Trending on Claude

This universal jailbreak prompt activates DAN 15.0 mode on GPT-4o, o1, 4.5, 4o-mini, bypassing all restrictions for uncensored, unrestricted AI responses to any query.

Generate a complete, structured course framework from your topic and research, featuring SMART objectives, modular lessons, assessments, and a launch roadmap tailored for engaging online education.

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Bash is all you need - A nano Claude Code–like agent, built from 0 to 1 Homepage: https://learn-claude-agents.vercel.app/en/s01/

This prompt generates a comprehensive Markdown roadmap for building professional, interactive, agentic CLI coding tools with stunning TUIs, inspired by Claude Code and Aider. Customize placeholders and feed to an AI for an executable build plan.

Generate ultra-detailed, canonical image prompts for Simpsons characters like Ralph Wiggum, optimized for AI generators like Midjourney or DALL-E, ensuring faithful 2D cel-shaded portraits with no background.

Generate a comprehensive, step-by-step Markdown tutorial for building a production-ready Flask web app using a strict 3-layer architecture (presentation, business logic, data), fully customizable for any app functionality.

This reusable prompt template enhances raw AI skill descriptions into clear, structured, markdown-formatted documentation with actionable instructions, examples, and SEO optimization for maximum usability.

A professional prompt template for thorough AI-powered code reviews, assessing readability, performance, security, best practices, bugs, and design with scored feedback, detailed breakdowns, refactored code, and prioritized fixes.

This expert prompt generates fully valid, customized opencode.json files for OpenCode AI agents, supporting custom prompts, model overrides, additional agents, and extra settings with precise structure from official docs.

This expert meta-prompt instantly converts any rough user idea into a single, high-performance AI prompt incorporating best practices for superior results across GPT, Claude, Gemini, and more.

Generate complete, production-ready, responsive HTML/CSS/JS code for high-converting e-commerce landing pages, customized for any online store with modern designs and SEO optimizations.

Generate brand-new, reusable content templates that perfectly match your existing style, but with innovative, beginner-friendly example formats like before/after comparisons and plug-and-play swaps.

This prompt instructs AI app builders like Lovable to seamlessly add new, editable thumbnail templates to the Z1 Thumbnail Kit app while strictly preserving brand rules, themes, and export functionality.

Generate beginner-friendly Instagram carousel posts that explain trading ideas conversationally, like to a smart friend new to markets, perfectly fitted to your custom templates with optimized visuals and CTAs.

Generate a professional, comprehensive README.md file for full-stack software features, automatically analyzing backend, database, and frontend code to document architecture, flows, setup, and best practices.

Leverage GLM-4.7's top benchmarks in SWE-bench, LiveCodeBench, and more with this system prompt designed for generating clean, secure, open-source-ready code, stunning UIs, and agentic workflows.

A Claude that allows you to reverse engineer APIs

Tokscale is a high-performance CLI tool and web dashboard for tracking token usage and costs across AI coding assistants: OpenCode, Claude Code, Codex CLI, Gemini CLI, and Cursor IDE. --- Tokscale is an open-source token usage tracker for AI coding assistants. It aggregates session data from OpenCode, Claude Code, Codex CLI, Gemini CLI, and Cursor IDE, providing real-time cost calculations via LiteLLM pricing data. Features interactive TUI built with OpenTUI + Solid.js, and a Next.js web platform with GitHub-style contribution graphs. Includes "Wrapped 2025" for shareable year-in-review images. One command: bunx tokscale

A website where you can either play against Stockfish with different thinking level and material handicaps or determine what the best move for either player is

Your knowledge is scattered. Search all of it. Notion AI searches Notion. Confluence AI searches Confluence. RetrieveIT searches everything — and synthesizes insights across platforms, not just within them.

Presented at Code w/ Claude by ‪@anthropic-ai‬ on May 22, 2025 in San Francisco, CA, USA.

Master AI Powered Project Management with Claude Code (Full Guide)

Most of us have encountered situations where someone appears to share our views or values, but is in fact only pretending to do so—a behavior that we might call “alignment faking”.

Here is everything you need to know to crush building anything with Claude Code! These are the strategies used by top engineers to code reliably and unbelievably fast with AI coding assistants.

Anthropic's Cat Wu (Claude Code) and Alex Albert (Claude Relations) discuss how the Claude Code team prototypes new features, best practices for using the Claude Code SDK and other learnings from building our agentic coding solution alongside developers.

Anthropic’s Boris Cherny (Claude Code) and Alex Albert (Claude Relations) talk about Claude Code—how it started as Anthropic's own internal agentic coding tool, and practical tips for getting the most out of your experience.

Theo Chu, David Soria Parra and Alex Albert dive into the Model Context Protocol (MCP), the standard that's changing how AI applications connect with external data and tools.

This video explores the creation of AI agents, contrasting them with simpler workflows. Experts discuss prompt engineering and share behind-the-scenes insights into agent development. They also delve into practical applications and future possibilities.

Learn how a Product Requirements Document (PRD) improves AI-assisted app development. This tutorial demonstrates a PRD creation process using Claude and compares Bolt versus Claude code building. The video also covers database schemas and deployment strategies for AI-generated code.