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Run comprehensive data health checks on the database, reporting on data quality issues, dead letters, duplicates, and anomalies. Use when you need to assess overall data quality, identify issues requiring attention, or perform daily data quality monitoring.
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run complex aggregations, joins, or window functions, or query external data sources without loading into memory. Best for analytical workloads, OLAP queries, and data exploration.
Visualize audio frequency/time-domain data synchronized with React updates.
Create Domino Launchers - parameterized web forms for self-service job execution. Enable business users to run analyses, generate reports, and trigger batch predictions without coding. Covers parameter types, email notifications, result delivery, and access control. Use when building self-service data products or enabling non-technical users.
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.
Create sequence views showing temporal flows and user interactions. Uses plain arrows with descriptive labels (no relationship kinds).
Orchestrate multi-step ML workflows using Domino Flows (built on Flyte). Define DAGs with typed inputs/outputs, heterogeneous environments, automatic lineage, and reproducibility. Use when building data pipelines, multi-stage training workflows, or processes requiring orchestration and monitoring.
This skill should be used when seeding databases with realistic fake data for development, testing, or staging environments. Supports PostgreSQL, MySQL, SQLite, MongoDB with ORM-based seeding (SQLAlchemy, Django, Prisma) and Faker library for generating realistic test data. Use when the user needs to populate databases with sample data, create test fixtures, or set up development/staging environments with realistic data.
Database + Alembic workflow for Slack-MM2 Sync (migrations, collapsed history, NEVER CANCEL guidance, and troubleshooting queries). Use when changing schema, debugging DB state, or dealing with migration failures.
Safe database migration procedures with backward compatibility, backups, and rollback strategies. Use when creating, modifying, or dropping database schemas. Covers migration creation, testing, execution, and rollback.
This skill should be used when the user asks to "create an indexer", "build a hyperindex", "index blockchain events", "write event handlers", "configure config.yaml", "define schema.graphql", "use envio", "set up hyperindex", "index smart contract events", "create graphql schema for blockchain data", or mentions Envio, HyperIndex, blockchain indexing, or event handler development.
This skill should be used when ingesting market data from multiple sources (APIs, databases, files) into Zipline-Reloaded. It provides standardized patterns for data normalization, quality checks, and pipeline integration.
Proactive skill for validating dbt models against coding conventions. Auto-activates when creating, reviewing, or refactoring dbt models in staging, integration, or warehouse layers. Validates naming, SQL structure, field conventions, testing coverage, and documentation. Supports project-specific convention overrides and sqlfluff integration.
Parse URLs in CSV files and extract query parameters as new columns. Use when working with CSV files containing URLs that need parameter extraction and analysis.
Expert guidance for building and maintaining the Para Obsidian inbox processing system - a security-hardened automation framework for processing PDFs and attachments with AI-powered metadata extraction. Use when building inbox processors, implementing security patterns (TOCTOU, command injection prevention, atomic writes), designing interactive CLIs with suggestion workflows, integrating LLM detection, implementing idempotency with SHA256 registries, or working with the para-obsidian inbox codebase. Covers engine/interface separation, suggestion-based architecture, confidence scoring, error taxonomy, structured logging, and testing patterns. Useful when user mentions inbox automation, PDF processing, document classification, security-hardened file processing, or interactive CLI design.
Use this agent when reviewing PRs that touch database migrations, data backfills, or any code that transforms production data. This agent validates ID mappings against production reality, checks for swapped values, verifies rollback safety, and ensures data integrity during schema changes. Essential for any migration that involves ID mappings, column renames, or data transformations. <example>Context: The user has a PR with database migrations that involve ID mappings. user: "Review this PR that migrates from action_id to action_module_name" assistant: "I'll use the data-migration-expert agent to validate the ID mappings and migration safety" <commentary>Since the PR involves ID mappings and data migration, use the data-migration-expert to verify the mappings match production and check for swapped values.</commentary></example> <example>Context: The user has a migration that transforms enum values. user: "This migration converts status integers to string enums" assistant: "Let me have the data-migration-exper
Advanced editing features including subtypes, feature forms, versioning, and configurable editors. Use for complex data entry workflows.
AI agent implements safe database migrations with zero-downtime strategies, rollback plans, and expand-contract patterns. Use when creating migrations, deploying schema changes, or implementing zero-downtime database updates.
Develop custom Bitbucket Pipes for reusable CI/CD components. Use when creating pipes for organization-wide use, building Docker-based automation steps, packaging pipes for the Atlassian Marketplace, or designing reusable pipeline components.
Industry-specific workflow patterns and templates for finance, healthcare, logistics, manufacturing, retail, and common use cases like AI document processing, API integration, business rules, ETL, RAG, security, and project management. Use when asking about 'workflow examples', 'workflow templates', 'industry workflows', 'finance workflows', 'healthcare workflows', 'logistics workflows', 'manufacturing workflows', 'retail workflows', 'ETL workflows', 'RAG workflows', 'API workflows', 'document processing', 'business rules', or 'workflow patterns'.
