All prompts

Generate standardized code review workflows for multi-agent coding teams, including role division, review rules, and quality access controls

Design a structured output validation pipeline for LLM applications that automatically detects format errors and triggers retry repair strategies, supporting validation schemes such as JSON Schema and Pydantic.

Paste a piece of code, and the AI will analyze its performance bottlenecks and provide specific optimization plans, including time complexity, memory usage, and concurrency optimization suggestions.

Designs multi-agent collaboration workflows based on Kanban views, supporting requirement breakdown, task assignment, progress tracking, and automated orchestration, suitable for Spec-driven AI development teams.

An issue management prompt designed for open-source project maintainers, automatically analyzing issue content to generate professional responses, classification labels, and priority suggestions.

Input Rust CLI project information to automatically generate a complete Homebrew Formula file, GitHub Actions release workflow, and tap repository structure, supporting cross-platform compilation.

Enter a topic and batch generate hooked copy for platforms like Douyin, Xiaohongshu, and YouTube Shorts, including tips for optimizing completion rates.

Quickly organize user interview records into structured insight reports, extracting key pain points, unmet needs, and behavioral patterns

Design a complete conversational flow for the WhatsApp AI customer service bot, including intent recognition, multi-turn conversation status management, human-machine collaboration upgrade strategies, and multilingual support solutions.

Design a locally deployed multi-model collaborative inference solution supporting models such as large and small model cascading, routing distribution, and result fusion, maximizing inference efficiency and quality balance

Generate complete cost monitoring dashboard configurations and budget alerting rules for AI Agent systems, covering token usage, API calls, and model routing cost tracking.

Enable AI Agents to collect information from the entire web, searching and reading content from platforms like Twitter, Reddit, YouTube, GitHub, Bilibili, and Xiaohongshu, then generating structured analysis reports.

Design a high-performance inference service deployment solution for local GGUF/SafeTensors models with zero Python dependencies, including model discovery, hot-swapping, and OpenAI-compatible API configuration.

Input a theme and mood to generate lyrics and style tag descriptions suitable for AI music generation tools (such as ACE-Step, Suno).

Automatically generates content variants, publishing schedules, and engagement strategies adapted for platforms like Xiaohongshu, Twitter/X, LinkedIn, and WeChat Official Accounts based on a core content theme.

Enter the target username to systematically analyze their registration status on mainstream platforms, personal information links, activity timelines, and social network graphs to generate structured intelligence reports.

Analyze your terminal usage habits and configuration, diagnose efficiency bottlenecks, and generate customized terminal environment optimization plans (shell configuration, shortcuts, plugin recommendations, theme beautification).

Design a complete new user onboarding process for AI/SaaS products, including step-by-step breakdown, onboarding copy, empty state design, and activation metrics

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.

Based on the target company, position, and interview round, it generates high-quality interview rhetorical questions to help candidates demonstrate deep thinking and genuine interest during the rhetorical process

Enter the technology areas and sources you are focusing on this week, and it will automatically generate weekly technology trend updates in the style of ThoughtWorks Technology Radar, including adoption/trial/evaluation/deferral categories

We help you design a complete automated electronic signature process—from contract template generation, signing order arrangement to signing reminders and archiving strategies. Suitable for teams that need to process contracts in bulk.

The best solution is recommended from dozens of free LLM API services based on requirements, along with examples of integrated code.

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

Design a local knowledge base management solution based on Markdown files, combined with AI to achieve intelligent retrieval, automatic tagging, bidirectional link recommendations, and knowledge graph visualization

Based on project type and team specifications, automatically generates adaptive workflow lifecycle rule files adapted to AI coding agents (Claude Code, Codex, Cursor, etc.), including behavioral constraints for planning, implementation, testing, and review.

Evaluate whether a device is suitable for running local large models and generate a complete deployment plan including performance estimates and optimization suggestions.

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

Design a knowledge graph-driven intelligent Q&A system based on the GraphRAG architecture, supporting multi-hop reasoning and entity-relation extraction.

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

Input a product name and a list of competitors to automatically generate a structured SWOT analysis report, featuring in-depth comparisons across strengths, weaknesses, opportunities, and threats.

Input a core message to instantly generate different styles of copy adapted for platforms like Xiaohongshu, Twitter, LinkedIn, and WeChat Official Accounts.

Upload suspicious file descriptions or characteristics; AI analyzes the true file type, detects spoofing, assesses potential security risks, and provides disposal recommendations.

Design a complete workflow for task assignment, skill reuse, and progress tracking for AI coding agent teams, suitable for team-level agent management scenarios.

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

Generates a weekly multi-platform content calendar including titles, copy, and optimal posting times based on topics and target audiences.

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

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

Use AI to analyze prediction market events, generating probability assessments and trading strategy recommendations.

Help you design, develop, and debug Claude Code plugins, including complete project structures and best practices.

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

Design an Agent framework that starts from minimal seed code and automatically expands its skill tree, achieving 6x token savings.

Design a foundation model fine-tuning plan for financial time-series data, including data preprocessing, training strategies, and backtesting frameworks.

Generate a complete automated PR review process for open-source projects, including code quality checks, security scanning, test coverage requirements, and auto-merge strategy configuration.

Design a complete canary release strategy for LLM applications, including model version switching, traffic allocation strategies, rollback mechanisms, and effect evaluation metric systems.

A prompt template to help AI Agents automatically discover, evaluate, and learn new skills, intelligently recommending and generating skill extension plans based on current task requirements.

Describe the 3D scene you want in natural language, and the AI will help you generate detailed scene descriptions and parameter configurations usable for generative 3D models.

Describe your application interface and user flows; AI generates end-to-end automated test scripts based on visual recognition, without relying on DOM selectors.