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

cc-skill-strategic-compact \n Development skill skill. \n When to Use \n This skill is applicable to execute the workflow or actions described in the overview.

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

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.

You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.

Universal coding standards and best practices for TypeScript, JavaScript, React, and Node.js projects. \n \n Covers core principles (readability, KISS, DRY, YAGNI) with practical code examples showing good vs. bad patterns \n Includes TypeScript/JavaScript standards for naming, immutability, error handling, async/await, and type safety \n Provides React-specific guidance on component structure, custom hooks, state management, and conditional rendering \n Details API design conventions, REST endp

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Expert file upload handling with S3, Cloudflare R2, presigned URLs, and multipart support. \n \n Handles large files efficiently using presigned URLs and multipart uploads without blocking \n Supports multiple cloud storage backends: AWS S3 and Cloudflare R2 \n Includes image optimization capabilities for processed uploads \n Emphasizes security best practices: magic byte validation, filename sanitization, upload size limits, and controlled presigned URL distribution \n

WAL mechanics, checkpointing, concurrency, and recovery in Turso's SQLite implementation. \n \n Turso uses WAL (Write-Ahead Logging) exclusively with in-memory WAL index instead of SQLite's shared memory file, supporting one writer and concurrent readers without blocking \n Checkpointing transfers WAL pages back to the main database in four modes: PASSIVE (non-blocking), FULL (waits for readers), RESTART (resets WAL), and TRUNCATE (truncates WAL file) \n Each connection maintains private page ca