All prompts

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

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

Generate a comprehensive performance optimization checklist for deploying AI models on edge/on-device scenarios, covering model compression, inference acceleration, and resource management.

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

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.

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.

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

Quickly evaluates the value, tech stack, and applicable scenarios of trending open-source projects on GitHub.

Input your RAG system configuration and sample queries to automatically generate a retrieval quality assessment report, including recall analysis, chunking strategy suggestions, and reranking optimization plans.

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.

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

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

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

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.

Design a systematic multi-LLM model comparison testing plan to quantitatively evaluate the performance of different models on specific tasks.

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

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

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

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

Quickly evaluate the technical value, maturity, and suitable scenarios of a GitHub open-source project

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

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.

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.

Compare terminal AI coding tools like Claude Code, Codex CLI, Qwen-Code, etc., to help you choose the most suitable option

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

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

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.

Generates a complete model optimization and deployment guide for your mobile/edge device AI deployment scenarios, including quantization, pruning, and inference acceleration

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

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.

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

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

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

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

Evaluate different AI Agent sandbox execution environments (Flue, E2B, Modal, Firecracker, etc.), output selection comparison matrices, and production-level security configuration schemes.

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

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

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.

Systematically diagnose performance bottlenecks, error loops, and token waste in AI Agent workflows, outputting executable optimization plans.

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.

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

Designs fingerprint isolation solutions for multiple browser profiles, covering best practices for proxies, cookies, extensions, and identity management.

Automatically design multi-step agent workflows based on natural language descriptions, including node connections, error handling, and debugging suggestions.

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

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

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.

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