Generate ORM models, migrations, and seeds.

Validates database schemas, Kysely types, and migrations. Use when checking schema correctness or migration safety.

Test migrations, integrity, and query performance.

Use when working with ES/NQ futures market data, before calling any Databento API - follow mandatory four-step workflow (cost check, availability check, fetch, validate); prevents costly API errors and ensures data quality

Create and manage Databricks notebooks programmatically. Use when generating ingestion code, creating ETL notebooks, executing Databricks workflows, or when user mentions notebook creation, job automation, or data pipeline implementation in Databricks. Handles notebook generation, execution, and results retrieval.

Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - enforces TDD workflow (tests first), ALWAYS use ${ref()} never hardcoded table paths, comprehensive columns:{} documentation, safety practices (--schema-suffix dev, --dry-run), proper ref() syntax, .sqlx for new declarations, no schema config in operations/tests, and architecture patterns that prevent technical debt under time pressure

Curate and clean training datasets for high-quality machine learning

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.

Generate database ER diagrams from schema for documentation

Monitor database performance and prevent regressions.

PostgreSQL database management with Drizzle ORM, versioned migrations, and type-safe queries. This skill should be used when setting up a new database, writing migrations, managing schemas, or troubleshooting database issues in PostgreSQL projects.

Handle Drizzle database schema changes safely. Generate and apply migrations, add tables and columns. Use when modifying database schema, adding tables, creating migrations, or making database changes.

SQLite database management with Prisma ORM, type-safe queries, and Railway deployment with Litestream backup. This skill should be used when creating database schemas, writing migrations, managing SQLite on Railway volumes, or troubleshooting database issues.

Database migration workflow helper. Use when creating database migrations, modifying SQLAlchemy models, or managing Alembic migrations. Automatically handles model changes, migration creation, and database upgrades.

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.

Complete guide for dbt data transformation including models, tests, documentation, incremental builds, macros, packages, and production workflows

PROACTIVE skill - STOP and invoke BEFORE writing dbt SQL. Validates models against coding conventions for staging, integration, and warehouse layers. Covers naming, SQL structure, field conventions, testing, and documentation. CRITICAL - When about to write .sql files in models/, invoke this skill first, write second. Supports project-specific convention overrides and sqlfluff integration.

Define and enforce validation rules for dbt models during migration. This skill provides

Guide AI agents through the complete migration lifecycle from Snowflake or legacy database systems

Writes, edits, and creates dbt models following best practices. Use when user needs to create new dbt SQL models, update existing models, or convert raw SQL to dbt format. Handles staging, intermediate, and mart models with proper config blocks, CTEs, and documentation.

Comprehensive guide to dbt (data build tool) patterns, modeling best practices, testing strategies, and production workflows for modern data transformation

Transform AI agents into experts on dbt and Snowflake performance optimization, providing guidance

Provides expert-level assistance with dbt Semantic Layer, MetricFlow, semantic models, metrics, dimensions, entities, measures, and BI tool integrations. Use this skill when building semantic models, creating metrics (simple, ratio, cumulative, derived, conversion), debugging validation errors, or integrating with BI tools. Extracted from official dbt documentation and optimized for data practitioners.

Transform AI agents into experts on dbt testing strategies, providing guidance on implementing

Generate comprehensive investment memos for cyber•Fund investment committee decisions. Use when creating DD memos or investment analysis documents.

This skill should be used to remove AI-generated artifacts and unnecessary code before committing. It scans changed files for redundant comments, AI TODOs, excessive docstrings, and unnecessary markdown files. Git-only, no GitHub required.

Identify and remove unused code, commented blocks, unreachable code, and unused imports. This skill should be used during Phase 1 cleanup tasks to improve codebase maintainability.

Develop argumentation skills with structured debate preparation

Wind/Wall/Door multi-perspective debate orchestration using debate-hall-mcp tools. Use when facilitating structured debates, architectural decisions, or multi-perspective analysis.

Start structured red vs. blue team debates via subagents. Use when exploring a topic from multiple adversarial perspectives.

Structured multi-perspective debate for important architectural decisions and complex trade-offs

Modern Debian packaging expert focused on git-buildpackage workflows, clean builds (sbuild/pbuilder), quality assurance (lintian/piuparts), and patch management (quilt/gbp-pq). Follows current best pr

Use when users need to debug, modify, or extend the code-forge application's CLI commands, argument parsing, or CLI behavior. This includes adding new commands, fixing CLI bugs, updating command options, or troubleshooting CLI-related issues.

Provides systematic debugging approaches for HyperShift hosted-cluster issues. Auto-applies when debugging cluster problems, investigating stuck deletions, or troubleshooting control plane issues.

Debug web app by capturing and analyzing console errors using Chrome DevTools MCP

Systematic debugging approach for ANY codebase, ANY language, ANY bug type. Use when facing unexpected behavior, crashes, performance issues, or intermittent problems.

Debug FFmpeg integration and video/audio processing issues. Use when the user encounters FFmpeg errors, audio extraction problems, codec issues, or video processing failures.

Systematic debugging strategies, troubleshooting methodologies, and problem-solving techniques for code and system issues. Use when the user encounters bugs, errors, or unexpected behavior and needs help diagnosing and resolving problems.

Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.

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Systematic debugging techniques including error classification, root cause analysis (5 Whys), reproduction strategies, and error documentation. Use when debugging errors, investigating failures, analyzing stack traces, fixing bugs, or documenting errors in error-log.md. (project)

Use when fixing a bug or analyzing a stack trace. Enforces systematic debugging methodology to prevent shotgun debugging and verify fixes.

Root cause analysis with dependency tracing and call stack analysis

debug-service

Document debugging sessions with hypothesis tracking and knowledge base

Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, investigating WebView issues, analyzing runtime errors, or troubleshooting UI problems.

Systematic bug investigation and resolution workflow with root cause analysis.

Expert at advanced debugging and root cause analysis. Use when troubleshooting complex issues, finding root causes of bugs, investigating performance problems, or analyzing system failures.

Diagnose bugs, analyze stack traces, provide fixes