productivity▌

A two-phase team loop that produces production-quality code: implement, then audit using simplify + harden passes, then fix audit findings, then re-audit, repeating until the codebase is solid or the loop cap is reached.

Advanced techniques for maximizing LLM reliability, consistency, and output quality through systematic prompt design. \n \n Five core patterns: few-shot learning with 2-5 examples, chain-of-thought reasoning for multi-step logic, systematic optimization through A/B testing, reusable template systems with variables, and system prompts for persistent global behavior \n Progressive disclosure approach starts simple and adds complexity only when needed, with four escalation levels from direct instru

I help you conduct comprehensive, multi-faceted research on any topic. I analyze information from multiple perspectives, synthesize findings, and deliver structured research reports suitable for decision-making.

Deployment principles and decision-making framework for safe production releases. \n \n Covers five core deployment phases: prepare, backup, deploy, verify, and confirm/rollback, with platform-specific procedures for Vercel, Railway, Docker, Kubernetes, and VPS environments \n Includes pre-deployment verification across code quality, build, environment, and safety categories, plus post-deployment health checks and monitoring windows \n Provides rollback strategies by platform and decision criter

This skill provides comprehensive guidance for implementing Clean Architecture, Hexagonal Architecture (Ports & Adapters), and Domain-Driven Design tactical patterns in Java 21+ Spring Boot 3.5+ applications. It ensures clear separation of concerns, framework-independent domain logic, and highly testable codebases through proper layering and dependency management.

Property-based fuzzer that compares Turso against SQLite to catch SQL correctness bugs. \n \n Generates random SQL statements and schemas, then executes them on both Turso and SQLite to detect mismatches in row sets, error handling, or schema state \n Supports deterministic reproduction via seed-based runs, configurable statement/table/column counts, and verbose output for debugging \n Includes continuous loop mode for extended fuzzing campaigns and Docker runner for CI with configurable timeout

Fabric is an open-source AI prompt orchestration framework by Daniel Miessler. It provides a library of reusable AI prompts called Patterns — each designed for a specific real-world task — wired into a simple Unix pipeline with stdin/stdout.

Map all testable surfaces in the application and identify what's tested vs. what's missing.

Distributed transaction management across microservices using choreography or orchestration patterns. \n \n Supports two saga approaches: choreography-based (event-driven, decoupled) and orchestration-based (centralized coordinator with easier tracking) \n Requires compensating transactions for every forward operation to ensure rollback capability and eventual consistency \n Integrates with Spring Boot 3.x, Kafka, RabbitMQ, and frameworks like Axon Framework, Eventuate Tram, and Camunda \n Empha

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