All prompts

Input model name and deployment environment to automatically generate a comparative evaluation of inference acceleration technologies, including quantization, distillation, and speculative decoding.

Describe your required API call workflow in natural language; the AI automatically generates orchestration code and error handling logic, supporting REST/GraphQL/gRPC protocols.

Analyzes the proportion, quality, and trends of AI-generated code in repositories to help teams quantify the actual impact of AI coding tools.

Input a natural language description to generate CAD modeling instructions, parametric design schemes, and 3D model structure descriptions, suitable for rapid prototyping and engineering modeling scenarios.

Compresses lengthy AI coding session histories into structured memory files and accurately restores context in new sessions, significantly reducing token consumption while preserving key decisions and code changes.

Designed isolated execution strategies for multi-agent parallel coding scenarios, including task allocation, branch management, conflict detection, and automatic merging schemes, suitable for autonomous coding platforms such as Symphony and OpenHands.

For visual AI or NLP datasets, systematically evaluate annotation quality, distribution bias, duplicate samples, and other issues, and generate actionable cleaning solutions

Based on the user's hardware configuration (GPU/CPU/memory), it automatically generates the optimal local LLM inference service deployment script, supporting llama.cpp, vLLM, Ollama solution selection and parameter optimization.

Design plugin/extension solutions for AI assistant platforms (OpenAI GPTs, Claude MCP, Gemini Extensions, etc.), and output complete interface definitions, authentication plans, and deployment plans.

Analyze the structure of system prompts from mainstream AI models, learn their design patterns, and help you write higher-quality system prompts.

Generate code change impact scope reports based on semantic analysis rather than text diffs, identifying potential risks and modules requiring regression testing.

Simulate the thinking styles of multiple investment masters to conduct multi-angle analysis of specified stocks and generate comprehensive investment advice.

Input the product name and core selling points to automatically generate launch copy suitable for both Twitter/X and Xiaohongshu, including hooks, feature highlights, CTAs, and tags.

Design fine-tuning and deployment schemes tailored to specific financial scenarios based on time series foundation models like TimesFM.

One-click generation of the complete technical architecture for voice AI applications, covering STT, TTS, VAD, dialogue management, and multi-channel integration.

Generate a complete performance benchmarking plan for an AI Agent's sandbox execution environment, including test cases and evaluation criteria for key metrics such as cold start latency, memory isolation, and concurrent execution.

Input exported chat history into the AI to automatically generate social relationship insights, topic trends, sentiment analysis, and annual review reports.

Have AI review your code against Rust performance best practices, covering key dimensions such as memory allocation, concurrency, and zero-copy patterns.

Design a unified skill package management strategy for AI coding assistants, enabling 'write once, sync everywhere' to tools like Claude Code, Cursor, and Codex.

Input a topic and style to automatically generate a complete short video script, including storyboard descriptions, dialogue, duration, and visual cues, suitable for Douyin/Xiaohongshu/YouTube Shorts.

Help developers compare and evaluate different AI code sandbox execution solutions (containers, microVMs, embedded interpreters) and output a structured selection report.

Analyzes token usage patterns of AI coding agents and generates optimized CLI proxy tool configurations (e.g., rtk) to achieve 60-90% token savings.

Given a GitHub repository URL, automatically analyze its tech stack, architectural patterns, core modules, and data flow to generate a structured technical architecture document.

Generate complete product design documentation for multimodal AI Agent desktop applications, covering core capabilities such as GUI operations, browser automation, and MCP tool integration.

Design a personal AI super assistant system architecture with long-term memory, multi-platform integration, and active perception capabilities

Design solutions for remotely managing AI encoding agents from mobile phones, including session synchronization, voice control, notification, and approval workflows

Help you generate high-quality synthetic training data from scratch, supporting custom domains, formats, and quality standards, suitable for fine-tuning and evaluation scenarios.

Design asynchronous task orchestration schemes for multi-step AI Agents, including retry, timeout, callback, and state machine design.

Design a full-stack observability solution for AI Agent applications, covering LLM call tracing, tool execution monitoring, cost analysis, and anomaly detection dashboards.

Help you evaluate and select the most suitable open-source speech synthesis/cloning solution, providing comprehensive comparative analysis across tech stacks, deployment costs, audio quality, and multilingual support.

Design an end-to-end financial data prediction and analysis solution based on the latest financial time series foundation models (such as Kronos).

Design multilingual speech synthesis and cloning solutions based on the latest open-source TTS technologies, covering voice design, emotion control, and streaming output.

Describe your AI Agent workflow to automatically generate Mermaid flowchart code, which can be directly pasted into documents for rendering.

Design a secure sandbox execution environment for AI Agents based on WebAssembly, including resource limits, permission models, and escape prevention.

Design an Agent memory system based on a temporal knowledge graph, supporting fact version tracking, incremental updates, and hybrid retrieval.

Input your Agent tool list and common error scenarios to automatically generate a complete error handling decision tree, including retry strategies, fallback plans, and user notification templates.

Input your agent's tool list and common error scenarios to automatically generate a comprehensive error-handling decision tree, including retry strategies, fallback plans, and user notification templates.

Describe your document types and scale to generate a complete local semantic search system deployment plan, including embedding model selection, vector database configuration, and search API code.

Manage your AI coding agents as true team members—assign tasks, track progress, and accumulate skills.

Build a financial time series analysis framework using AI, combining foundation models for market trend prediction and risk assessment.

Input project requirements to automatically generate a multi-agent collaboration task board, including task assignment, dependencies, and priority sorting.

Helps convert various documents (PDF, Word, Excel, etc.) into structured Markdown, performing intelligent cleaning and summary extraction to prepare data for RAG knowledge bases and LLM analysis.

Have the AI act as a quantitative trading analyst, fusing multiple data sources (news, social media, K-lines, on-chain data) to generate structured trading signals, including entry points, stop-loss/take-profit levels, and confidence scores.

Use AI to automatically analyze scattered notes in an Obsidian vault, generating reasonable bi-directional links, tag systems, and MOCs (Maps of Content), transforming the knowledge base from a pile of information into a network of knowledge.

Generate a robust task execution plan for a browser automation AI Agent, including element location strategies, wait conditions, error recovery mechanisms, and human-in-the-loop breakpoint designs.

Analyze whether text or images contain AI-generated watermarks (such as SynthID) and provide a detection report with confidence assessment.

Design memory compression strategies for AI coding agents to automatically capture key decisions and context, restoring continuity in new sessions.

Describe your desired 3D scene in natural language, and AI will generate a detailed scene specification document usable in Blender, Unity, or other 3D tools.