# Task Build a responsive card component with HTML/CSS/JS that has a hover shadow animation
# Instruction Please follow the above requirements and complete the task professionally, clearly, and concisely.
📋 Role templates
Click to fill
👨💻 Programmer
✍️ Copywriter
📚 Teacher
🌐 Translator
📊 Data analyst
⚖️ Legal advisor
🩺 Health advisor
🏆 Career coach
📖 AI Prompt Engineer: Make LLMs Understand You Better
Prompt engineering is the core skill for interacting with ChatGPT, Claude, Gemini, and other large language models. ng.cc's AI Prompt Engineer uses a structured Role-Task-Requirements-Instruction framework to help you generate clear, complete, and effective prompts. All processing happens locally in your browser – your prompt content never leaves your device.
🎯 Role definition
Assign a specific persona to the AI, dramatically improving the relevance and accuracy of responses. Studies show role-setting can boost answer quality by 40%.
📝 Task breakdown
Decompose complex requests into concrete tasks to avoid ambiguity. Multi-line input supported for detailed steps.
⚙️ Constraints
Add language, format, style, or exclusion rules to precisely control output and reduce trial‑and‑error.
🔒 Privacy first
100% client‑side, zero network requests. Your business needs, creative ideas, and sensitive data stay local.
🎯 Structured Prompting Methodology
❌ Low‑quality prompt: "Write quicksort" – AI may return pseudo‑code, C, Python, with/without comments – unpredictable.
✅ High‑quality prompt: "# Role Senior Python engineer # Task Implement quicksort in Python with detailed comments and complexity analysis # Requirements Input is a list, output sorted list" – stable, ready‑to‑use output.
💡 6 Ready‑to‑Use Prompt Templates
👨💻 Programmer mode: Specify language, framework, code style, test cases.
✍️ Copywriter mode: Set word count, tone, target audience, SEO keywords.
📊 Data analyst mode: Describe data format, analysis dimensions, visualization type.
⚖️ Legal advisor mode: Specify jurisdiction, case type, document format.
❓ Frequently Asked Questions
❓ Q1: What is prompt engineering?
Prompt engineering is the art of designing and optimizing input text to guide AI models toward desired outputs. It includes role setting, task decomposition, constraints, and few‑shot examples. Good prompts dramatically improve answer accuracy, relevance, and usability.
❓ Q2: Which AI models does this tool work with?
This tool uses a universal structured format compatible with ChatGPT (GPT-3.5/4), Claude (2/3), Gemini, Ernie, Tongyi Qianwen, Spark, Kimi and most mainstream LLMs. Some models prefer Markdown – you can add "Use Markdown format" in the requirements field.
❓ Q3: Why set a role for the AI?
Role‑setting is a classic contextual learning technique. Telling the AI "You are a senior Python engineer" activates that domain’s knowledge, leading to more professional terminology and better code style. OpenAI’s own documentation recommends role prompts.
❓ Q4: Is longer prompt always better?
No. Good prompts are precise, not verbose. Overly long prompts consume more tokens (cost) and may introduce noise. Our four‑section structure covers 90% of cases without extra fluff.
❓ Q5: Will my prompts be leaked?
Absolutely not. This is a static HTML page – all code runs in your browser. Open DevTools → Network tab and verify that clicking "Generate prompt" makes zero network requests. Your business ideas, product specs, and code snippets stay completely offline.
❓ Q6: Does it support few‑shot prompting?
This tool focuses on zero‑shot structured prompts for quick generation. For few‑shot (including input‑output examples), you can manually add examples in the "Task" or "Requirements" fields. We plan to add example templates in v2.0.
🔗 Recommended Tools
This tool is part of the ng.cc AI toolkit. You might also like: