me...
Process data partitioner operations. Auto-activating skill for Data Pipelines. Triggers on: data partitioner, data parti...
Data Partitioner - Auto-activating skill for Data Pipelines. Triggers on: data partitioner, data partitioner Part of the...
**Monthly Partitions:**
Fires on any operation that reads or writes deal, company, contact, call note, or task data. Provides: file schemas, wri...
Implements data persistence systems including DataStore patterns, session locking, data migration, error handling, and b...
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
Professional Data Pipeline Expert skill. Build robust, automated deployment pipelines and configure cloud infrastructure...
Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transf...
Build robust data pipelines for ETL, streaming, and batch processing. Orchestrate data movement between sources and dest...
Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.
Builds automated sports analytics pipelines -- daily data pulls, scheduled prediction generation, model versioning, pred...
End-to-end data pipeline for empirical research: fetch economic data from APIs (FRED, World Bank, IMF, BLS, OECD, Yahoo...
Designs ETL/ELT data pipelines with proper extraction, transformation, and loading patterns, including orchestration, er...
Build orchestration pipelines with idempotency.
Use when running data pipeline workflows for data-pipeline-demo.
Data pipeline design for ETL/ELT workflows, streaming architectures, data validation, and orchestration. Use when buildi...
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...
ETL/ELT data pipelines, data lakehouse architecture, Apache Spark/DuckDB transformations, and data quality checks.
Expert guide for Data Pipelines, ETL/ELT, and Analytics Engineering. Covers dbt, Apache Airflow, Dagster, BigQuery, Clic...
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...
Team conventions for Python data pipelines — stage structure, JSON output format, debugging workflow, and anti-patterns....
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...
Design an ETL/ELT data pipeline specification. Use when asked to design a data pipeline, spec an ETL or ELT process, doc...
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...
Plan data workflows, metrics, and pipelines — schema design, validation, transformation.
Manage ServiceNow dictionary (sys_dictionary), table/field creation, choice lists, dictionary overrides, and sys_data_po...
Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), dire...
对行式数据执行非破坏式、可审计的数据准备，适用于用户明确要求去重、缺失值填充、类型转换、字段重命名、选列或排序的场景。
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...
Use when processing, storing, or transmitting any data that might contain personally identifiable information (PII) or s...
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...
Filter CSV data (restaurants, accommodations, attractions) based on criteria like city, cuisine, budget, and pet-friendl...
Process, transform, import, export, and handle large datasets using bounded and reliable technology-agnostic patterns.
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。
Processes data records from a source file
数据处理与分析技能。当用户需要对知识库检索结果进行数据分析、统计计算、格式转换、数据提取或生成报告时使用此技能。支持 Python 脚本执行进行高级数据处理。
Skill: data-processor
Use when a table is served to consumers, released or changed, to build everything a consumer needs as a data product, th...
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh...
为数据库查询结果和结构化文件生成通用数据画像，适用于用户明确要求字段画像、数据概览、候选主键或时间列识别的场景。
Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for dat...
Profile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet),...
Generate comprehensive data profiles for DataFrames. Use for EDA, data discovery, and understanding dataset characterist...
Profiling automático de datasets — ydata-profiling, pandera, great expectations. Entendé cualquier dataset en minutos. T...
Use when a feature collects, stores, exports or shares personal data, or when a new third party will receive it. Structu...
Swiss data protection — nDSG/FADP framework, GDPR adequacy, cantonal DP laws (IDG/KDSG/LIPAD), DSFA/DPIA, cross-border t...
Use this skill to ensure every material number in a stock analysis is sourced, derived from sourced inputs, user-provide...
Turn a question about the world into a table Parallax can accept, with every field typed observed or simulated at the mo...
Use this skill when implementing data validation, data quality monitoring, data lineage tracking, data contracts, or Gre...
Ensures data accuracy, completeness, and consistency via validation, cleaning, and monitoring in data pipelines.
Define and enforce data quality from explicit contracts and business invariants across completeness, validity, uniquenes...
Run data quality checks on Snowflake tables
Use when validating a dataset or building quality checks into a pipeline. Covers profiling, schema and constraint valida...
Data quality testing with dbt tests, Great Expectations, and monitoring.
Reconcile conversion and delivery numbers across tools, set acceptable discrepancy bands, gate a report on a data-qualit...
Audit a dataset for the quality problems that silently break analysis — missingness, duplicates, outliers, type and rang...
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and o...
数据质量审计器 V5标准 - 自动化数据质量检查和报告： 1. S1: 输入数据集/数据管道/质量需求 2. S2: 质量审计（完整性→准确性→一致性→时效性） 3. S3: 输出质量报告+改进建议 4. S4: 可集成到数据处理流程自动触...
Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated...
对已授权的行式查询结果执行空值率、重复值和数值异常检查，适用于用户明确要求核查数据质量、完整性、重复记录或异常值的场景。
Validate data quality in market analysis documents and blog articles before publication. Use when checking for price sca...
Data Quality Checker - Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker...
Validate dataset completeness and basic correctness before downstream analysis. Use for nulls, duplicates, schema drift,...
Validate data quality checker operations. Auto-activating skill for Data Pipelines. Triggers on: data quality checker, d...
Data Quality Checks are automated tests that validate data against predefined rules and expectations. They act as the "u...
Implementing comprehensive data quality checks across the data pipeline to ensure accuracy, completeness, and reliabilit...
Generates data quality check code for bauplan pipelines and ingestion workflows. Invoked by the data-pipeline and safe-i...
Design the data quality checks for a table or pipeline across the standard dimensions. Use when asked to add data qualit...
Enforce data quality rules and validations on pilot data streams and repositories. Use when checking for missing values,...
Implement validation, profiling, and anomaly detection.
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality...
使用 Great Expectations、dbt 测试和 Pandera 实现数据质量验证框架
Builds a release-readiness gate for a data pipeline by gathering check results from one or more engines (dbt, Great Expe...
Use when after curating and integrating structure-organism pairs from heterogeneous sources when you need to enforce qua...
Techniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.
Define data quality rules, profiling strategies, validation frameworks, and quality metrics.
**This skill is deprecated.** Please refer to the main **Data Validation Rules** skill for comprehensive coverage of dat...
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
Generate comprehensive dbt test suites following FF Analytics data quality standards and dbt 1.10+ syntax. This skill sh...
Systematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical...
Cerb data queries -- the `key:value` language behind worklists, metrics, charts, and reports. Load it when choosing a `t...
Definí preguntas de negocio claras antes de analizar. Sin buena pregunta, no hay buen análisis. Trigger: Cuando arrancás...
从表格文件 (.xlsx / .xlsm / .csv / .tsv) 生成自包含 HTML 数据分析报告。 含 KPI 卡片、ECharts 图表、文字洞察。数据 inline 嵌入。 TRIGGER: 用户上传表格文件 + 提出分析/出...
Data Visualization Report (Open Design) — use only when explicitly invoked, not for general design requests
Turns CSV, Excel, or JSON data into a polished visual report page.