All prompts

Create an AI learning tutor that adapts to student levels, supporting Socratic questioning and knowledge graph tracking.

Describe your required API call workflow in natural language; the AI automatically generates orchestration code and error handling logic, supporting REST/GraphQL/gRPC protocols.

Design a complete multimodal content moderation solution for AI applications, covering safety and compliance strategies for text, images, video, and audio.

Describe your repetitive workflow in natural language to automatically generate executable automation scripts (supporting n8n/Zapier/Python/Shell).

Helps you build a local text-to-speech environment from scratch, supporting multilingual and multi-voice cloning.

Unified management of multiple AI coding agents, assigning tasks, tracking progress, and accumulating skills like a team manager.

Comprehensively evaluate security isolation solutions for AI Agent code execution sandboxes, covering technology selections such as containers, microVMs, and WASM.

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.

Simulate a senior SRE engineer to systematically analyze the root causes of production incidents and generate a structured RCA report.

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

Deeply understand the principles of Speculative Decoding technology and design the optimal acceleration solution for LLM inference services.

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

Analyzes the proportion, quality, and trends of AI-generated code in repositories to help teams quantify the actual impact of AI coding tools.

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

Generates a complete self-hosted deployment plan for open-source AI clients (such as Thunderbolt, Open WebUI, LibreChat, etc.) based on user hardware conditions and requirements, including model selection, Docker configuration, and security hardening.

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

Generates a context window optimization checklist for AI coding agents, reducing token consumption and improving code generation quality

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.

Input natural language requirements to automatically generate an MCP protocol-compliant Server interface design document, including tool definitions, parameter schemas, and example calls.

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

Automatically generates multi-model routing rules based on task type, latency requirements, and budget, saving up to 70% in API costs.

Generate a semantic search indexing strategy for your code repository, enabling AI coding assistants to precisely locate any code snippet.

Input a topic to automatically generate a complete workflow prompt for short video production, including script, storyboard, voiceover copy, subtitles, and publishing plan.

Batch converts multimodal documents such as PDFs, images, and web pages into structured Markdown knowledge bases, supporting direct integration with RAG systems.

Addresses the context window explosion problem for AI coding agents (such as Claude Code, Cursor, Codex) by generating sandboxing strategies for tool outputs and token recycling plans to achieve 90%+ context savings.

A complete solution for building a local voice cloning studio based on open-source solutions (Voicebox/Kokoro/Chatterbox, etc.), including multi-TTS engine comparison evaluation, voice cloning quality assessment, and privacy compliance checks.

One piece of copy, rewritten across multiple platforms, adapted for Xiaohongshu, Twitter, LinkedIn, and official accounts

System prompt templates designed for the RAG system allow AI to accurately answer questions based on retrieved document fragments, reducing hallucinations and supporting multiple document source citations

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.

Paste any open-source project's README to receive an attractiveness score and a professional-grade rewritten version, significantly boosting Star conversion rates.

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

Automatically recommends the optimal AI model routing strategy based on task type, complexity, and cost budget, helping you save money while maintaining efficiency.

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

Input a natural language description to generate CAD modeling instructions, parametric design schemes, and 3D model structure descriptions, suitable for rapid prototyping and engineering modeling scenarios.

Generate a comprehensive performance benchmark plan for LLM inference services (such as vLLM, SGLang, TensorRT-LLM), including test metrics, load models, and result analysis templates.

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.

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

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

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

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

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.

Systematically detects hallucinations and factual errors in AI-generated content, providing multidimensional verification strategies

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