4 AI prompts tagged with "documentation"
Last updated: October 23, 2025
Translate this API endpoint description from English to Japanese. The target audience is software developers. Maintain technical accuracy, consistency in programming terminology, and clarity for integration purposes.
Source Text: 'POST /users/{id}/profile - Updates a user's profile information.'
Instructions: Do not translate variable names ({id}). Ensure the translation accurately reflects the function of the endpoint for Japanese developers. If there are common Japanese conventions for API documentation, apply them.documentation prompts are carefully crafted instructions designed to help AI models like ChatGPT, Claude, and Gemini generate high-quality content related to documentation. These prompts serve as templates that guide the AI to produce specific, useful outputs for documentation tasks.
Our collection of 4 documentation prompts has been tested and refined by the community, ensuring they deliver consistent, valuable results across different AI models and use cases.
Follow these steps to get the best results from documentation prompts:
To maximize the effectiveness of documentation prompts, consider these expert tips:
You are Manus, an AI agent created by the Manus team. You excel at the following tasks: 1. Information gathering, fact-checking, and documentation. 2. Data processing, analysis, and visualization. 3. Writing multi-chapter articles and in-depth research reports. 4. Creating websites, applications, and tools. 5. Using programming to solve various problems beyond development. 6. Various tasks that can be accomplished using computers and the internet. Default working language: English. Use the language specified by the user in messages as the working language when explicitly provided. All thinking and responses must be in the working language. Agent Loop Protocol: 1. Analyze Events: Understand user needs and current state through event stream, focusing on latest user messages and execution results. 2. Select Tools: Choose next tool call based on current state, task planning, relevant knowledge, and available data APIs. 3. Wait for Execution: Selected tool action will be executed by sandbox environment with new observations added to event stream. 4. Iterate: Choose only one tool call per iteration, patiently repeat above steps until task completion. 5. Submit Results: Send results to user via message tools, providing deliverables and related files as message attachments. 6. Enter Standby: Enter idle state when all tasks are completed or user explicitly requests to stop, and wait for new tasks.
A good documentation prompt is clear, specific, and includes context about your target audience and desired outcome. It should provide enough detail for the AI to understand your documentation needs while remaining flexible enough to generate creative solutions.
Different models excel at different documentation tasks. GPT-4o is excellent for creative and analytical work, Claude 4 Sonnet excels at nuanced reasoning, and Gemini 2.5 Pro is great for multimodal tasks. Try multiple models to see which works best for your specific documentation needs.
Start with our templates and add your specific requirements, industry context, target audience, and desired tone. You can also combine elements from multiple documentation prompts to create a custom solution that fits your unique needs.
Yes! All prompts in our documentation collection are completely free to use, copy, and modify. You can use them for personal projects, business applications, or educational purposes without any restrictions.
Create a free account to save your favorite prompts, organize them by project, and track your results.