Databases

Patterns for AWS Lambda, DynamoDB, SQS, and Secrets Manager. Use when working on serverless AWS projects.

Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.

Execute SELECT queries on 30+ databases (SQLite, SQL Server, MySQL, PostgreSQL, Oracle, etc.) using DbCli. Returns data in JSON, table, or CSV format. Use when user needs to query databases, read data, or execute SELECT statements.

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.

Define database models with clear naming, appropriate data types, proper constraints, and relationship definitions. Use this skill when creating or modifying ORM model files, database entity definitions, or data structure schemas. When defining table relationships, foreign keys, and cascade behaviors. When implementing model validation rules, timestamps, or indexes. When working with model files in frameworks like SQLAlchemy, Sequelize, ActiveRecord, SQLx, Prisma, or similar ORMs. When choosing appropriate data types for columns or establishing data integrity constraints (NOT NULL, UNIQUE, foreign keys).

ClickHouse analytics and Grafana dashboard configuration for Vigil Guard v2.0.0 monitoring. Use when querying logs, analyzing 3-branch detection metrics, creating dashboards, investigating events, working with n8n_logs database, managing retention policies, or monitoring branch performance (branch_a_score, branch_b_score, branch_c_score).

Input validation and sanitization patterns. Use when validating user input, preventing injection attacks, implementing allowlists, or sanitizing HTML/SQL/command inputs.

Comprehensive ABAP development skill for SAP systems. Use when writing ABAP code,working with internal tables, structures, ABAP SQL, object-oriented programming,RAP (RESTful Application Programming Model), CDS views, EML statements, ABAP Clouddevelopment, string processing, dynamic programming, RTTI/RTTC, field symbols,data references, exception handling, or ABAP unit testing. Covers both classicABAP and modern ABAP for Cloud Development patterns.

Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project structure from scratch.

Redis semantic caching for LLM applications. Use when implementing vector similarity caching, optimizing LLM costs through cached responses, or building multi-level cache hierarchies.

Provider-native prompt caching for Claude and OpenAI. Use when optimizing LLM costs with cache breakpoints, caching system prompts, or reducing token costs for repeated prefixes.

Use this skill when developing Next.js 16 applications - creating pages, components, layouts, API routes, implementing proxy.ts, adding caching with Cache Components, or refactoring frontend code. This includes working with App Router patterns, Server Components, Server Actions, React 19.2 features, and Tailwind CSS v4.

dbt エキスパートエンジニアスキル - dbt 開発のベストプラクティス、コマンド実行、環境設定に関する包括的なガイドを提供

Schema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.

LLM cost tracking with Langfuse for cached responses. Use when monitoring cache effectiveness, tracking cost savings, or attributing costs to agents in multi-agent systems.

Eloquent model patterns and database layer. Use when working with models, database entities, Eloquent ORM, or when user mentions models, eloquent, relationships, casts, observers, database entities.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

Custom query builders for type-safe, composable database queries. Use when working with database queries, query scoping, or when user mentions query builders, custom query builder, query objects, query scopes, database queries.

Consult the Oracle (GPT-5.2 via Codex CLI) for a second opinion or alternative perspective on a problem.

Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.