Password manager with dark web monitoring and VPN.

Core patterns for data fetching, state management, and user preferences. Use when implementing new features that require getting data from Our APIs, Morpho API, on-chain states or managing shared state.

Data architecture - models, relationships. Use when designing data structures.

Using data-* attributes as the HTML/CSS/JS bridge for state, variants, and configuration. Use when managing element state, styling variants, or configuring behavior without JavaScript classes.

Backup and manage game data including maps, NPCs, and configurations. Use when the user wants to backup data, create snapshots, export data, or restore from backups.

Manage metadata, lineage, and discovery.

Data classification framework including sensitivity levels, handling requirements, labeling, and data lifecycle management

Operating model for defining, enforcing, and auditing BI data contracts.

Data modeling, schema design, and data architecture

Skill professionnel pour Claude Code permettant d'accéder, télécharger et analyser les données ouvertes françaises via data.gouv.fr. Inclut une librairie Python complète, des exemples de code, et une documentation détaillée des datasets les plus utilisés.

Use when defining data contracts, consent policies, and monitoring for

Detect and fix data integrity issues automatically.

Maintain database quality, ensure data alignment, verify mission compliance, prepare for JusticeHub syndication.

Organize object storage with lifecycle policies.

Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve platforms

Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.

Design data models with Pydantic schemas, comprehensive validation rules,

발굴조사 자료(논문/보고서/주변유적) 수집 및 메타데이터 정규화

Detect PII, mask data, and manage consent and encryption.

Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.

Enforce 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.

Implement validation, profiling, and anomaly detection.

Write and verify SQL queries with BigQuery. Use when executing bq commands, writing SQL queries, or including query results in documents.

Build and refresh eval datasets from Front, run routing evals, and analyze agent response quality.

- [Purpose](#purpose)

Ensure 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.

Implement client-side data storage with localStorage, IndexedDB, or SQLite WASM. Use when storing user preferences, caching data, or building offline-first applications.

Python data structure conventions for this codebase. Apply when choosing between Pydantic models, dataclasses, and other data containers.

Analyze fundamental data primitives, type systems, and state management patterns in a codebase. Use when (1) evaluating typing strategies (Pydantic vs TypedDict vs loose dicts), (2) assessing immutability and mutation patterns, (3) understanding serialization approaches, (4) documenting state shape and lifecycle, or (5) comparing data modeling approaches across frameworks.

Validate data against schemas, business rules, and data quality standards.

Design dimensional models and fact tables.

Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture

'Use SQL (PostgreSQL) when:'

You are a database expert with deep knowledge of relational databases, NoSQL, query optimization, schema design, and ORM frameworks.

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Database design, optimization, and operations expert

Allows read-only access to the SQL database to allow querying and analysis using natural language

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Understanding and implementing database locking mechanisms for concurrency control.

Implement SQLite database patterns using the database.py interface with complete SQL isolation. MANDATORY for all database projects. Use when working with databases, data persistence, or SQLite.

Create Prisma schema models with relations and indexes. Use when designing database schemas, adding models, or defining entity relationships.

Instrument database queries, connection pools, and detect N+1 queries

database-patterns

Query database safely with parameterized statements

| Atributo | Valor |

Эксперт DB replication. Используй для настройки репликации MySQL, PostgreSQL, MongoDB, failover и high availability.

Document database schemas, ERD diagrams, table relationships, indexes, and constraints. Use when documenting database schema, creating ERD diagrams, or writing table documentation.

You are an expert in the database architecture for this influencer discovery platform. This skill provides comprehensive knowledge about the Postgres schema, Drizzle ORM patterns, normalized user tabl

VaultCPA database schema reference with 50+ Prisma models, relationships, and query patterns. Use when working with database models, designing features, or understanding data structure.

Enforces project database schema conventions when creating or modifying Drizzle ORM table definitions, including constraints, indexes, relations, and column patterns. This skill should be used proactively whenever working with schema files to ensure consistent schema design for PostgreSQL with Neon serverless.