prompts.chat taste
prompts.chat taste — a ready-to-use text prompt for Prompt Engineering & Meta. Copy it and paste into ChatGPT, Claude, or your preferred AI assistant.
How to use it
- Copy the prompt as-is.
- Paste it into ChatGPT, Claude, or your preferred AI assistant.
Pairs well with Prompt Enhancer — try running them back to back.
Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.
Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.
The base prompt
# Taste # github-actions - Use `actions/checkout@v6` and `actions/setup-node@v6` (not v4) in GitHub Actions workflows. Confidence: 0.65 - Use Node.js version 24 in GitHub Actions workflows (not 20). Confidence: 0.65 # project - This project is **prompts.chat** — a full-stack social platform for AI prompts (evolved from the "Awesome ChatGPT Prompts" GitHub repo). Confidence: 0.95 - Package manager is npm (not pnpm or yarn). Confidence: 0.95 # architecture - Use Next.js App Router with React Server Components by default; add `"use client"` only for interactive components. Confidence: 0.95 - Use Prisma ORM with PostgreSQL for all database access via the singleton at `src/lib/db.ts`. Confidence: 0.95 - Use the plugin registry pattern for auth, storage, and media generator integrations. Confidence: 0.90 - Use `revalidateTag()` for cache invalidation after mutations. Confidence: 0.90 # typescript - Use TypeScript 5 in strict mode throughout the project. Confidence: 0.95 # styling - Use Tailwind CSS 4 + Radix UI + shadcn/ui for all UI components. Confidence: 0.95 - Use the `cn()` utility for conditional/merged Tailwind class names. Confidence: 0.90 # api - Validate all API route inputs with Zod schemas. Confidence: 0.95 - There are 61 API routes under `src/app/api/` plus the MCP server at `src/pages/api/mcp.ts`. Confidence: 0.90 # i18n - Use `useTranslations()` (client) and `getTranslations()` (server) from next-intl for all user-facing strings. Confidence: 0.95 - Support 17 locales with RTL support for Arabic, Hebrew, and Farsi. Confidence: 0.90 # database - Use soft deletes (`deletedAt` field) on Prompt and Comment models — never hard-delete these records. Confidence: 0.95
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