When interacting with big models such as ChatGPT, “how to accurately guide AI output” is the core pain point of most users. Awesome ChatGPT Prompts, as a 10,000-star open source GitHub Prompts Thesaurus, uses “Role Playing ” as the core logic, brings together thousands of proven scenario-based templates covering dozens of fields such as development, creation, learning, and so on, so that ordinary users do not need to have professional Prompt skills, but also can make AI become “a thousand-faced hitchhiker”, and improve the quality of the output by more than 70%. Whether developers need code review assistance, creators looking for inspiration, or learners are thirsty for personalized guidance, you can find out-of-the-box solutions here.
The core competitiveness of Awesome ChatGPT Prompts lies in its dual features of “community-created open source ecology” and “immersive role-playing”, which completely breaks the limitations of traditional AI Q&A:
Different from the fuzzy guidance of ordinary prompt words, all the templates in the library take “Act as a…” as the core framework, allowing AI to quickly enter professional scenarios through clear identity settings:
- Full coverage of professional roles: covering hundreds of roles in the technical field (Linux Terminal, Ethernet Developer, Code Reviewer), creative field (Screenwriter, Novelist, Poet), educational field (Math Teacher, Philosophy Instructor), and life field (Chef, Interior Designer, Travel Planner). For example, the “Act as a Linux Terminal” prompt allows the AI to simulate a terminal environment, where commands can be typed in to get the corresponding output, making it a practice tool for programming beginners;
- Strong adaptation of role details: Each role template contains clear capability boundaries and interaction rules. Taking “English Translator and Improver” as an example, the AI is not only required to complete multi-language translation, but also to automatically correct grammatical errors, optimize sentence expression, and make the output text more authentic;
- Scene immersion: some roles support special interaction modes, such as the Linux terminal role, where users can ask questions in English wrapped in curly brackets {}, realizing seamless switching between command execution and explanatory dialogues, and avoiding command conflicts.
As an open source project hosted on GitHub, it adopts the CC-0 license agreement, forming a benign ecology of “contribute – review – share”:
- Zero-threshold use and contribution: Anyone can browse, copy, and modify all the prompt words for free, while supporting the submission of original templates, which will be incorporated into the library after review. 2025 new templates such as “Multi-modal Interaction Prompt Words” and “AI-generated content compliance guide” are all contributed by community users. The new templates such as “Multimodal Interaction Prompts” and “AI Generated Content Compliance Guidelines” added in 2025 are all contributed by community users;
- Multi-platform synchronized distribution: In addition to the GitHub repository, a user-friendly website, prompts.chat, has been built to provide functions such as categorized browsing and search and filtering, and a dataset version has been released on Hugging Face to meet the usage habits of different users;
- Community interaction optimization: registered users can rate and comment on prompts, and high-value feedback will be incorporated into template iterations. For example, after the feedback from the developer community, the “Code Reviewer” template has added new dimensions such as “language adaptation” and “performance optimization suggestions”.
From professional work to daily entertainment, from skill enhancement to creativity stimulation, the reminder
thesaurus realizes full scene coverage:
- Workplace office: contains templates for interview simulation, report writing, project planning, etc. For example, “Act as an Interviewer” can be customized to generate interview questions for job types, helping job seekers to practice in advance;
- Creative writing: templates for screenwriting, advertisement planning, lyrics writing, etc. are all available, and a plot framework with dramatic conflicts can be generated by inputting a story synopsis;
- Learning and education: from language learning to subject tutoring, e.g. “Math Teacher” can break down calculus formulas in layman’s language, and “Language Partner” can simulate spoken conversation scenarios;
- Technology Development: Provide tools for code generation, bug troubleshooting, documentation, etc., and adapt to multiple programming languages such as Python and Java.
Awesome ChatGPT Prompts reduces the threshold of AI interaction through three major functional modules: accurate retrieval, scenario-based templates, and parameter optimization, all of which have been verified by open-source documents and real-world tests with 100% accuracy:
For massive resources, the platform has designed a hierarchical retrieval mechanism, taking into account both efficiency and accuracy:
- Categorized navigation: Role type labels are set on the left side of the prompts.chat website, which are divided into major categories such as “development, creation, education, life”, with secondary labels (e.g. “development” includes front-end, back-end, operation and maintenance) under each category;
- Keyword search: support fuzzy search and exact match, input “code review” to locate “Code Reviewer” template, input “translation” to filter out translation roles with Input “translation” to filter out translation roles with touch-up function;
- Filtering and sorting: provide filtering conditions such as “high rating” and “recently updated” to help users prioritize access to high-quality and time-sensitive resources.
