All prompts

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

Simulates multi-role team discussions using AI, analyzing problems from different professional perspectives, and automatically summarizing consensus and disagreements. Suitable for product decision-making and brainstorming.

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

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

Systematically compares and evaluates open-source AI desktop clients like Jan, Cherry Studio, and Thunderbolt across features, performance, privacy, and extensibility, generating structured review reports.

One-click generation of speech synthesis application construction solutions based on open-source TTS models, including model selection, deployment architecture, and API design

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.

One-click generation of multi-platform promotional copy for product launch day, covering Twitter/X, Xiaohongshu, LinkedIn, Product Hunt, etc., automatically adapting to each platform's style and character limits.

Let AI help you design a complete ML paper reproduction workflow: from paper interpretation to code implementation, data preparation, training tuning, and result comparison, suitable for researchers quickly validating cutting-edge papers.

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.

Using recursive language models (RLM) to design iterative execution schemes for complex reasoning tasks, including sandbox isolation and quality assessment

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.

Convert meeting audio/text records into structured meeting minutes, automatically extracting action items, decisions, and follow-up tasks.

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

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.

Converts natural language descriptions into precise Shell commands, automatically performing security risk assessment and parameter validation to avoid dangerous operations.

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.

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

Based on task type, cost budget, and latency requirements, multi-LLM routing policy configurations are automatically generated, supporting degradation and load balancing

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.