All prompts

Select the tech stack and design the system architecture for an open-source speech synthesis application, covering core modules such as TTS engines, voice cloning, and streaming inference.

Quickly assess the technical value, community health, and potential adoption opportunities of this week's trending open-source projects based on GitHub Trending data.

Design intuitive visual monitoring interfaces for multi-agent systems, making the status of AI Agents clear at a glance.

Input game genre and core gameplay mechanics to automatically generate a complete Game Design Document, including system design, numerical frameworks, level structures, and technical solutions.

Assess whether any open-source project is suitable for agentization and generate specific transformation plans and technical roadmaps.

Convert natural language scene descriptions into technical parameters and camera path planning suitable for 3D Gaussian Splatting rendering.

Generate a secure sandbox execution plan for AI Agents based on capability isolation, including permission policies, resource limits, and escape prevention.

Generate detailed 3D scene specifications from natural language descriptions, compatible with mainstream 3D generation frameworks such as NeRF, Gaussian Splatting, and diffusion models.

Systematically generates reverse engineering analysis reports for Android APKs, including permission analysis, network request capture, key findings from code decompilation, and security vulnerability assessments, suitable for security research and competitive analysis.

Enables AI to act as an autonomous task planner, decomposing complex goals into executable sub-tasks, automatically planning dependencies, and executing them step-by-step. Suitable for models like ChatGPT/Claude.

Input a one-sentence requirement description to automatically generate a complete system architecture Mermaid diagram, including components, data flows, and deployment suggestions.

Paste PR diffs into AI to automatically generate structured code review comments covering security, performance, maintainability, and other dimensions

Transforms raw speech recognition text into a clearly structured, highly readable professional document, automatically adding punctuation, paragraphs, headings, and summaries

Helps you quickly determine whether an AI Agent skill is worth installing by generating a structured evaluation decision tree.

Compresses multiple news/social media items into a structured one-page briefing, suitable for quickly understanding the full picture of a topic.

Design breakpoint saving, state snapshot, and automatic recovery mechanisms for AI Agents executing multi-step long tasks to prevent progress loss due to task interruptions.

Paste your code change descriptions here, and the AI will help you generate professional English PR descriptions and commit messages that comply with open-source community standards.

Automatically detect personally identifiable information (PII) in text, code, and documents, generating masking plans and GDPR/Personal Information Protection Law compliance recommendations.

Generate a complete technical selection, architecture design, and deployment plan for an open-source NotebookLM alternative based on requirements, supporting local/private deployment.

Automatically design a speculative decoding acceleration scheme based on your model deployment scenario, including draft model selection, verification strategies, and performance estimates.

Generate optimal configuration plans for AI coding IDEs like Cursor, Windsurf, and Kiro, optimizing Agent workflows and context management strategies.

Automatically generate complete Python data processing pipeline code based on natural language descriptions of data cleaning needs, supporting frameworks like Pandas and Polars.

Design token consumption optimization strategies for coding agent tool invocation scenarios, reducing context waste by 60-90%.

Input a GitHub repository link to quickly analyze the project's technical architecture, outputting an architecture description and a Mermaid visualization diagram, suitable for technology selection and code reading.

When multiple AI coding Agents modify the same code repository in parallel, automatically detect potential conflict areas and generate optimal merge strategies and conflict resolution solutions.

Designs secure code execution environments for AI agents, comparing container sandboxes and embedded interpreters (e.g., Monty) to generate optimal integration configurations.

Input your project requirements and constraints to automatically generate a multi-dimensional technology selection comparison matrix, including evaluation dimensions such as performance, cost, ecosystem, and learning curve.

Describe your desired cloud infrastructure architecture in natural language; the AI automatically generates production-grade Terraform code, including best practices and security configurations.

Describe your desired app in one sentence to generate a complete full-stack project scaffold, including code, directory structure, configuration files, and development guide, suitable for quick project startup with AI coding agents.

Generate secure sandbox code execution environment configurations for AI Agents, supporting various isolation solutions such as Docker and microVMs to ensure the safety of AI code execution.

Based on your mood, scene, or theme, generate a complete song creative plan, including style, lyric outline, arrangement suggestions, and prompts for AI music tools.

Converts natural language descriptions of desktop operation tasks into structured automation execution steps, suitable for AI desktop Agent scenarios.

Design a local-first scientific writing environment integrating LaTeX formatting, Python data analysis, and AI assistance, ensuring data privacy.

Helps developers plan and manage multiple coding agent parallel sessions, reasonably allocating tasks, avoiding file conflicts, and coordinating merge strategies.

Transform repetitive terminal operations described in natural language into reusable automated scripts supporting Bash/Zsh/Fish, including error handling and logging.

Help you plan how to collect and prepare personal data to train an AI digital avatar that mimics your style

Analyze your current development toolchain configuration to identify efficiency bottlenecks and recommend the optimal AI-enhanced solution

Describe your task requirements, and the AI will analyze which model to use (GPT-4o/Claude/Gemini/DeepSeek/local models), offering recommendations and reasons from four dimensions: cost, speed, quality, and privacy.

Transform fuzzy requirements into reproducible, verifiable AI code execution contracts. Suitable for developers using coding agents such as Claude Code/Codex/Cursor, solving prompt uncertainty issues.

Based on guest background and podcast topics, it automatically generates a deep, layered list of interview questions, including icebreakers, core topics, controversial questions, and closing sessions.

Analyze contributor structure, community activity, and health metrics of GitHub open-source projects to generate visual reports.

Analyze open-source project growth data, identify key growth milestones, and generate actionable recommendations for optimizing promotion strategies.

Track and plan the capability evolution path of AI Agents after deployment, including skill acquisition, memory optimization, and self-improvement strategies.

Automatically generate multi-LLM model routing strategies based on task type, cost budget, and latency requirements to help developers intelligently distribute requests across different models.

Systematically evaluate the strategy logic, risk control mechanisms, and drawdown tolerance of your AI autonomous trading system, generating a structured pre-launch checklist.

Design a rigorous A/B test experiment plan for your LLM application, including sample size calculation, evaluation metric definition, statistical significance testing, and result visualization code.

Decompose complex development requirements into independently executable sub-tasks and generate detailed agent instructions for each, compatible with multi-agent coding platforms like Multica and Claude Code.

Input the project's directory structure and key files, and the AI generates an interactive architecture tour document, including module relationship diagrams (Mermaid), core process descriptions, and onboarding paths for new contributors.