В каталоге 183 730 навыков в 14 категориях.
Litestone — a `.lite` schema, a gate or row policy, a migration, tenancy, encryption, a `@`-attribute, the audit trail....
Load the CSV file the user names, print its first ten rows and the column types, and report the row count.
5 document and data format skills for Claude Code: read, write, and manipulate DOCX, PDF, PPTX, XLSX files, and perform...
Load and parse mass spectrometry data formats including mzML, mzXML, and quantification tool outputs like MaxQuant prote...
Import data from external sources. Use when: loading CRM contacts, email lists, or campaign data from CSV, JSON, or Shee...
Managing the lifecycle of weapon and mod data from external sources to the local database
Import Synnovator platform data from .synnovator/*.md files into SQLite database via SQLAlchemy models. Use when need to...
Review a repository or local folder with a focus on how data moves between components, services, users, and external sys...
Procedures and playbooks for responding to data quality incidents, data loss, corruption, and pipeline failures.
Jobs de ingestao de dados
Master orchestration for the knowledge-base pipelines — runs the three syncs, then reconciles the wiki index. Use for th...
Use this skill to fetch, normalize, validate, and confidence-score public or user-provided investment data. Trigger befo...
Build new data ingestion providers following the FF Analytics registry pattern. This skill should be used when adding ne...
Strips non-data ink from charts and slides using the data-ink ratio principle, so the remaining marks all carry meaning...
Generate actionable insights from transaction data. Use when implementing insight generators, anomaly detection, or data...
Rules for code that writes to the database where two requests, retries or jobs can run at once. Use for anything that ch...
Detects data integrity issues including orphaned records, broken foreign key relationships, constraint violations, and p...
Maintain database quality, ensure data alignment, verify mission compliance, prepare for JusticeHub syndication.
Verifying data integrity constraints, referential integrity, data type validation, and consistency checks across databas...
Generate and review data-intensive application code using patterns from Martin Kleppmann's "Designing Data-Intensive App...
Especialista em Sistemas Data-Intensive (Reliabilidade, Escalabilidade e Manutenibilidade) baseado em Designing Data-Int...
Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts an...
Builds semantic models from API, CLI, and database contracts with an HTML review and OKF/YAML export. Use when modeling...
把 API、CLI 与数据库契约转成有证据支撑的语义模型，通过 HTML 决策工作台审查后输出 Google OKF 或 YAML。适用于企业知识建模、语义层、维度建模与本体设计。
Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and...
Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, a...
Organize object storage with lifecycle policies.
Design lakehouse architectures with Apache Iceberg, Delta Lake, and modern table formats
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...
Room/SQLite, DataStore and repository traps: migrations, NOT IN with NULLs, LIKE escaping, delete order, local-time buck...
Review an AI system for leakage of secrets, PII, tenant data, hidden prompts, embeddings, logs, traces, memory, evaluati...
Audit how a project defines, protects and evolves its stored data against a 5-level scale (shape, integrity, versioning,...
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.
Data Lineage Tracer. Professional enterprise agent for Data Lineage Tracer within the Data Science sector.
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...
Assesses an organization's or team's data literacy with a four-quadrant framework (Understanding data, Acting on data, E...
Load data from files (CSV, JSON, JSONL, Parquet) or stdin for analysis and visualization with ggterm. Use when reading d...
Load and parse CSV/TXT files from travel database for itinerary planning
Route loader option, loaderDeps for cache keys, staleTime/gcTime/ defaultPreloadStaleTime SWR caching, pendingComponent/...
Guides compliance with country-specific data localization requirements across key jurisdictions including Russia (242-FZ...
Confirmation gate before any bulk delete, cleanup, or destructive operation that could result in data loss — shell-level...
Design and manage data storage effectively. Use when working with databases, schemas, or data migrations. Covers schema...
Draft a funder-compliant Data Management Plan (NSF DMP, NIH DMS Policy 2023, ERC, Horizon Europe) by composing the confi...
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。
Use when data management, data governance, data quality assurance, or data lifecycle management is needed. This agent sp...
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
Matching observation data to simulation output with exact datetime and depth binning
Use when tools from the jupyter, duckdb, dbt, mlflow, huggingface or postgres MCP servers appear in your tool list, or b...
Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve plat...
Especialista em Arquitetura Data Mesh, Produtos de Dados (Data Products) e Governança Federada baseado nas obras Impleme...
Automates Metabase cards, dashboards, Remote Sync, embedding, tenants, and the Agent API/MCP server for AI workflows. Us...
Plan and execute database migrations, data transformations, and system migrations safely with rollback strategies and da...
Moves data from one system to another without losing it or corrupting it — profiling the source before mapping, deciding...
Design a safe data migration plan with backfill strategy and rollback.
Plans and executes data migrations between systems, databases, and formats
Проектировать и проверять преобразование данных, изменения схем и миграции с совместимостью, сверкой результата и восста...
Use this agent when reviewing database migrations, schema changes, or data transformations. Specializes in validating ID...
Detects data collection patterns that exceed what is necessary for the app's stated functionality, enforcing Guideline 5...
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...
Ship data and ML pipelines that hold — quality checks, reproducibility, lineage, drift monitoring.
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...
[Deprecated] Optional advanced tool for complex data modeling. For simple MySQL table creation, use relational-database-...
Design data models for construction projects. Create entity-relationship diagrams, define schemas, and generate database...
Comprehensive process for discovering and validating data model requirements before design
Catalog APIs, persistence models, and message/event payloads into DATA_MODEL.md at the project root. Use after implement...
Use this skill whenever designing or writing database schemas, migrations, ORM models, API response shapes, or any code...
Plans a conceptual or logical data model covering entities, attributes, relationships, invariants, validation, ownership...
Audits SwiftData/Core Data model layer for field completeness, serialization gaps, relationship integrity, semantic ambi...
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...
Review database schema, indexes, constraints, naming, migrations, and query patterns.
Adversarially verifies DATA_MODEL.md property rows against cited Source files. Use after data-model-documenter when DATA...
Design data models with Pydantic schemas, comprehensive validation rules, type annotations, and relationship mappings.
Professional Data Modeling Expert skill. Design and maintain secure, optimized, and performant databases and data storag...
Designs the warehouse and semantic layer — source-to-mart structure, dimensional modeling, grain, slowly changing dimens...
Extendable data models: identity, lifecycle, constraints, indexes, transactions, versioning, migrations, deletion, audit...
This skill should be used when designing a database schema, modeling data, choosing a database, planning migrations, or...
Use when designing a schema. Covers normalization and when to break it, choosing keys, modeling time and history, soft d...
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models. Docum...
Dimensional modeling, normalization, and schema design for analytics.
Database schema design and data modeling patterns including normalization principles (1NF-5NF), denormalization trade-of...
Use when designing, creating, or modifying database schemas, data structures, or data models. This skill provides standa...
Use when asking about UTXO vs account models, ledger tokens, shielded/unshielded tokens, nullifiers, coins, balances, or...
Selects and justifies a suitable data monetization model (direct: DaaS/Insight-as-a-Service/data exchange vs. indirect:...
Data Normalization Tool - Auto-activating skill for ML Training. Triggers on: data normalization tool, data normalizatio...
Process data normalization tool operations. Auto-activating skill for ML Training. Triggers on: data normalization tool,...
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.