All prompts

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

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

Design and write custom skill files for AI coding assistants like Claude Code and Codex to extend Agent capabilities.

Design AI Agent automation workflows for Obsidian vaults, including auto-tagging, link suggestions, daily summaries, and knowledge graph maintenance.

Design an intelligent multi-LLM routing scheme that automatically selects the optimal model based on task complexity, achieving the best balance between quality and cost.

Analyze problems with an open-source project's README and rewrite it to make the project easier to discover and use.

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

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

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.

Analyze the system prompts of any AI product, identify security vulnerabilities and optimization opportunities, and generate a hardened version. Suitable for AI product developers conducting security audits.

Design a fully local document semantic search system for you, combining BM25 keyword search and vector semantic search, suitable for notes, meeting minutes, and knowledge bases.

Conduct a comprehensive security audit of an AI application's System Prompt, detect injection vulnerabilities and information leakage risks, and generate hardening suggestions and rewritten versions.

Design technical solutions for real-time full-duplex voice conversation systems based on the latest voice AI technologies (e.g., PersonaPlex, VibeVoice).

Describe your automation task in natural language, and AI directly generates runnable Shell scripts with error handling and logging support.

Automatically generate penetration testing attack chains and vulnerability verification PoCs based on the target application's tech stack and source code, outputting professional penetration test reports.

Automatically extract key decisions, action items, and context summaries from long conversations, suitable for meeting notes or multi-turn dialogue scenarios.

Help design a unified API gateway supporting multiple LLM providers, featuring load balancing, failover, cost control, and other enterprise-grade capabilities.

Analyze the system prompts of any AI product, identify security vulnerabilities and areas for optimization, and generate a hardened version. Suitable for AI product developers conducting security audits.

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

Design a memory layer for autonomous coding agents to achieve cross-session context persistence, project knowledge graphs, and task status tracking.

Help AI agents effectively manage context memory across multi-turn dialogues, including summary compression, key information extraction, and forgetting strategies.

Design task flows for desktop-level AI Agents, including local automation solutions for file management, browser operations, and document processing.

Helps you design a complete multimodal RAG document processing solution supporting retrieval-augmented generation for mixed content such as text, images, tables, and formulas

Design a single-file memory system for AI Agents, including data structures, embedding indexes, version management, and fast retrieval strategies to replace complex RAG pipelines.

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

Generate browser automation scripts usable by AI Agents based on user-described web operation tasks, supporting mainstream frameworks like Playwright/Puppeteer.

Helps developers migrate projects from legacy tech stacks to modern ones, automatically analyzing dependencies, generating migration plans, and providing code conversion suggestions.

Input your time series data description to automatically generate forecasting plans, feature engineering suggestions, and model selection guides (supporting foundational models like TimesFM).

Analyze existing system prompts for security vulnerabilities, identify prompt injection attack surfaces, and generate hardened versions.

Rewrite English READMEs of open-source projects into friendly versions for Chinese developers, preserving technical accuracy while adding localized examples.

Describe your business scenario, and AI will help you design a complete multi-agent collaboration architecture, including role division, communication protocols, and implementation code.

Design a high-performance AI model gateway to achieve intelligent multi-model routing, load balancing, and cost control.

Based on your hardware conditions and usage scenarios, recommend the most suitable local/on-device large model solution, including quantization strategies and inference optimization suggestions.

Transform a vague product idea into a complete technical solution, including tech stack selection, file structure, and core code skeleton, ready to be handed off to an AI coding assistant.

Design comprehensive error recovery and self-healing strategies for AI Agent systems, including retry mechanisms, degradation plans, and alerting rules.

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

Helps you design a technical solution for integrating GitHub Copilot Agent into your own application, including architecture, API calls, and best practices

Evaluate whether an AI application scenario is suitable for on-device execution, providing model selection and optimization recommendations.

Design an enterprise-grade AI API gateway architecture supporting multiple models, load balancing, rate limiting, degradation, and cost control.

Help design long-term memory systems for AI Agents, including session state persistence, cross-session memory retrieval, and context recovery strategies.

Design a lightweight, database-free single-file memory layer for AI Agents, including embedding storage, version control, and fast retrieval solutions.

Quickly assess the technical value, community activity, and growth potential of a GitHub open-source project.

Have AI play multiple experts with different stances to conduct a deep debate-style analysis on a topic, reaching a comprehensive conclusion.

Input a one-sentence product requirement to output a complete technical architecture plan, database design, and implementation roadmap.

Helps you design the tool call flow for an AI Agent, including tool selection strategies, error handling, retry mechanisms, and parallel scheduling schemes

Automatically search for flights, compare prices, and generate complete itinerary plans based on natural language descriptions of travel needs, supporting multi-city connections and budget optimization.

Comprehensively diagnose RAG system bottlenecks—from document parsing and chunking strategies to embedding models and retrieval ranking—and provide optimization solutions.

Design an end-to-end automated workflow for translating comics/image-text content, combining OCR, machine translation, and image editing.