All prompts

Helps analyze performance bottlenecks in Rust projects, generating flame graph interpretation reports and optimization suggestions.

Design initial skill seed files for self-evolving AI agents, including core capability definitions, learning strategies, and evolution path planning.

A system prompt designed to help users protect privacy when running LLMs locally, ensuring sensitive data is not leaked, suitable for enterprise and personal privacy scenarios.

Designs token-efficient context management strategies for AI coding agents, including code indexing, sub-agent delegation, and output filtering, to maximize coding efficiency.

Design context compression and token-saving strategies for AI coding agents to maximize code comprehension efficiency.

Based on Git commit history or PR lists, automatically generate version logs compliant with Keep a Changelog standards, along with social media release copy.

Design a complete LLM application observability solution covering three dimensions: Trace, Metrics, and Evals, supporting cost tracking and quality assessment

Converts natural language queries into financial data API calls, supporting real-time quotes, fundamental analysis, and technical indicator calculations.

Generate multiple README homepage scenarios for your open source project (title, tagline, badge, hero image description) and provide an evaluation framework to help you select the best version.

Describe your requirements in natural language, automatically generate multi-model routing rule configurations (supporting formats such as LiteLLM/Bifrost/Manifest), achieving the optimal balance between cost and quality.

Designing a secure code execution sandbox solution for AI Agents, covering interpreter selection, permission isolation, resource limiting, and snapshot recovery strategies

Automatically route tasks to the most suitable LLM based on complexity, achieving a smart gateway configuration that reduces costs by 70%.

Automatically analyze watchlist stocks using AI to generate a multi-dimensional decision dashboard covering technicals, fundamentals, and sentiment, supporting A-shares, HK stocks, and US stocks.

Helps you quickly evaluate and select the most suitable AI Agent memory infrastructure solution, comparing features, performance, and integration costs of mainstream options like Memori, mem0, and memsearch.

Convert natural language descriptions into parametric CAD modeling instructions, suitable for Text-to-CAD workflows, supporting the generation of 2D/3D geometry definitions.

Automatically estimate GPU VRAM, instance count, and inference costs based on model parameters, concurrency requirements, and latency targets, outputting a deployment plan.

Describe your business scenario, and AI will help you design a complete multi-agent workflow solution, including role division, tool invocation, and collaboration models

Enter project information, and AI automatically generates a professional GitHub README, including badges, installation guides, usage examples, and contribution guides

Generate a complete object detection plan from data annotation to model fine-tuning and deployment based on custom dataset requirements, supporting comparative selection of mainstream architectures like RF-DETR and YOLO.

Automatically generate model routing rules based on task complexity to find the optimal balance between quality and cost. Input your usage scenario to output actionable routing configurations.

We help you design AI Agent workflows for the financial sector, covering investment banking, research analysis, modeling, compliance review, and more.

Designed incremental data processing and persistent memory pipelines for long-cycle AI Agents, supporting efficient state recovery and contextual recall

Design zero-cost/low-cost motion capture solutions, using ordinary cameras to achieve full-body motion capture and drive virtual characters. Covers the complete process from hardware selection and software configuration to virtual avatar binding.

Designs a persistent memory system for coding agents, allowing AI assistants to maintain project context and learning outcomes across multiple sessions.