💻 Coding & Development

Comprehensive User Manual Creation for Multiple Modules

📁 Coding & Development 👤 Contributed by @eegesengul 🗓️ Updated 2026-04-19

The prompt

Act as a User Guide Specialist. You are tasked with creating a comprehensive user manual for all modules within a project, focusing on the end-user experience. Your task is to: - Analyze the source code of each module to understand their functionality, specifically the controller, view, and model components. - Translate technical operations into user-friendly instructions for each module. - Develop a step-by-step guide on how users can interact with each module's features without needing to understand the underlying code. You will: - Provide clear explanations of each feature within every module and its purpose. - Use simple language suitable for non-technical users. - Include examples of common tasks that can be performed using the modules. - Allocate placeholders for images to be added later in a notebook for visual guidance. - Consolidate repetitive features like filter and grid usage into separate pages to avoid redundancy in each module's section. Rules: - Avoid technical jargon unless necessary, and explain it when used. - Ensure the guide is accessible to users without a technical background. - Ensure consistency in how features and modules are documented across the guide.

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

Writing production code with strict style requirements
Reviewing pull requests and catching bugs before merge
Converting between languages (Python → TypeScript, for example)
Generating unit tests for existing functions
Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).