CI/CD

A skill for generating and seeding realistic test data into a database. Use this skill for tasks related to database seeding, test data generation, and populating a database for development, testing, or demo purposes. It supports idempotent seeding, relationship data generation (e.g., users and their tasks), and environment-specific data sets (dev, test, demo). Triggers: "seed database", "generate test data", "populate db", "database seeding".

Run Python code in lesson context with proper uv and venv handling for agent-spike project. Activate when user wants to run tests, demos, or CLI commands for lessons in lessons/ directories. Project-specific for agent-spike multi-agent learning.

Apply Forth AI brand guidelines when creating frontends. Use for UI components, pages, applications, and design systems. Enforces radical simplicity, implicit elegance, abstract graphics, and the Forth AI visual identity.

Comprehensive draft story review with parallel specialist sub-agents. Spawns PM, UX, and SM agents to review stories from product, design, and implementation readiness perspectives before development begins.

Comprehensive Python data engineering patterns for AWS Data Lake, including PySpark, Pandas, Apache Airflow, AWS Glue, ETL pipelines, data quality, schema management, performance optimization, FastAPI services, streaming with Kafka/Kinesis, data validation with Great Expectations, testing strategies, error handling, logging, and production deployment on AWS EMR and Glue.

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

Manage dependencies with npm/yarn/pnpm. Use for auditing vulnerabilities, checking outdated packages, understanding dependency trees, and upgrading packages safely.

Maintain character consistency by cross-referencing canonical character files. Use when writing scenes with established characters, updating character information, or checking for contradictions. Prevents invented physical details, possessions, backstory, and knowledge.

Turns BPM content into learning paths, micro-lessons, and exercises for analysts, managers, and process owners.

Guide for migrating from PHP/MySQL to Payload CMS with PostgreSQL. Use when working on migration tasks, understanding data models, or implementing Payload collections. Covers migration strategy, architecture decisions, and step-by-step tasks for the Y-Not Radio site migration.

This skill should be used when creating extensions for Claude Code or OpenCode, including plugins, commands, agents, skills, and custom tools. Covers both platforms with format specifications, best practices, and the ferg-engineering build system.

Decision helper — coin flip, dice roll, pick from options, Magic 8-Ball.

Use when user mentions updating NuGet packages, checking for outdated dependencies, upgrading .NET package versions, or asks about package updates in a .NET project.

Generate GenuVerity fact-check reports from structured input (Gemini research output). Use /batch-report to process research into HTML reports. Optimized for token efficiency - expects pre-researched sources.

Expert on iOS development with Swift, UIKit, SwiftUI, Xcode, app architecture, platform features, and Apple ecosystem integration. Invoke when user mentions iOS, iPhone, iPad, Swift, SwiftUI, UIKit, Xcode, Apple development, or iOS-specific features.

Retrieve current weather and forecast for a specific location. Use this skill when the user asks for weather information.

Guide developers through CI/CD pipeline design including architecture patterns, stage design, and security considerations

Ansible Vault file naming, encryption, and template conventions for managing secrets. Covers vault_ prefix patterns, entire-file encryption patterns, template file requirements, .gitignore rules, and setup workflows for consistent secret management across environments.

This skill should be used when writing, reviewing, or refactoring documentation that will be consumed as AI context. Optimizes documentation for LLM comprehension using principles of completeness, efficiency, and zero fluff—replacing prose with structured data, enforcing heading hierarchy, detecting meta-commentary, and validating that examples serve a purpose.

Gerencia issues do GitHub: listar, ver detalhes, comentar, fechar e triagem via MCP Docker.