All prompts

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.

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.

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

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

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

We help you design a complete automated electronic signature process—from contract template generation, signing order arrangement to signing reminders and archiving strategies. Suitable for teams that need to process contracts in bulk.

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.

Enter any open-source project README content, and AI uses structured templates to help you understand the core of the project in just one minute: what problem is solved, technical architecture, applicable scenarios, difficulty to get started, and competitor comparisons.

Based on project type and team specifications, automatically generates adaptive workflow lifecycle rule files adapted to AI coding agents (Claude Code, Codex, Cursor, etc.), including behavioral constraints for planning, implementation, testing, and review.

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

Describe requirements in natural language to automatically generate multi-agent collaborative workflows, including role assignment, tool invocation, and task orchestration.

Help developers evaluate and select the most suitable LLM inference acceleration technologies, including speculative decoding, quantization, and KV Cache optimization.

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.

Design a complete AI pipeline for extracting structured data from PDF documents, supporting complex elements such as tables, formulas, and charts.

Paste your README content, and the AI will score and rewrite it from a developer's perspective to help your project stand out on GitHub Trending.

Automatically analyze the project dependency tree, assess upgrade risks, breaking changes, and compatibility issues, and generate a detailed upgrade recommendation report.

Input exported WeChat chat data to automatically generate an annual social analysis report, including visual insights on chat frequency, sentiment trends, and key topics.

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.

Design efficient session memory, context compression, and cross-session knowledge persistence solutions for coding agents like Claude Code.

Paste any code snippet, and the AI will add detailed Chinese comments line by line, followed by an overall logic flowchart and potential issue warnings at the end.

Automatically convert natural language questions into SQL queries, supporting multi-table joins and aggregate analysis, and explain query results in plain language. Suitable for non-technical users to quickly query databases.

Designs self-evolution paths for your AI agents, outputting executable evolution strategies and skill tree expansion plans.

Quickly evaluate whether a GitHub open-source project is worth watching, outputting a structured score and a one-sentence conclusion.

Design an auto-memory capture, compression, and context injection system for AI coding assistants to ensure knowledge continuity across sessions.

Automatically decompose tasks based on Product Requirements Documents (PRD) and assign them to multiple AI coding Agents for collaborative completion.

Input code diffs to automatically generate professional Pull Request review comments, including security risks, performance suggestions, and best practices.

Help you optimize local LLM inference performance on Mac, including memory management, batch processing configuration, and SSD caching strategies.

Use AI to analyze prediction market events, generating probability assessments and trading strategy recommendations.

Describe your application requirements in natural language to automatically generate production-grade Dockerfiles, supporting multi-stage builds and security hardening.

Input a GitHub repository URL to generate a community health analysis dashboard design, including key metrics, visualization suggestions, and operational strategies.

Design a high-performance data processing pipeline using Rust, suitable for scenarios like PDF parsing, file classification, and ETL.

Design an enterprise-grade AI gateway architecture supporting multi-tenancy, guardrails, MCP registration, and intelligent routing.

Design an Agent framework that starts from minimal seed code and automatically expands its skill tree, achieving 6x token savings.

Input any content (text, image descriptions, video scripts) to automatically generate a multi-dimensional tag system, suitable for content management, recommendation systems, and SEO optimization.

A prompt template to help AI Agents automatically discover, evaluate, and learn new skills, intelligently recommending and generating skill extension plans based on current task requirements.

Automatically generate standard operating procedures (Runbooks) for incident response based on your system architecture and alert information, including diagnostic steps, fix commands, and escalation paths.

Design a self-evolving engine for AI Agents using Gene Expression Programming (GEP), including skill tree growth, fitness evaluation, and genetic mutation strategies.

Describe requirements in natural language; AI automatically generates editable professional PPTs, including layout, color scheme, animations, and content structure.

Design initial skill tree seed files for self-evolving agents, defining core capability nodes, evolution paths, and trigger conditions, allowing agents to autonomously grow a complete skill system from basic capabilities.

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.

Automatically generate a minimal viable skill tree seed file based on your Agent's purpose, including core skill definitions, trigger conditions, and evolution path planning.

Use the Gene Expression Programming paradigm to design autonomous evolution strategies for Agents, automatically discovering optimal tool calling sequences and decision paths through genetic algorithms.

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.