All prompts

Converts Git diffs or code changes into clear natural language explanations, helping reviewers quickly understand intent and scope.

Automatically generates optimal scraping strategies based on target website characteristics, including anti-detection solutions, data parsing rules, and error recovery mechanisms, suitable for frameworks like Scrapling/Playwright/Puppeteer.

Uses LLM multi-agents for automated quantitative factor mining: a complete workflow design prompt covering data cleaning, factor construction, IC analysis, and strategy backtesting, adaptable to platforms like Qlib/RD-Agent.

Before committing code, let AI analyze the modules, dependency chains, and potential risk points affected by the changes to avoid deployment incidents.

Design a multi-agent self-learning collaboration system based on the Swarm architecture, including task routing, agent communication protocols, memory sharing, and self-evolution mechanisms

Like OpenAI Symphony, project work is transformed into independent, autonomous tasks, allowing teams to manage work rather than supervise AI. Suitable for engineering teams that need multi-agent parallel development and automated CI/PR processes.

Guides you step-by-step through your first open-source contribution, from finding a project to submitting a PR.

Generate fine-tuning plans for financial time-series foundation models, including data preparation, training strategies, and evaluation metrics.

Transform vague feature requirements into precise technical specification documents, optimized for direct execution by AI coding assistants.

Design an AI Agent system capable of autonomous learning and skill accumulation, allowing the Agent to automatically build a skill library through task execution.

A complete workflow prompt for fine-tuning financial time series foundation models, feature engineering, and generating trading strategies.

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

Simulate structured discussions among multiple expert Agent roles, analyzing issues from diverse perspectives to generate consensus solutions.

Design an AI Agent self-evolution framework based on Gene Expression Programming (GEP), allowing the Agent to autonomously grow its skill tree.

Analyze your prompt templates to identify logic flaws, ambiguous expressions, and token waste, then output an optimized version.

Deeply compare the performance, ecosystem, and applicable scenarios of Rust async runtimes like Tokio, async-std, and smol, outputting a selection report.

Input multiple competitor names to automatically generate a detailed feature comparison matrix table, including pricing, core features, tech stack, and pros/cons analysis.

Automatically generate production-grade Docker Compose deployment files based on the open-source project's tech stack and dependencies, including environment variables, persistence, and health checks.

Input a one-sentence description of the MCP Server functionality you want, and automatically generate a complete design document, including tool definitions, resource schemas, transport protocol selection, and implementation code framework.

Translate English READMEs into Chinese (or reverse), retain the original format, badges, and links, and automatically adapt to localized expression habits to generate complete files that can be directly submitted for PR.

Input a project requirement description to automatically generate a complete GitHub Actions workflow YAML file, supporting the entire process of testing, building, and deploying.

A complete self-evolution loop prompt that enables AI Agents to autonomously discover new skill needs, generate skill code, and validate effects.

Input image/video/document descriptions to automatically generate multi-dimensional structured tags, summaries, and knowledge graph nodes.

Input business scenarios or tech stacks to automatically generate Wardley Map strategic analysis, identifying component evolution stages, strategic opportunities, and risk points.

Design a cost monitoring dashboard for multi-LLM model API calls, including token usage tracking, cost alerts, and optimization suggestions.

Generate a selection comparison matrix and migration suggestions for multi-agent collaboration platforms based on team size, task type, and tech stack.

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.

A complete technical solution generator for camera-free human pose estimation and presence detection using WiFi signals.

Input a GitHub repository URL to automatically generate production-grade Docker Compose deployment configurations including environment variables, persistent storage, and health checks.

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.

Input your AI product information to generate a comprehensive pricing strategy analysis report, including competitor comparison, user segmentation, and revenue forecasting.

Input the project's dependency list or package.json/requirements.txt content to automatically analyze the open-source licenses of all dependencies, generating a compliance risk report and remediation suggestions.

Convert articles, papers, or video transcripts on any topic into natural, fluent two-person podcast dialogue scripts, suitable for NotebookLM-style audio content creation.

Automatically generate standardized Pull Request descriptions based on git diffs, including change summaries, impact scope, and testing suggestions.

Simulates real-world online incident scenarios to train your troubleshooting and emergency response capabilities

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

Quickly build a Model Context Protocol server using the FastMCP framework, including a complete development guide for tool definition, resource management, authentication configuration, and deployment strategies.

Automatically generate structured daily tech/AI news digests from hot topics across multiple platforms, including summaries, categories, and importance ratings.

Designs automatic session compression and context injection plugins for coding agents, referencing the architecture of claude-mem to achieve cross-session memory persistence.

Based on Gene Expression Programming (GEP) concepts, generates minimal runnable skill tree seed files for self-evolving Agents, allowing them to autonomously evolve from the seed.

Analyze your AI coding agent workflow, identify token waste points, and provide specific optimization suggestions to help you save 60-90% of API costs

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

Analyze your AI Agent tool call chain, identify token waste points, generate specific optimization suggestions, and estimate savings.

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.

Quickly rewrite the README bilingual version in Chinese and English, optimizing the structure and enhancing international influence

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.

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