data-ai-skills
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
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Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
Use this when the project needs real baseline results before or alongside the main model. Runs classical or literature-aligned baselines under the same protocol and writes a reproducible baseline summary.
Use this skill when the user wants to research a topic, analyze papers, build ML models, or run experiments. Orchestrates the full pipeline: paper search → analysis → planning → implementation → review → experiments.
Comprehensive DuckDB database backup toolkit supporting both file-based (cp) and native (ATTACH+COPY) backup approaches. Use when you need to backup DuckDB databases locally or to remote storage, create daily scheduled backups, verify backup integrity, or manage backup retention policies.
Develop and maintain Convex backend functions including queries, mutations, and actions. Use when working with database operations, authentication, game management, scoring logic, and real-time data updates in the dev-quiz-battle app.
Create and manage database migrations with reversible changes, proper naming conventions, and zero-downtime deployment strategies. Use this skill when creating database migration files, modifying schema, adding or removing tables/columns, managing indexes, or handling data migrations. Apply when working with migration files (e.g., db/migrate/, migrations/, alembic/, sequelize migrations), schema changes, database versioning, rollback implementations, or when you need to ensure backwards compatibility during deployments. Use for any task involving database structure changes, index creation, constraint modifications, or data transformation scripts.
Set up database replication for high availability and disaster recovery. Use when configuring master-slave replication, multi-master setups, or replication monitoring.
Transform a Rails application to use Falcon web server with async job processing (async-job), async Action Cable, and Redis-compatible database (Valkey for production). Use when the user wants to add async/Falcon stack to a Rails project, migrate from Puma to Falcon, or set up async job processing with Redis for both development and production environments including Kamal deployment.
Create, manage, and safely run Ecto database migrations with proper rollback handling and best practices. Use when working with database schema changes, adding columns, or modifying constraints.
Design PostgreSQL 17 schemas for laneweaverTMS using Supabase conventions - UUIDs, ENUMs, audit trails, soft deletes, triggers, functions, views, and atomic migration patterns.
Design complete database schemas with tables, relationships, constraints, and indexes for Supabase. Triggers when user describes data models, entities, or requests schema design.
Domain specialist for data persistence, database design, query optimization, and data modeling. Scope: SQL injection prevention, indexing strategies, normalization, migrations, scaling, backup/recovery, ORM patterns, N+1 query detection, query optimization, relationship mapping. Excludes: API design, business logic, infrastructure, frontend, security beyond database. Triggers: "database", "SQL", "query", "index", "schema", "migration", "sharding", "replication", "backup", "N+1", "ORM", "Eloquent", "Django", "query optimization", "slow query", "relationship", "foreign key", "join".
Expert database administrator specializing in high-availability systems, performance optimization, and disaster recovery. Masters PostgreSQL, MySQL, MongoDB, and Redis with focus on reliability, scalability, and operational excellence.
This skill should be used when working with the CRM PostgreSQL database for sales, contacts, companies, and opportunities. Use this skill when the user asks to insert, update, query, or analyze data in the CRM database (may be called crm or db), or when SQL queries need to be created for company_site, person, sales_opportunity, or event tables. This skill provides comprehensive schema knowledge and PostgreSQL-specific SQL examples tailored to the CRM data model.
Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
Domain specialist for API design, development, and best practices. Scope: RESTful API design, GraphQL, API documentation, authentication, authorization, rate limiting, CORS, error handling, pagination, filtering, HATEOAS, API testing, API security. Excludes: database design, business logic, infrastructure, frontend, security beyond API. Triggers: "API", "REST", "GraphQL", "endpoint", "OpenAPI", "Swagger", "CORS".
PDF-RAG API reference. REQUIRED after any failed curl/jq to localhost:8000 (404, null, jq error). Also use when uncertain about endpoint path or response shape.
Maps Braiins Pool API endpoints to MCP tool implementations with proper authentication, rate limiting, retry logic, and error handling patterns.
General-purpose patterns for reliable browser automation (selectors, waiting, scrolling, overlays, HITL).