All prompts

Input network traffic logs into AI to automatically analyze abnormal connections, suspicious behavior, and potential threats, generating a professional security report.

Generate comprehensive security scan reports and hardening recommendation checklists for Docker images of any open-source project, covering best practices such as CVE vulnerabilities, minimal base images, non-root users, and multi-stage builds.

Design a complete MLOps experiment tracking and model version management solution based on team size and tech stack, covering tool selection and configuration for MLflow, W&B, DVC, etc.

Automatically generate multi-model routing rules for your AI coding assistant based on your use case and budget: use cheaper models for simple tasks and stronger models for complex ones, saving up to 70% in costs.

A structured framework to quickly assess the technical value, community activity, and commercial potential of a GitHub open-source AI project, suitable for tech investors and developers for project screening.

Design a workspace architecture supporting collaboration among multiple AI Agents, including task assignment, skill evolution, progress tracking, and conflict resolution mechanisms, suitable for team-level AI coding and operations scenarios.

Input the product name, core features, and target users to generate launch copy for multiple platforms including Twitter/X, Product Hunt, Xiaohongshu, and LinkedIn in one go.

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.

Design a structured output validation pipeline for LLM applications that automatically detects format errors and triggers retry repair strategies, supporting validation schemes such as JSON Schema and Pydantic.

Paste a piece of code, and the AI will analyze its performance bottlenecks and provide specific optimization plans, including time complexity, memory usage, and concurrency optimization suggestions.

Leave your work logbook to AI, which automatically distills it into a clear, highlighted-point weekly report suitable for your boss or team.

Generates comprehensive desktop operation test scenarios for Computer-Use Agents (CUAs), including multi-step UI interactions, exception handling, and evaluation metrics, suitable for macOS/Linux/Windows sandbox environments.

Designs multi-agent collaboration workflows based on Kanban views, supporting requirement breakdown, task assignment, progress tracking, and automated orchestration, suitable for Spec-driven AI development teams.

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

Uses LLMs to extract structured entities from unstructured text, supporting custom schemas and few-shot examples, suitable for document parsing, report analysis, and other scenarios.

Input an initial prompt to automatically analyze its weaknesses and generate 3 optimized variants, complete with improvement rationale and expected effect comparisons, to help rapidly iterate on prompt quality.

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.

An issue management prompt designed for open-source project maintainers, automatically analyzing issue content to generate professional responses, classification labels, and priority suggestions.

Input Rust CLI project information to automatically generate a complete Homebrew Formula file, GitHub Actions release workflow, and tap repository structure, supporting cross-platform compilation.

Describe your microservice deployment needs in natural language; the AI automatically generates a complete Helm Chart, including values.yaml, templates, and NOTES.txt.

Enter a topic and batch generate hooked copy for platforms like Douyin, Xiaohongshu, and YouTube Shorts, including tips for optimizing completion rates.

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

Quickly organize user interview records into structured insight reports, extracting key pain points, unmet needs, and behavioral patterns

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.

Design a complete conversational flow for the WhatsApp AI customer service bot, including intent recognition, multi-turn conversation status management, human-machine collaboration upgrade strategies, and multilingual support solutions.

Generate complete cost monitoring dashboard configurations and budget alerting rules for AI Agent systems, covering token usage, API calls, and model routing cost tracking.

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.

Enable AI Agents to collect information from the entire web, searching and reading content from platforms like Twitter, Reddit, YouTube, GitHub, Bilibili, and Xiaohongshu, then generating structured analysis reports.

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.

Design a high-performance inference service deployment solution for local GGUF/SafeTensors models with zero Python dependencies, including model discovery, hot-swapping, and OpenAI-compatible API configuration.

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.

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.

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.

Enter the target username to systematically analyze their registration status on mainstream platforms, personal information links, activity timelines, and social network graphs to generate structured intelligence reports.

Analyze your terminal usage habits and configuration, diagnose efficiency bottlenecks, and generate customized terminal environment optimization plans (shell configuration, shortcuts, plugin recommendations, theme beautification).

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

Design a complete new user onboarding process for AI/SaaS products, including step-by-step breakdown, onboarding copy, empty state design, and activation metrics

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.

Transforms vague user needs into structured Agent task specification documents, including objectives, constraints, steps, and acceptance criteria, ensuring precise execution rather than guessing intent.

Automatically generates optimal scraping strategies based on target website characteristics, including anti-detection solutions, data parsing rules, and error recovery mechanisms, suitable for frameworks like Scrapling/Playwright/Puppeteer.

Based on the target company, position, and interview round, it generates high-quality interview rhetorical questions to help candidates demonstrate deep thinking and genuine interest during the rhetorical process

Enter the technology areas and sources you are focusing on this week, and it will automatically generate weekly technology trend updates in the style of ThoughtWorks Technology Radar, including adoption/trial/evaluation/deferral categories

Based on users' learning habits, tool preferences, and knowledge areas, a complete personal knowledge management system solution is designed, including tool selection, workflow design, and a progressive roadmap

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.

The best solution is recommended from dozens of free LLM API services based on requirements, along with examples of integrated code.