data-engineering
185
database-schema-validator
Validates database schemas, Kysely types, and migrations. Use when checking schema correctness or migration safety.
majiayu000
data-ai
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data-engineering
185
database-seed
Create robust, error-proof Prisma seed scripts with comprehensive error handling and validation.
majiayu000
data-ai
data-engineering
185
database-visualization
Expert in creating database diagrams and visual representations. Use when generating ERDs, schema diagrams, or visualizing database relationships with Mermaid.js.
majiayu000
data-ai
data-engineering
185
databricks-query
Execute SQL queries against Databricks using the DBSQL MCP server. Use when querying Unity Catalog tables, running SQL analytics, exploring Databricks data, or when user mentions Databricks queries, SQL execution, Unity Catalog, or data warehouse operations. Handles query execution, result formatting, and error handling.
majiayu000
data-ai
data-engineering
185
dataclass-optimization
Python dataclass best practices: slots, frozen, validation. Trigger when optimizing dataclasses or creating config classes.
majiayu000
data-ai
data-engineering
185
dataflow
Kailash DataFlow - zero-config database framework with automatic model-to-node generation. Use when asking about 'database operations', 'DataFlow', 'database models', 'CRUD operations', 'bulk operations', 'database queries', 'database migrations', 'multi-tenancy', 'multi-instance', 'database transactions', 'PostgreSQL', 'MySQL', 'SQLite', 'MongoDB', 'pgvector', 'vector search', 'document database', 'RAG', 'semantic search', 'existing database', 'database performance', 'database deployment', 'database testing', or 'TDD with databases'. DataFlow is NOT an ORM - it generates 11 workflow nodes per SQL model, 8 nodes for MongoDB, and 3 nodes for vector operations.
majiayu000
data-ai
data-engineering
185
dataset-engineering
Create, clean, and optimize datasets for LLM fine-tuning. Covers formats (Alpaca, ShareGPT, ChatML), synthetic data generation, quality assessment, and augmentation. Use when preparing data for training.
majiayu000
data-ai
data-engineering
185
datum-system
Helps work with the b00t datum system - TOML-based configuration for AI models, providers, and services. Datums are stored in ~/.dotfiles/_b00t_/ and specify WHICH environment variables are required (not the values). Enables DRY approach by centralizing configuration in Rust, exposed to Python via PyO3.
majiayu000
data-ai
data-engineering
185
db-architect
Expert database architecture including schema design, partitioning, replication, and performance optimization
majiayu000
data-ai
data-engineering
185
dbcli-db-ddl
Execute DDL (Data Definition Language) statements - CREATE, ALTER, DROP tables, indexes, views on 30+ databases using DbCli. CRITICAL - requires mandatory backup before DROP/ALTER operations. Use when user needs to create schema, modify structure, or drop database objects.
majiayu000
data-ai
data-engineering
185
direnv-pattern
Implements the b00t environment management pattern: direnv → .envrc → dotenv → .env where datums specify WHICH environment variables are required and .env contains the actual secret VALUES. Ensures automatic environment loading per-project.
majiayu000
data-ai
data-engineering
185
django-model-helper
Generates Django models with proper field types, relationships, and migrations. Use when creating Django models or database schemas.
majiayu000
data-ai
data-engineering
185
download-all-transcripts
Download transcripts for all data folders sequentially. Use for overnight batch processing or when you need to download pending transcripts across all channels and collections.
majiayu000
data-ai
data-engineering
185
ds-star
Multi-agent data science framework using DS-STAR (Data Science - Structured Thought and Action) architecture. Automates data analysis through collaborative AI agents with multi-model support (Haiku, Sonnet, Opus). Use for exploratory data analysis, automated insights, and iterative data science workflows.
majiayu000
data-ai
data-engineering
185
duckdb-remote-parquet-query
Query remote Parquet files via HTTP without downloading using DuckDB httpfs. Leverage column pruning, row filtering, and range requests for efficient bandwidth usage. Use for crypto/trading data distribution and analytics.
majiayu000
data-ai
data-engineering
185
e3
East Execution Engine (e3) - durable dataflow execution for East programs. Use when: (1) Authoring e3 packages with @elaraai/e3 (e3.input, e3.task, e3.package, e3.export), (2) Running e3 CLI commands (e3 init, e3 start, e3 watch, e3 get, e3 set), (3) Working with workspaces and packages, (4) Content-addressable caching and dataflow execution.
majiayu000
data-ai
data-engineering
185
ecto-schemas
Use when defining and working with Ecto schemas including field types, associations, and embedded schemas. Use when modeling database entities in Elixir.
majiayu000
data-ai
data-engineering
185
ecto-thinking
Use when writing Ecto code. Contains insights about Contexts, DDD patterns, schemas, changesets, and database gotchas from José Valim.
majiayu000
data-ai
data-engineering
185
etl-pipeline-agent
Designs and implements Extract, Transform, Load pipelines for data processing
majiayu000
data-ai
data-engineering
185
executive-dashboard-generator
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.
majiayu000
data-ai
data-engineering
185
executive-data-storytelling
Transform data into compelling executive narratives using the What/Why/Next framework from Gartner research
majiayu000
data-ai