Repositories
32
Net stars gained, last 7 days
+9,637
Top-level Tag
Net stars gained each day, last 90 days
Peak days
- 1
Sep 22, 2026 +1,596 net stars (median day +742)
- LearnPrompt/awesome-seedance+856 (54%)
- elder-plinius/CL4R1T4S+247 (15%)
- f/prompts.chat+129 (8%)
- 2
Oct 19, 2026 +1,806 net stars (median day +742)
- lemomo-ai/lemo-opuscar+690 (38%)
- f/prompts.chat+148 (8%)
- soumatheusgomes/vibe-coding-toolkit+112 (6%)
- 3
Oct 21, 2026 +1,600 net stars (median day +742)
- lemomo-ai/lemo-opuscar+518 (32%)
- Alejandros17487/ai-jailbreaks+206 (13%)
Published v1.0.0 on Oct 21, 2026 · Created on Oct 21, 2026
- f/prompts.chat+120 (8%)
- 4
Oct 22, 2026 +2,048 net stars (median day +742)
- lemomo-ai/lemo-opuscar+776 (38%)
- f/prompts.chat+246 (12%)
- 7API/glm-5.3-abliterated+155 (8%)
Published v1.0.0 on Oct 22, 2026 · Created on Oct 22, 2026
- 5
Oct 29, 2026 +1,668 net stars (median day +742)
- elder-plinius/L1B3RT4S+482 (29%)
- lemomo-ai/lemo-opuscar+321 (19%)
- f/prompts.chat+142 (9%)
A peak day has at least 2 times the net stars of the median day of this chart, and at least 100 more. For each peak day, the list shows the repositories that gained the most net stars that day. It also shows their GitHub releases of that day or the day before (UTC), and their creation date when it was 14 days or less before. These events occurred near the same day. They do not show why the stars came.
Largest
Most stars in total now.
- f/prompts.chat176K
readme:
A curated collection of **prompts** for AI chat models.
description:
System Prompts, Internal Tools & AI Models
readme:
The full verbatim system prompts behind the most popular chatbots in the world.
readme:
直接复制粘贴使用
readme:
Full extracted system prompts, guidelines, and tools from OpenAI, Google, Anthropic, xAI, Perplexity, Cursor, Windsurf, Devin, Manus, Replit, and more
description:
a crowdsourced set of AI prompts that can be used anywhere
readme:
Prompt 模板库**：翻译、润色、分析等场景的实战 prompt
readme:
This repo collects leaked prompts of GPTs.
description:
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
readme:
我们收集了Nano-banana/Nano-banana-pro在各个任务场景下生成的令人惊艳的图片和提示词
Newest Admissions
Entered the index by the rising rule, newest first.
readme:
This is a curated collection of prompts, techniques, and methodologies.
description:
341 种代码动画风格提示词、193 张参考静帧与离线挑选器
readme:
35 paste-ready prompt files bundled in jailbreaks/, organized by model family
readme:
35 paste-ready prompt files bundled in jailbreaks/, organized by model family
description:
Bot人格提示词示例
readme:
Pick a fruit. Download its raw file, give it to your agent, and say:
description:
35 paste-ready AI jailbreak prompts for 25+ frontier and open-weight models - system prompts, AGENTS.md specs, and Ollama Modelfiles.
readme:
These are the same paste-ready prompt files as the AI Jailbreaks repository — every prompt is kept intact.
readme:
这里有我实际用过的 Prompt、踩过的坑、模型体感
readme:
Each name comes with a moving sample, a one-line meaning and an example of how to ask for it.
How a repository gets this Tag
An agent read the description, the GitHub topics, and the start of the README of each repository, and chose Tags only from the checked-in Tag list. For each Tag it quoted the text, and a code check kept the Tag only when the quote is in that text. The quote under each repository is that evidence. A Tag does not rank repositories and does not say that one can replace another. A wrong Tag? Use "Report a problem with this page" on the page of the repository. Withheld Repositories are left out of all numbers on this page.