All prompts

Guide LLMs in chunky translations of entire books or long documents, maintaining contextual coherence, terminology consistency, and formatting integrity

Using the OpenAI Agents SDK to design an intelligent customer service system collaborating with multiple agents, including routing, professional handling, and escalation mechanisms

Generate precise processing instructions for AI-driven green screen keying tools, covering edge blending, motion blur, and translucent area processing

Enter multiple competitor names to automatically generate a structured functional comparison table, supporting custom comparison dimensions and scores

Design a complete process for AI green screen keying and virtual background synthesis based on shooting needs, covering shooting parameters, model selection, and post-production pipeline

Generate comprehensive metadata governance solutions for enterprises, including data lineage tracking, data quality monitoring, automatic classification and annotation, and data catalog construction, helping AI teams build trusted data infrastructure.

Analyze and recommend the most suitable memory system architecture (vector database, knowledge graph, file system, etc.) based on your Agent application scenario.

Transform an English README into a version tailored for Chinese developers, preserving technical accuracy while optimizing readability and appeal.

Batch generates high-quality skill files (CLAUDE.md / skills) for AI coding agents (such as Claude Code, Codex), including structural standards, best practice checks, and improvement suggestions.

Generates complete configuration plans for building a unified AI API gateway using free quotas from various providers, supporting multi-model routing and account rotation.

Converts obscure API error messages into easy-to-understand Chinese explanations, along with specific repair suggestions and code examples

Enter a technical requirements description and automatically generate a standard RFC format technical solution document, including background, solution comparison, architecture design, and implementation plan

Automatically generates comparative evaluation scripts for multiple LLMs based on requirements, supporting custom test sets, scoring metrics, and result visualization.

Transform your spreadsheet data requirements into a complete modeling solution—feature analysis, model selection, metric recommendations, and deployment recommendations. Supports classification and regression tasks, covering everything from small datasets to large-scale scenarios.

Enter any open-source project README content, and AI uses structured templates to help you understand the core of the project in just one minute: what problem is solved, technical architecture, applicable scenarios, difficulty to get started, and competitor comparisons.

Like OpenAI Symphony, project work is transformed into independent, autonomous tasks, allowing teams to manage work rather than supervise AI. Suitable for engineering teams that need multi-agent parallel development and automated CI/PR processes.

Guide to deploying efficient TTS speech synthesis services in a pure CPU environment, without the need for a GPU. Suitable for voice application development in edge devices, embedded systems, or cost-sensitive scenarios.

Design a complete closed-loop AI Agent autonomous project delivery process, from task receipt to PR merging, without step-by-step human supervision. Suitable for team-level AI coding agent deployment scenarios.

Help developers evaluate and select full-duplex voice AI tech stacks, and design low-latency real-time voice interaction system architectures.

Describe requirements in natural language to automatically generate multi-agent collaborative workflows, including role assignment, tool invocation, and task orchestration.

Describe your document types and scale to generate a complete local semantic search system deployment plan, including embedding model selection, vector database configuration, and search API code.

Design a complete AI pipeline for extracting structured data from PDF documents, supporting complex elements such as tables, formulas, and charts.

Paste your README content, and the AI will score and rewrite it from a developer's perspective to help your project stand out on GitHub Trending.

Organize multiple AI coding agents into a team, assign tasks, and track progress, managing AI agents just like a human team.

Input a competitor's name, and the AI performs a deep dive across five dimensions: product positioning, technical architecture, business model, user experience, and growth strategy, outputting a structured analysis report.

Automatically generate the optimal .cursor/rules configuration file based on your project's tech stack and team conventions, ensuring the AI coding assistant perfectly fits your project.

Automatically analyze the project dependency tree, assess upgrade risks, breaking changes, and compatibility issues, and generate a detailed upgrade recommendation report.

Input exported WeChat chat data to automatically generate an annual social analysis report, including visual insights on chat frequency, sentiment trends, and key topics.

Design a browser automation solution for AI Agents, covering practical strategies such as anti-fingerprint detection, behavior simulation, and CAPTCHA bypass.

Automatically generate SEO-optimized series of blog posts, tutorials, and comparative analyses based on open-source projects to build a content matrix that drives organic traffic growth.

Design efficient session memory, context compression, and cross-session knowledge persistence solutions for coding agents like Claude Code.

Design a session memory system for an AI coding assistant that automatically compresses historical sessions and injects key context into new ones, improving cross-session coding efficiency.

Paste any code snippet, and the AI will add detailed Chinese comments line by line, followed by an overall logic flowchart and potential issue warnings at the end.

Systematically review code change plans generated by AI coding agents, providing structured feedback to ensure code quality and architectural consistency.

System prompt template for centrally managing multiple AI coding agents, enabling automatic task assignment, progress tracking, and result aggregation.

Automatically convert natural language questions into SQL queries, supporting multi-table joins and aggregate analysis, and explain query results in plain language. Suitable for non-technical users to quickly query databases.

Simulate a senior architect conducting a comprehensive review of technical solutions, providing scores and improvement suggestions from dimensions such as feasibility, scalability, security, and cost.

Helps you systematically evaluate GraphRAG solutions, providing comprehensive comparative analysis from graph construction and retrieval strategies to deployment costs.

Designs self-evolution paths for your AI agents, outputting executable evolution strategies and skill tree expansion plans.

Quickly evaluate whether a GitHub open-source project is worth watching, outputting a structured score and a one-sentence conclusion.

Help you design an AI Agent capable of self-learning and growth, automatically expanding its skill tree starting from seed skills.

Design an auto-memory capture, compression, and context injection system for AI coding assistants to ensure knowledge continuity across sessions.

Automatically decompose tasks based on Product Requirements Documents (PRD) and assign them to multiple AI coding Agents for collaborative completion.

Input code diffs to automatically generate professional Pull Request review comments, including security risks, performance suggestions, and best practices.

Automatically generate standardized CHANGELOGs and user-friendly release notes based on Git commit history and PR lists.

Help you optimize local LLM inference performance on Mac, including memory management, batch processing configuration, and SSD caching strategies.

Describe your application requirements in natural language to automatically generate production-grade Dockerfiles, supporting multi-stage builds and security hardening.

Input a GitHub repository URL to generate a community health analysis dashboard design, including key metrics, visualization suggestions, and operational strategies.