All prompts

Design a graph-structured RAG system that combines knowledge graph entity-relation reasoning with vector retrieval to improve complex Q&A quality.

Input multiple competitor names to automatically generate a detailed feature comparison matrix table, including pricing, core features, tech stack, and pros/cons analysis.

Input a one-sentence description of the MCP Server functionality you want, and automatically generate a complete design document, including tool definitions, resource schemas, transport protocol selection, and implementation code framework.

Translate English READMEs into Chinese (or reverse), retain the original format, badges, and links, and automatically adapt to localized expression habits to generate complete files that can be directly submitted for PR.

Input a project requirement description to automatically generate a complete GitHub Actions workflow YAML file, supporting the entire process of testing, building, and deploying.

Evaluate and design speculative decoding solutions for LLM inference, comparing the performance of different draft models and verification strategies.

Input multiple open-source TTS model names to automatically generate a multi-dimensional comparative evaluation framework covering audio quality, multilingual support, voice cloning, latency, and deployment difficulty.

Input image/video/document descriptions to automatically generate multi-dimensional structured tags, summaries, and knowledge graph nodes.

Input business scenarios or tech stacks to automatically generate Wardley Map strategic analysis, identifying component evolution stages, strategic opportunities, and risk points.

Input your LLM inference scenario parameters to generate a speculative decoding acceleration plan evaluation report, including draft model selection, batching strategy, expected speedup ratio, and deployment recommendations.

Helps analyze performance bottlenecks in Rust projects, generating flame graph interpretation reports and optimization suggestions.

Assess security risks in AI agent sandbox environments and generate escape attack surface analysis and defense hardening plans.

Design a cost monitoring dashboard for multi-LLM model API calls, including token usage tracking, cost alerts, and optimization suggestions.

Generate a selection comparison matrix and migration suggestions for multi-agent collaboration platforms based on team size, task type, and tech stack.

Input your speech synthesis requirements to automatically generate a complete open-source TTS model comparison evaluation plan and Python test script.

Rapidly build multi-agent collaborative workflows using the official OpenAI Agents SDK, including a complete code template for agent definitions, handoff mechanisms, guardrails, and tool integration.

Automatically decomposes complex tasks into executable sub-tasks and generates execution plans with dependencies, suitable for multi-agent collaboration scenarios.

A complete technical solution generator for camera-free human pose estimation and presence detection using WiFi signals.

Input a GitHub repository URL to automatically generate production-grade Docker Compose deployment configurations including environment variables, persistent storage, and health checks.

Designs low-latency, composable data flow architecture solutions for robots and AI applications, supporting multi-language nodes, zero-copy communication, and distributed deployment.

Uses AI to automatically scan and diagnose Kubernetes cluster issues, generating human-readable fault analysis reports and remediation suggestions.

Input your use case to automatically compare the price, performance, and latency of mainstream LLM APIs, providing optimal selection recommendations.

Design Bloomberg's end-level AI financial data analysis workflow, integrating multi-source data, quantitative analysis, and multi-agent decision-making systems

Configure intelligent model routing strategies for personal AI Agents, automatically selecting the most cost-effective model based on task complexity.

Design an AI-driven public opinion monitoring system that aggregates hotspots across multiple platforms, supporting intelligent filtering and push notifications.

Input your AI product information to generate a comprehensive pricing strategy analysis report, including competitor comparison, user segmentation, and revenue forecasting.

Input several technical solution options, and the AI helps you generate a structured comparative analysis and final recommendation.

Input the project's dependency list or package.json/requirements.txt content to automatically analyze the open-source licenses of all dependencies, generating a compliance risk report and remediation suggestions.

Input a GitHub repository URL to automatically generate a quick start guide for newcomers, including architecture overview, core module descriptions, local development environment setup steps, and FAQ.

Convert articles, papers, or video transcripts on any topic into natural, fluent two-person podcast dialogue scripts, suitable for NotebookLM-style audio content creation.

Design recursive language model reasoning schemes, breaking down ultra-long context tasks into chains of recursively callable sub-tasks.

Automatically generate standardized Pull Request descriptions based on git diffs, including change summaries, impact scope, and testing suggestions.

Rapidly evaluates the applicability and expected benefits of different speculative decoding acceleration solutions

Generates a comprehensive self-diagnosis report for your AI Agent system, checking key metrics such as memory systems, tool invocation chains, and context window utilization

Generate comprehensive self-diagnostic reports for your AI Agent system, checking key metrics such as memory systems, tool call chains, and context window usage

Enter any GitHub open-source project information and it will automatically generate a 5-minute quick tutorial for beginners

Imitate Manus's persistent Markdown planning workflow, allowing AI coding assistants to maintain clear plan files during complex tasks, automatically tracking progress and marking completion status to avoid context loss.

Automatically generate structured daily tech/AI news digests from hot topics across multiple platforms, including summaries, categories, and importance ratings.

Converts natural language queries into financial data API calls, supporting real-time quotes, fundamental analysis, and technical indicator calculations.

Based on Gene Expression Programming (GEP) concepts, generates minimal runnable skill tree seed files for self-evolving Agents, allowing them to autonomously evolve from the seed.

Analyze your AI coding agent workflow, identify token waste points, and provide specific optimization suggestions to help you save 60-90% of API costs

Design an AI model intelligent routing system that automatically selects the optimal model based on task type, complexity, and cost budget, reducing API costs by 70%.

Analyze your AI Agent tool call chain, identify token waste points, generate specific optimization suggestions, and estimate savings.

Quickly rewrite the README bilingual version in Chinese and English, optimizing the structure and enhancing international influence

Input your CLI tool requirements to generate a complete Rust CLI design document, including architecture, dependency selection, and core module breakdown.

Generates a complete community cold-start growth script for your open-source project, covering the full journey from the first Star to thousands of Stars.

Enter keywords or topics, and AI automatically analyzes multi-platform hot topics, public opinion trends, and generates structured briefs, suitable for daily monitoring by operations and marketing personnel

Compress lengthy prompts to the shortest while maintaining the same effect. Helps you save 50-80% of token overhead and lower API call costs