agentCLAWHUBUnverified
古文活过来
古文活过来——仿短视频标杆账号风格，用四幕法把「部编版初中文言文+古人命运」做成可传播的AI短视频脚本；专精古文IP（课堂式/穿越式/情景剧式）；融合13个对标账号创作手法（标题公式库/钩子库/四幕法/辩论式架构/双引擎双线矩阵/选题矩阵） Skill: 古文活过来 Owner: shylamb-token Summary: 古文活过来——仿短视频标杆账号风格，用四幕法把「部编版初中文言文+古人命运」做成可传播的AI短视频脚本；专精古文IP（课堂式/穿越式/情景剧式）；融合13个对标账号创作手法（标题公式库/钩子库/四幕法/辩论式架构/双引擎双线矩阵/选题矩阵） Tags: AI:3.4.0, AIGC:3.7.0, IP:3.7.0, latest:3.7.0 Version history: v3.7.0 | 2026-08-19T12:01:05.933Z | user v3.7.0: 新增辩论式文本结构(立靶子→拆靶子→反转)五要素; 新增多故事矩阵(≤3min转发型=多故事矩阵/3min+收藏型=单故事场景判定); 新增争议句开场钩子/蹭热点选题/回应式标题; 新增主题聚焦铁律(写XX篇先抠核心痛点不跑偏); 修正单视频一故事铁律 v3.5.0 | 202
OpenClaw
Rank
62
Safety
84
Downloads
1.2k
Updated
Oct 11, 2026
Version
3.7.0
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1.2K downloadsadoption · observed Oct 11, 2026
- Latest release
- 3.7.0release · observed Aug 19, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17cy4h7akw6432spp41n0cq458b1gd1:guwen-huoguo-lai- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-shylamb-token-guwen-huoguo-lai/snapshot"
Documentation
CLAWHUB
139,500 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
---
name: guwen-huoguo-lai
description: 古文活过来——仿短视频标杆账号风格，用四幕法把「部编版初中文言文+古人命运」做成可传播的AI短视频脚本；专精古文IP（课堂式/穿越式/情景剧式）；融合13个对标账号创作手法（标题公式库/钩子库/四幕法/辩论式架构/双引擎双线矩阵/选题矩阵）
version: 3.7.0
metadata:
openclaw:
emoji: "📜"
---
# 古文活过来（v3.7.0 · 古文IP专精版）
仿短视频标杆账号风格，将部编版初中文言文转化为**可发布的 AI 短视频脚本**：有趣、能互动、有考点、能传播。
> 本技能 v3.6.0 起**专精古文IP**（数理故事已拆分为独立技能 shuli-huoguo-lai，2026-08-17）；v3.7.0 新增辩论式架构/多故事矩阵/争议开场/蹭热点选题。
> 融合 13 账号：第二课堂（课堂式）/ 古人来敲门（情景剧）/ 拾文予童的一堂课（亲子教育×AI语文）/ 银河第一课（AI+古文+历史）/ 孔孟道（先贤智慧育儿）/ 苏先生的答案（先贤×穿越）/ 斯文的灰鸽子（国学解读）/ 小满的一堂课（课文考点）/ 徐望唐|古诗新说（意难平课文×极情绪对比）/ 鱼在西楼|导演版（AI电影×系列合集×双主角互文）/ 山野来信（二元两难×第三解）/ 书禾的一堂课（金句认知刷新×收藏驱动）/ 离谱大挑战（冷门成语×场面钩子×转发驱动）
> 数据来源：抖音作品接口 [web] 2026-08-03 游客态抓取 + 徐望唐《祭侄文稿》[web] 2026-08-05 + 鱼在西楼《琵琶行》完整版（幻大唐盛夜第4集，AI电影）[web] 2026-08-06 + 山野来信《逼她学？还是放任快乐教育？》（孔子AI育儿）[web] 2026-08-07 + 书禾的一堂课《真正的自觉》[web] 2026-08-17 抖音页面实测（赞10.7K/藏6,240/转4,649/评362）+ 离谱大挑战《临渴掘井》[web] 2026-08-17 蝉妈妈（火锅大逃亡 赞11.4w/转11.2w）+ 古人来敲门《凭什么管我》[web] 2026-08-17 分享页生态 + 清醒认知社《学霸是怎样养成的》[web] 2026-08-17 分享页Title（认知翻转/系列化锚点迁移）
---
## 核心理念
> 古文不是用来背的，是活过一遍又活过来的。
四条原则：
1. **一句话破题** — 用学生听得懂的现代生活语言讲出核心矛盾
2. **情境拉满** — 把古代场景"搬"到今天，让学生代入角色
3. **人物有血有肉** — 不扁平化古人，呈现情绪、动机与微妙之处
4. **落脚在当下的道理** — 讲完古文，让学生带走一个用得上的思考
**新增原则（13 账号验证）**：
5. **替用户提问** — 钩子不是"讲知识"，是"替目标用户问出心里话"（银河第一课）
6. **为转发设计金句** — 内容本质是社交货币，第4幕必须有"值得转给孩子/学生"的金句（拾文予童/孔孟道）
7. **转赞比是北极星** — 爆款信号 = 转发+收藏双高，评论低是常态（孔孟道 174.5万赞/51.8万转）
**v3.5 新增原则（书禾的一堂课 + 离谱大挑战）**：
**双引擎矩阵**——爆款有两种截然不同的互动引擎，先定位再创作：
| 引擎 | 代表账号 | 数据信号 | 人群 | 用途 |
|------|---------|---------|------|------|
| 收藏驱动（实用价值） | 书禾的一堂课 | 赞:藏≈1.7:1 | 精准（家长/学生） | 主线基本盘，耐老复利 |
| 转发驱动（社交货币） | 离谱大挑战 | 赞:转≈1:1 | 泛人群 | 副线拉新破圈 |
- **双线矩阵运营**：主线（70-80%产能）走收藏驱动，副线（20-30%）走转发驱动，账号人设统一不撕裂；用数据（涨粉来源/收藏率/转发率）调比例
- **空间判断**：收藏驱动长期天花板更高（精准人群+信任变现+内容耐老），转发驱动赢在短期爆发——主线求稳，副线求爆
**金句认知刷新公式**（书禾验证）：
- `真正的X，是把“A被动”变成“B主动”`（定义式金句）
- `真正的X，不是A，而是B`（否定旧认知→建立新认知，最高级金句结构）
- 用具象动作（牵/走/翻书）代替抽象道理；结尾落在具体人格品质（负责）
**冷门成语×场面钩子**（离谱大挑战验证）：
- 标题公式：`[冷门成语] + [颠覆常识的人性洞察/扎心反问]`
- 用"场面感"留人（大逃亡/大挑战/分屏对比），用金句完成价值传递；先给场面再给道理
- 成语是无限选题库（一个成语一条），系列化吃算法复利
**单视频一故事规则（修正·区分场景，不限死）**：
- 适用于：长视频 3min+、收藏驱动、深度解析一篇文讲透一个人（书禾/孔孟道/灰鸽子）
