productivity▌

Use this skill to keep App Store Connect (ASC) and RevenueCat aligned, including creating missing ASC items and mapping them to RevenueCat resources.

Advanced data modeling tool for complex multi-table schemas with automated relationship management and ER diagram generation. \n \n Designed for enterprise-level scenarios requiring multi-entity relationships, foreign key automation, and visual documentation; most simple table creation should use relational-database-tool directly with SQL \n Generates Mermaid class diagrams following strict type mapping, naming conventions, and constraint rules for consistent schema design \n Supports required/u

Build a production-ready, AI-powered data collection agent for any public data source. Runs on a schedule, enriches results with a free LLM, stores to a database, and improves over time.

Search, monitor, and get alerts for flight price changes across Google Flights. \n \n Search flights by route, date range, and cabin class with filtering options for stops, airlines, duration, and departure/arrival times \n Track routes over time with optional target price alerts that trigger when prices drop below a threshold \n Scheduled price checking compares current prices against historical data and reports percentage drops \n Runs as both a command-line tool and MCP server, with automatic

이 스킬이 호출되면 아래 STOP PROTOCOL을 반드시 따른다.

Generates a fully configured Spring Boot project from scratch using the Spring Initializr API. The skill walks the user through selecting project parameters, choosing an architecture style (DDD or Layered), configuring data stores, and setting up Docker Compose for local development. The result is a build-ready project with standardized structure, dependency management, and configuration.

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Comprehensive security guidance for Laravel applications to protect against common vulnerabilities.

Expert guide for optimizing LLM prompts through patterns, testing, and systematic refinement. \n \n Covers five core techniques: few-shot learning, chain-of-thought reasoning, prompt optimization, template systems, and system prompt design \n Includes progressive disclosure patterns that scale complexity from simple instructions to multi-example reasoning traces \n Provides practical examples for each pattern, from code review templates to bug analysis workflows \n Emphasizes testing and iterati

Fetch and analyze content from one or more URLs using Gemini 2.5 Flash with URL context.