{"data":{"slug":"yaojingang-yao-open-prompts","name":"yao-open-prompts","tagline":"Yao Open Prompts","github_url":"https://github.com/yaojingang/yao-open-prompts","owner":"yaojingang","repo":"yao-open-prompts","owner_avatar_url":"https://avatars.githubusercontent.com/u/266242792?v=4","primary_language":"Python","stars":2672,"forks":436,"topics":["ai","chinese-prompts","geo","prompt-engineering","prompts"],"archived":false,"github_pushed_at":"2026-06-27T08:32:08+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/yaojingang-yao-open-prompts","markdown_url":"https://www.graphcanon.com/tools/yaojingang-yao-open-prompts.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/yaojingang-yao-open-prompts","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=yaojingang-yao-open-prompts","description":"Yao Open Prompts: A Chinese-language AI prompt library for work, learning, content, marketing, and everyday life.","homepage_url":"https://yaojingang.github.io/yao-open-prompts/","license":"Other","open_issues":0,"watchers":12,"ai_summary":"A Chinese-language AI prompt library for various applications including work, learning, content creation, marketing, and daily life.","readme_excerpt":"# Yao Open Prompts\n\n[网页导航](https://yaojingang.github.io/yao-open-prompts/) · [完整目录](CATALOG.md) · [English README](README.en.md) · [英文提示词](prompts-en/README.md) · [GitHub 仓库](https://github.com/yaojingang/yao-open-prompts)\n\n《姚金刚提示词合集》的开源版本，一个面向真实工作、学习、内容、营销和生活场景的中文 AI 提示词库。\n\n本仓库从原始合集文档和后续提示词目录中整理出 **118** 个中文提示词文件，并按场景重新分类。每个提示词保留可复制的正文，去除了原文中不适合放入开源仓库主体的教程推广、效果截图、视频附件说明和 HTML 样式残留。\n\n系列型内容会优先合并成主题合集，例如 `50个 Nano Banana 创意提示词` 和 `Nano Banana PPT 场景提示词合集`，避免仓库目录被大量零散短提示词打散。\n\n近期补充重点来自 `05-Prompts/Generators`、`05-Prompts/Meta`、`05-Prompts/GEO`、`05-Prompts/Scenarios/Learning`、`05-Prompts/Products` 和《AI营销：从SEO到GEO》提示词合集：新增了合同生成、产品原型、网页 PPT V3、公众号 HTML、Schema.org GEO、GEO文章AI友好化改造、网页逆向、费曼提问学习、批判思维、36 个内容与运营类实战提示词、25 个 GEO 营销实战模板，以及宽幅知识插画信息图生成器。\n\n## 重点推荐\n\n**[智能元提示词生成系统 V0.6](prompts/01-ai-methods/rtf-meta-prompt-system-v06.md)**：基于 RTF 框架，把需求分析、角色工程、任务架构、格式规范和质量评估串成一套可复用流程，适合作为生成高质量提示词的起点。\n\n**[宽幅知识插画信息图生成器](prompts/06-ai-content/wide-knowledge-infographic-generator.md)**：把一段文案提炼为适合社交媒体和 PPT 展示的宽幅知识插画信息图，强调结构提炼、视觉分层和极简中文表达。\n\n**[GEO文章AI友好化改造提示词](prompts/08-ai-marketing/geo-article-ai-friendly-transformation.md)**：面向已有文章做 GEO 优化改造，通过结构化重构、语义优化和证据强化，提升 AI 搜索可见度和引用率。\n\n## 专题入口\n\n**[36 个内容与运营提示词](prompts/06-ai-content/README.md)**：新增提示词已直接并入 `prompts/06-ai-content/`，采用与仓库其他提示词一致的文件命名方式，覆盖短视频文案、人设风格、平台运营、行业内容、直播转化、私域成交、AI 绘画、数据复盘和爆款重构。\n\n**[25 个 GEO 营销实战模板](prompts/08-ai-marketing/README.md)**：从《AI营销：从SEO到GEO》提示词合集拆分，覆盖机会判断、原理分析、内容工程、信源建设、数据监测、增长诊断和合规风险。\n\n**[English README](README.en.md)**：英文说明文档入口，对应导航到 [118 个英文提示词](prompts-en/README.md)，英文提示词按 `prompts/` 的相同路径完整镜像在 `prompts-en/` 下。\n\n## 仓库结构\n\n```text\nprompts/                # 按场景分类的提示词正文\nprompts-en/             # 英文同步版提示词\nreferences/             # 推荐资源、第三方内容和外部项目索引\ntemplates/              # 新增提示词模板\nmaintenance/            # 维护、评审、发布检查清单\nscripts/                # 目录生成和仓库质量检查脚本\ndocs/                   # 提示词类型与代表提示词网页\nREADME.en.md            # 英文说明文档\nCATALOG.md              # 全量提示词索引\nCHANGELOG.md            # 更新记录\nCONTRIBUTING.md         # 贡献和持续迭代规则\n```\n\n## 分类\n\n| 分类 | 数量 | 说明 |\n| --- | ---: | --- |\n| AI方法 | 8 | 元提示词、反编译、网页逆向和提示词工程方法。 |\n| AI工作 | 10 | 面向企业、合同、销售、客服、产品原型、PPT、网页等生产力场景。 |\n| AI学习 | 11 | 学习方法、记忆术、费曼提问、习惯养成和学习助理。 |\n| AI生活 | 2 | 健康、亲子歌曲等生活场景。 |\n| AI教育 | 4 | 儿童教育、互动学习页面和小游戏创作。 |\n| AI内容 | 50 | 写作、润色、标题、公众号 HTML、短视频、内容运营、图像和 PPT 创意。 |\n| AI编程 | 1 | 架构设计和编程协作。 |\n| AI营销 | 29 | GEO 内容生成、文章改造、结构化数据、信源建设、数据监测、增长诊断和合规风险。 |\n| AI思考 | 3 | 批判思维、记忆、标题和思维类灵感提示词。 |\n\n完整目录见 [CATALOG.md](CATALOG.md)。\n\n## 使用方式\n\n1. 在 [CATALOG.md](CATALOG.md) 中按场景找到提示词。\n2. 打开对应 Markdown 文件，复制 `Prompt` 区域。\n3. 将 `{{变量}}`、`[占位符]` 或示例内容替换为你的真实任务信息。\n4. 在目标模型中测试输出，并根据结果记录版本迭代。\n\n## 提示词文件规范\n\n每个提示词文件包含统一 frontmatter：\n\n```yaml\ntitle: 提示词标题\ncategory: 一级分类\nsubcategory: 子类\nsource_section: 原合集章节号\nauthor: 作者或来源\nversion: 提示词版本\ncreated: 创建日期\nstatus: active | draft | third-party-review\ntags: 标签列表\n```\n\n正文只保留三部分：标题、简介、Prompt。需要展示案例、评测截图、教程链接或长说明时，优先放到 `references/` 或后续的案例目录，不和可复制提示词正文混在一起。\n\n## 持续更新机制\n\n- 新增提示词：复制 [prompt-file-template.md](templates/prompt-file-template.md)，放到对应分类目录。\n- 更新提示词：优先在原文件内提升 `version`，并在 [CHANGELOG.md](CHANGELOG.md) 记录变更。\n- 调整分类：同步更新 frontmatter 的 `category/subcategory/tags`，然后重新生成目录。\n- 质量检查：运行 `python3 scripts/check_repo.py`。\n- 重建目录：运行 `python3 scripts/generate_catalog.py`。\n- 重建网页：运行 `python3 scripts/generate_webpage.py`。\n- 发布节奏：建议使用日期版本，如 `v2026.05.1`，每次发布前走 [release-checklist.md](maintenance/release-checklist.md)。\n\n## 开源与来源策略\n\n本仓库采用 **CC BY 4.0** 作为提示词内容许可；如果后续加入脚本或工具代码，可单独使用 MIT。明显第三方或转载内容不直接并入主提示词库，先放在 `references/` 或标记为 `third-party-review`，确认授权后再发布。","github_created_at":"2026-05-06T13:04:20+00:00","created_at":"2026-07-11T11:58:35.241549+00:00","updated_at":"2026-07-28T06:00:59.387521+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"chinese-prompts","name":"chinese-prompts"},{"slug":"geo","name":"geo"},{"slug":"prompt-engineering","name":"prompt-engineering"},{"slug":"prompts","name":"prompts"}],"trust":{"provenance":{"is_fork":false,"github_id":1230925393,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-28T06:00:58.665Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":30,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:58:36.358Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-28T06:00:59.112Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-28T06:00:59.112Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-07-28T06:00:59.112Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you are working with Chinese natural language processing tasks that require tailored prompts.","If your target audience or user base speaks Mandarin and benefits from culturally specific content generation."],"when_not_to_use":["For projects needing extensive support in languages other than Chinese, as the library focuses strictly on Chinese prompts.","In scenarios where real-time customization of prompts is critical and the available set does not suffice for your needs."],"source":"enrich:decision_facts","observed_at":"2026-07-16T23:10:54.054Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Yao Open Prompts is a Chinese-language AI prompt library designed for various applications including work, learning, content creation, marketing, and daily life."}]}}