MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
它精准解决了内容创作者快速生成针对科技/AI视频的抓眼球钩子的需求，并提供语言、数量、字数和情感风格等灵活配置。
适合谁使用
- 制作科技/AI短视频的内容创作者
- 需要快速获取钩子变体的视频编辑
- 优化短视频/Reels的社交媒体运营人员
- 推广自家AI产品的开发者
典型使用场景
- 为技术教程创作开场字幕钩子
- 对不同钩子风格（好奇心、恐惧等）进行A/B测试
- 生成双语或纯中文的钩子
- 为同一视频产出多个钩子变体
项目优势
- 支持英语、中文及双语输出
- 可自定义数量（10-30）、最大字符数和情感风格
- 开源（MIT许可证），可通过npx或monorepo安装
- 专门针对科技/AI领域，保证钩子相关性强
使用前须知
- 仅适用于视频前1-3秒
- 严格局限于科技和AI内容
- 需要借助 npx skills add 或 monorepo 安装，README未提供独立使用示例
README 快速开始
Subtitle Hooks
Generate first-3-second on-screen subtitle hooks for short tech/AI videos (many variants).
中文简介： 你写科技向短视频前 1–3 秒的画面字幕钩子。 — 详见 README.zh.md.
What this skill does
- You write punchy on-screen hooks for the first 1–3 seconds of tech videos
- Scope: AI tools, coding, productivity, gadgets
- Deliverable: See SKILL.md deliverable.
- Triggers: subtitle hooks, cold open text, hook lines, 前三秒字幕, reel hooks.
Install
After this package is on GitHub:
npx skills add / --skill subtitle-hooks
Local monorepo: point your agent at skills/subtitle-hooks/ (this folder).
Options
| Option | Values | Default |
|---|---|---|
lang | en · zh · bilingual | en |
count | 10 · 20 · 30 | 20 |
max_chars | 18 · 24 · 32 (EN soft); ZH 12·16·20 | EN 24 / ZH 16 |
style | curiosity · contrarian · result · fear · identity · mix | mix |
Runtime output language follows lang (default en). Skill docs stay EN-primary.
When to use
| Use | Don't |
|---|---|
| (see bullets) | (see bullets) |
Use
- When you need
subtitle-hooksworkflow
Don't
- Out-of-scope tasks listed in SKILL.md
Deliverable
See SKILL.md deliverable.
Full workflow, hard rules, and QA: see SKILL.md.
Example
Monorepo sample (if present): ../../output/samples/subtitle-hooks-example-01.md
License
MIT — see LICENSE.
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