Database
Database management and queries
databricks-spark-structured-streaming
by databricks-solutions
Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, implementing real-time data processing, handling stateful operations, or optimizing streaming performance.
databricks-vector-search
by databricks-solutions
"Patterns for Databricks Vector Search: create endpoints and indexes, query with filters, manage embeddings. Use when building RAG applications, semantic search, or similarity matching. Covers both storage-optimized and standard endpoints."
databricks-unity-catalog
by databricks-solutions
"Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with volume file operations (upload, download, list files in /Volumes/)."
database-optimizer
by Jeffallan
Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.
cloud-huawei-rds
by partme-ai
Provides comprehensive guidance for Huawei Cloud RDS including database creation, configuration, backups, and RDS management. Use when the user asks about Huawei Cloud RDS, needs to create RDS databases, configure RDS, or manage Huawei Cloud database services.
django-expert
by Jeffallan
Use when building Django web applications or REST APIs with Django REST Framework. Invoke for Django models, ORM optimization, DRF serializers, viewsets, authentication with JWT.
architecture-designer
by Jeffallan
Use when designing new system architecture, reviewing existing designs, or making architectural decisions. Invoke for system design, architecture review, design patterns, ADRs, scalability planning.
supabase-postgres-best-practices
by guanyang
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
chrome-history
by glebis
Query Chrome browsing history with natural language. Filter by date range, article type, keywords, and specific sites.
doctorg
by glebis
Evidence-based health research using tiered trusted sources with GRADE-inspired evidence ratings. Integrates Apple Health data for personalized context. Use when user asks health, nutrition, exercise, sleep, or wellness questions.
axiom-core-data
by CharlesWiltgen
Use when choosing Core Data vs SwiftData, setting up the Core Data stack, modeling relationships, or implementing concurrency patterns - prevents thread-confinement errors and migration crashes
fastapi-templates
by wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
80-20-review
by codewithmukesh
Focus code review effort on the 20% of code that causes 80% of issues. Prioritizes data access, security, concurrency, and integration boundaries over formatting and style. Uses blast radius scoring to determine review depth. Includes checkpoint schedules, critical path identification, and a batch review checklist. Load this skill when reviewing code, PRs, or architecture, or when the user mentions "review", "code review", "PR review", "what should I review", "review priorities", "blast radius", or "critical path".
databricks-zerobus-ingest
by databricks-solutions
"Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creating producers that write directly to Unity Catalog tables without a message bus, working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust, generating Protobuf schemas from UC tables, or implementing stream-based ingestion with ACK handling and retry logic."
security-checklist
by jamditis
Pre-deployment security audit for web applications. Use when reviewing code before shipping, auditing an existing application, or when users mention "security review," "ready to deploy," "going to production," or express concern about vulnerabilities. Covers authentication, input validation, secrets management, database security, and compliance basics.
moai-lang-python
by modu-ai
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.
databricks-synthetic-data-generation
by databricks-solutions
"Generate realistic synthetic data using Faker and Spark, with non-linear distributions, integrity constraints, and save to Databricks. Use when creating test data, demo datasets, or synthetic tables."
databricks-lakebase-autoscale
by databricks-solutions
"Patterns and best practices for using Lakebase Autoscaling (next-gen managed PostgreSQL) with autoscaling, branching, scale-to-zero, and instant restore."
hf-mcp
by huggingface
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
context7
by darrenhinde
Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API. This skill should be used when looking up documentation for any programming library or framework, finding code examples for specific APIs or features, verifying correct usage of library functions, or obtaining current information about library APIs that may have changed since training.
databricks-asset-bundles
by databricks-solutions
"Create and configure Databricks Asset Bundles (DABs) with best practices for multi-environment deployments. Use when working with: (1) Creating new DAB projects, (2) Adding resources (dashboards, pipelines, jobs, alerts), (3) Configuring multi-environment deployments, (4) Setting up permissions, (5) Deploying or running bundle resources"
databricks-metric-views
by databricks-solutions
"Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools."
spark-python-data-source
by databricks-solutions
Use when building custom Spark data source connectors for external systems (databases, APIs, message queues), implementing batch/streaming readers/writers, or creating data source plugins for systems without native Spark support. Triggers - "build Spark data source", "create Spark connector", "implement Spark reader/writer", "connect Spark to [system]", "streaming data source"
databricks-spark-declarative-pipelines
by databricks-solutions
"Creates, configures, and updates Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP) using serverless compute. Handles streaming tables, materialized views, CDC, SCD Type 2, and Auto Loader ingestion patterns. Use when building data pipelines, working with Delta Live Tables, ingesting streaming data, implementing change data capture, or when the user mentions SDP, LDP, DLT, Lakeflow pipelines, streaming tables, or bronze/silver/gold medallion architectures."