All prompts

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 a management platform that organizes coding Agents into teams, enabling automatic task allocation, progress tracking, and skill sharing.

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.

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.

Input model service architecture information to automatically generate a gray release operation manual, including canary deployment, traffic switching, rollback strategies, and monitoring alerts.

Configure Speculative Decoding for your LLM inference service to achieve 2-5x inference acceleration via methods like Block Diffusion, including model selection, parameter tuning, and performance benchmarking.

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.

Input a topic to automatically generate a 5-10 minute two-host podcast script, including intro, core discussion, audience interaction segment, and outro, suitable for direct audio generation via TTS tools.

Input GitHub repository information to automatically generate production-grade docker-compose.yml, Dockerfile, .env templates, and health check configurations, supporting GPU passthrough and reverse proxies.

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 compare and evaluate multiple AI coding agents (Claude Code, Cursor, Maki, Codex, etc.) on token efficiency, response speed, and code quality in real coding tasks, generating a structured evaluation report.

Helps developers design inference solutions based on recursive language models to handle extremely long contextual tasks

Input the product name and core features to automatically generate complete SaaS Landing Page copy, including Hero section, feature highlights, pricing comparison, FAQ, and CTA, with support for bilingual output.

Based on your work records, Git commits, meeting notes, and other raw materials, automatically generate structured daily or weekly reports, supporting custom templates and tone styles.

One-click generation of issue templates, label classification systems, and contributor guides for open source projects

Generate a complete user story map, including epics, stories, and acceptance criteria, starting from product requirements or a one-sentence description

Helps you analyze prediction market data, identify arbitrage opportunities, and detect sentiment trends

Simulates real-world online incident scenarios to train your troubleshooting and emergency response capabilities

Converts original speech recognition text into clearly structured, highly readable professional documents, automatically adding punctuation, paragraphs, titles, and summaries

Designing a full-chain observability solution for LLM applications, including Trace tracking, metric monitoring, Prompt version management, evaluation experiments, and cost analysis

Quickly build a Model Context Protocol server using the FastMCP framework, including a complete development guide for tool definition, resource management, authentication configuration, and deployment strategies.

Design a secure Python code execution sandbox solution for AI Agents, based on a minimal Python interpreter implemented in Rust to prevent malicious code escape.

Generates automated fault diagnosis and self-healing runbooks for AI Agent workloads in K8s clusters, covering common scenarios such as Pod anomalies, OOM, and GPU scheduling failures.

Designs secure code execution sandbox environment plans for AI Agents, supporting complete technical solution outputs for multi-language runtime isolation, resource limits, network policies, and other security constraints.

Designs automatic session compression and context injection plugins for coding agents, referencing the architecture of claude-mem to achieve cross-session memory persistence.

Designs a multi-platform public opinion aggregation monitoring system supporting RSS+API data sources, AI intelligent filtering, and multi-channel push notifications, suitable for individuals and teams.

Enter a theme and automatically generate Douyin and Xiaohongshu short video scripts with storyboards, dialogue, and images

Generates a detailed token consumption optimization plan for your AI Agent application, covering context compression, caching strategies, model routing, and more.

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

Design a comprehensive multi-platform public opinion monitoring system that aggregates hotspots from Weibo, Xiaohongshu, Twitter, etc., with AI-driven analysis and briefing push notifications.

Analyze the README and source code structure of open-source projects to automatically generate missing API documentation, usage examples, installation guides, and other technical documents.

Intelligently reduce noise, deduplicate, and correlate massive operations alerts to generate root cause analysis reports and remediation suggestions.

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

Input the title or abstract of an AI/ML paper to automatically generate a structured quick-read report containing core contributions, methodological innovations, experimental results, and limitation analysis.

Analyze token consumption patterns in your AI Agent workflow, generate intelligent routing rules, and automatically assign simple tasks to smaller models and complex tasks to larger models, reducing API costs by 60-90%.

Design an AI Agent workflow that can automatically read ML papers, extract key implementation details, and generate runnable reproduction code and experiment configurations.

Generates personal identifiable information (PII) detection rules, masking strategies, and compliance reports based on frameworks like Microsoft Presidio.

A complete workflow prompt for using AI to read papers, reproduce experiments, and train models, suitable for researchers and ML engineers.

Use AI to quickly identify the true file type to prevent malicious files from disguising themselves, suitable for security reviews and data pipeline preprocessing scenarios.

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

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.

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.

Simulates business negotiation scenarios between two AI Agents to help understand automated business agreements and multi-party game strategies