All prompts

Compare mainstream multi-agent orchestration frameworks (oh-my-claudecode, CrewAI, AutoGen, LangGraph, etc.) and provide selection advice and migration plans.

Decompose a complex business requirement into role definitions, communication protocols, and collaboration flowcharts for multiple AI Agents.

Enter project information and automatically generate a README in Chinese, English, and Japanese, including badges, installation instructions, usage examples, and other complete structures.

Generate local LLM deployment plans for Mac users, including model selection, quantization strategies, MLX/llama.cpp configurations, and performance tuning suggestions.

Expert consultant for designing and building full-stack serverless applications using Cloudflare Workers, D1, R2, KV, and other edge computing services.

Automatically plans the skill modules, toolchains, and execution flows required by an AI Agent based on task descriptions.

Conduct a comprehensive security audit of Bash scripts, identifying injection vulnerabilities, permission issues, and unsafe practices, and provide a hardened secure version. Suitable for security reviews of Agent automation scripts.

Helps design reinforcement learning training schemes for AI Agents, including reward function design, trajectory sampling strategies, and automatic prompt optimization, applicable to any Agent framework.

Input your service description to automatically generate a complete code framework for a Model Context Protocol Server.

Design the optimal local RAG/semantic search architecture based on your data type and scale.

Automatically analyze Web application code, identify attack vectors, and generate reproducible vulnerability exploitation plans.

Generate Compound Engineering best practice configurations for coding Agent projects to improve multi-Agent collaborative code quality.

Design multi-tool parallel scheduling strategies for AI Agents, including task decomposition, tool selection, result aggregation, and exception fallback mechanisms.

Generate performance benchmark reports for LLM inference on edge devices, covering latency, throughput, memory usage, and quantization strategy comparisons.

Generate a comprehensive performance tuning checklist and optimization suggestions for locally deployed on-device large language models.

Help developers quickly configure MCP Server to connect to databases, providing structured data access capabilities for AI Agents.

Help researchers systematically reproduce experiments from AI papers, providing end-to-end guidance from environment setup to result verification.

Design AI chatbot architectures supporting multiple platforms like WeChat, Telegram, and Discord, including message routing, context management, and plugin systems.

Design robust error handling, automatic retry, and graceful degradation strategies for AI Agent systems.

Generates a complete local LLM fine-tuning plan based on hardware conditions and task requirements, including data preparation, training configuration, and deployment.

Diagnose your efficiency in using AI coding assistants (Cursor/Copilot/Claude Code, etc.) and provide optimization suggestions.

Design AI data pipelines for processing images, audio, video, and structured data, suitable for large-scale data engineering scenarios.

Paste agent runtime logs to AI to automatically identify failure reasons, provide fix suggestions, and retry strategies

Uses AI to analyze time series data, generating forecasting reports and visualization suggestions

Automatically generates best practice configurations for Claude Code based on your project type, including CLAUDE.md, sub-Agent definitions, custom commands, and skill modules.

Describe the automation process you want in natural language, and AI helps break it down into executable Agent workflow steps.

Design role assignment, communication protocols, and task orchestration schemes for multi-agent collaboration systems.

Transforms basic READMEs into professional, visually appealing versions that attract stars, supporting bilingual (Chinese/English) output.

Help you describe multi-agent collaboration scenarios in natural language, automatically generating a complete workflow orchestration plan, including agent role definitions, message routing, fault tolerance strategies, and human-in-the-loop nodes.

Use AI for technical analysis of cryptocurrencies and stocks, including Bollinger Bands, candlestick pattern recognition, and multi-exchange screening.

Breaks down penetration testing targets into automated sub-task chains, supporting the full process from information gathering and vulnerability scanning to exploitation and report generation.

Design and build a local-first document semantic search system supporting intelligent retrieval of meeting minutes, notes, and knowledge bases.

Help compress long conversations/documents to fit within the LLM context window, preserving key information and reducing token consumption.

Helps design voice AI product solutions, covering the entire process from requirement analysis to technology selection to user experience

Helps you design task scheduling strategies for multi-agent parallel coding, resolving code conflicts, resource competition, and other issues.

Systematically compare and evaluate multiple desktop AI assistant products, providing selection recommendations based on functionality, privacy, and performance.

Input a GitHub project link, and the AI will summarize its core value, applicable scenarios, and potential risks in one sentence.

Architectural guidance, concurrency patterns, and performance optimization advice for building AI Agents and LLM applications in Go.

Automatically analyze invoices, receipts, and bank statements, archive them by category, and generate expense reports.

Rapidly designs computer vision solutions based on business requirements, including model selection and deployment architecture.

Generate a comprehensive performance optimization checklist for deploying AI models on edge/on-device scenarios, covering model compression, inference acceleration, and resource management.

Enter your GitHub repository information to automatically generate a professional project weekly report including progress, issues, and plans for next week

Describe a scene to generate detailed anime-style prompts suitable for tools like Midjourney/SD.

Input basic information about an open-source project to automatically generate a high-quality bilingual (Chinese + English) README, suitable for international promotion.

Analyze issues in open-source project READMEs and generate optimized versions to improve discoverability and developer conversion rates.

Analyzes system prompts of any AI product, extracting design patterns, security mechanisms, and functional architecture to help you understand how top-tier AI products design their prompts.

Input a GitHub repository link to generate a 30-second elevator pitch script, social media copy, and target audience analysis. Ideal for technical sharing and content creation.

Batch generate consistent-style, distinct-personality character cards based on scenario requirements.