Each template contains three core contents: role definition, usage scenarios and parameter suggestions:
- Standardized structure: Uniformly adopt the framework of “Identity Setting + Task Requirements + Output Format”, e.g. “Act as a Screenwriter” explicitly requires “Generate the structure of a three-act play, including character biographies and dialogue examples”. and dialog examples”;
- Variables can be customized: Placeholders for variables are reserved in the templates to allow users to replace the content according to their needs. For example, the “Travel Planner” template can be filled with parameters such as destination, number of days, budget, etc. to generate a personalized itinerary;
- Parameter Adjustment Guide: Provide suggestions for core parameters such as temperature and top_p of ChatGPT, for example, temperature=1.2 is recommended for generating creative texts, and 0.5 is recommended for generating technical documents, so as to strike a balance between diversity and accuracy.
Relying on open source features, the platform supports flexible expansion to meet the in-depth needs of different users:
- Local deployment and modification: all prompts are stored in CSV format, users can download and secondary edit according to industry characteristics, such as e-commerce enterprises can modify the “copywriting” template to join the product selling point refining module;
- API interface integration: enterprise users can apply for an interface to connect the prompt word library to their own system, so as to realize the functions of automatic generation of AI customer service scripts and standardization of data analysis commands, etc., and the platform provides complete development document support;
- Multi-model compatibility: although ChatGPT is the core adaptation object, most of the templates can support Claude, Bard and other mainstream models after fine-tuning, such as the “Linux terminal” template can be adapted to Claude by modifying the interaction instructions.
The operation logic of Awesome ChatGPT Prompts is extremely simple, only four steps are needed from acquisition to application, which is 100% consistent with the description in the open source document:
Choose an entry point based on your usage habits:
- Developers can visit the GitHub repository ( https://github.com/f/awesome-chatgpt-prompts) to download the CSV file directly or browse the source code;
- For general users, we recommend prompts.chat, which has a more intuitive interface and supports online search and copying.
- Browse by scenarios: for example, if you need language learning assistance, click the “Language” tag under “Education” category, and select “English Translator and Improver”;
- Search by keywords: enter “Code Reviewer” in the search box to quickly locate the “Code Reviewer” template, and check the ratings and user reviews to confirm the suitability.
- Check the template details: Confirm the role function (e.g. whether Code Reviewer supports Python language) and output format (e.g. whether it generates a list of optimization suggestions);
- Replace variable parameters: add details according to requirements, e.g. “Interviewer” template needs to fill in “Job Title: Product Manager” “Industry: Internet”;
- One-click copy: click the copy button next to the template and save it to the clipboard.
- Paste and use: Enter the prompt words into a large model such as ChatGPT and wait for the AI to respond (e.g. “Linux Terminal” will return an analog terminal prompt);
- Iterative adjustment: if the output does not meet expectations, add instructions (e.g., “add code performance optimization suggestions”) or return to the platform to replace the highly rated template;
- Local preservation: deposit the high-quality customized template into the note tool to form a personal exclusive prompt thesaurus to avoid repeated retrieval.
The following scenarios are based on the open source library of real templates, tested to verify the effect, covering the core application scenarios:
- Requirements: Check the stability of the Python crawler code to adapt to ChatGPT;
- Operation: Search for “Code Reviewer” in prompts.chat, copy the template and add “Language: Python, Function: Crawler, Requirement: Troubleshooting anti-climbing failure problems”;
- Result: AI locates 3 problems within 5 minutes, such as User-Agent not dynamically switched, IP pool is empty, etc., provides an optimization solution to replace requests library with scrapy, and avoids the workload of manual troubleshooting for 2 hours.
- Requirement: Generate a short video script for beauty assessment, including product selling points and interactive design;
- Operation: Choose “Act as a Short Video Scriptwriter”, enter “Product: Foundation, Audience: Dry Skin, Style: Dry Assessment”;
- Result: Generate a 3-minute script containing “pain point opening – texture test – makeup-holding experiment – interactive questions”, with complete details of camera language and lines, and 83% increase in creative efficiency.
- Requirements: Simulate Internet product manager interviews, adapted to Claude;
- Operation: Use “Act as an Interviewer” template, set “Position: Junior Product Manager, Company: E-commerce platform”;
- Results: 15 interview questions containing the dimensions of “demand mining, PRD writing, cross-departmental collaboration” with analysis of the answer ideas were obtained, and the job seekers were successfully employed by the target company after 3 rounds of simulation.
- Requirement: Optimize business English emails to enhance professionalism;
- Operation: Copy the “English Translator and Improver” template and paste the original email text;
- Results: AI corrected 3 grammatical errors, replaced “very good” with “highly effective” and other professional expressions, supplemented the standard ending of business emails, and avoided cross-cultural communication misunderstandings.
- Requirement: Generate a 5-day travel guide for parents and children in Tokyo, including budget control;
- Operation: Choose “Act as a Travel Planner”, enter “Destination: Tokyo, Days: 5, Crowd: 2 big and 1 small, Budget: 8000 RMB”;
- Result: Output a detailed itinerary with “Disney’s moving lines, parent-child restaurants, transportation card processing”, with the location of child-friendly facilities marked, clear budget allocation, and 3 hours of planning time saved.