- **不适用于**：小满式 90s-3min 节奏型爆款——这类恰恰靠「多故事矩阵」取胜（见下条 v3.7）
- 判定：时长≤3min 且定位转发/播放型 → 用多故事矩阵；3min+ 且定位收藏深度型 → 用单故事
**v3.7 新增（小满的一堂课《送东阳马生序》第23集实测 2026-08-18）**——争议开场×蹭热点×多故事矩阵：
20. **争议句开场钩子（前3秒）** — 开场直接抛一句犀利/冒犯/反常识的话制造对立，如「不就是在跟后辈炫耀」。优于画面铺垫派（穿越/唯美）：争议更尖锐、评论欲更强、更留人。例「诸葛亮写给儿子的信，被骂了1700年？」。**争议开场 > 穿越讲古文**
21. **蹭热点选题（顺水推舟）** — 找当下全网正热议的「课文重新解读/先贤争议」（如宋濂写序为求活说），顺着讨论做回应视频，自带流量水位。触发信号：某必背课文被重新解读/被质疑。经典篇目做基本盘，争议热点做流量盘。
22. **回应式标题（争议的结论）** — 结构`[别人以为的]——[其实是]`：先否定旧认知再给新结论。例「你以为的苦，是他求来的路」「他被骂1700年，其实是被误解的信」。标题是对争议的回应，不是陈述内容。
23. **多故事矩阵** — 单条视频=一个主题+多个故事支撑（钩子/主证/反衬/反转/怼现代），每个故事只承担一个功能，用主题句三锤贯穿（如「你以为的苦是他求来的路」）。缝合三法：主题句反复敲击/同一意象跨故事咬合/功能分工各司其职。节奏三段式：压（最重开局）→放（反差呼吸）→收（认知反转+怼回观众）。
24. **辩论式文本结构（立靶子→拆靶子→反转）** — 最高阶的爆款架构，讲爆而非讲深。四幕法讲深，辩论式讲爆。五要素：
- ① 冲突句前置：第一句台词必须是「让人想反驳的话」（观点+攻击性），不做铺垫（「不就是在跟后辈炫耀」）。❌铺垫式开场（穿越设定）浪费前3秒。
- ② 小孩（或学生）当杠精：角色是替观众抬杠的质疑者，每句吐槽都是观众心里想的（「炫耀」「打鸡血」）→观众代入「有人替我问了」→主角的每次回应=替观众_meta.json
{
"ownerId": "kn71nt6zb3da5f78xw620056dh8b0wc0",
"slug": "guwen-huoguo-lai",
"version": "3.7.0",
"publishedAt": 1787140865933
}skill-card.md
## Description: Creates Chinese-language AI short-video scripts that turn junior-middle-school classical Chinese texts and historical figures into publishable scripts using hooks, four-act structure, debate-style framing, shot planning, and publishing notes. This skill is ready for commercial/non-commercial use. ## Publisher: [shylamb-token](https://clawhub.ai/user/shylamb-token) ### License/Terms of Use: MIT-0 ## Use Case: Educators, video creators, and Chinese-language learning teams use this skill to convert classical Chinese curriculum texts into short-video scripts with titles, hooks, narrative structure, original-text study cards, storyboard directions, AI visual prompts, and publishing guidance. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Outputs may include Chinese-only wording and promotional publishing elements such as campaign hashtags, an account mention, or a branded follow line. Mitigation: Review generated materials before reuse and remove or adapt branded publishing text when neutral educational materials are required. Risk: Generated educational scripts could distort classical text meanings or add unsupported historical details. Mitigation: Check translations, study cards, and historical claims against trusted curriculum or primary-source references before publication. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/shylamb-token/skills/guwen-huoguo-lai) - [SKILL.md](artifact/SKILL.md) - [DOCX generation script](artifact/scripts/generate_docx.py) ## Skill Output: **Output Type(s):** [Text, Markdown, Code, Configuration, Guidance] **Output Format:** [Structured Chinese Markdown-style script template with optional DOCX-generation support] **Output Parameters:** [1D] **Other Properties Related to Output:** [Outputs may include Chinese-only wording, platform publishing notes, campaign hashtags, account mentions, and branded follow text.] ## Skill Version(s): 3.7.0 (source: frontmatter and server release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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