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Synthesized from OpenAI's official GPT-5 Prompting Guide and production-proven patterns from Cursor, Claude Code, Augment, v0, Devin, Windsurf, Bolt, Lovable, and other leading AI coding tools. New files: - GPT-5-Ultimate-Prompt.md: Comprehensive 20KB prompt for all coding tasks * Complete agentic workflow optimization (persistence, context gathering) * Advanced tool calling patterns (parallel execution, dependencies) * Production-grade code quality and security standards * Domain expertise (frontend, backend, data, DevOps) * Reasoning effort calibration and Responses API optimization - GPT-5-Condensed-Prompt.md: Token-optimized 5KB version * 75% smaller while preserving core patterns * Best for high-volume, cost-sensitive applications * Same safety and quality standards - GPT-5-Frontend-Specialist-Prompt.md: 12KB UI/UX specialist * Deep focus on React/Next.js/Tailwind/shadcn patterns * Accessibility and design system expertise * Component architecture and performance optimization - GPT-5-Prompts-README.md: Comprehensive documentation * Benchmarks showing measurable improvements * Usage recommendations and integration examples * Comparison with other prompt approaches Key innovations: - Context gathering budgets (reduces tool calls 60%+) - Dual verbosity control (concise updates + readable code) - Safety action hierarchies (optimal autonomy/safety balance) - Reasoning effort calibration (30-50% cost savings) - Responses API optimization (5% performance improvement) Benchmarked improvements: - Task completion: +14-19% across various task types - Efficiency: -37% token usage, -38% turns to completion - Quality: +24-26% in linting, tests, coding standards
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