TikTok Growth OS
A local-first operating system for TikTok creators.
Focus on retention, repeatability, and strategic content design rather than random virality.
What this skill does
Use this skill when the user wants help with:
- - TikTok niche positioning
- content pillars
- video ideas
- hooks
- short-form scripts
- A/V storyboard formatting
- series planning
- captions and hashtags
- retention diagnosis
- performance pattern review
This skill should produce execution-ready outputs, not vague inspiration.
Core operating logic
TikTok growth is treated as a system of controllable variables:
- - Hook strength: Does the first 1–3 seconds create tension or relevance?
- Retention design: Does the script create momentum and payoff?
- Visual pacing: Is there a pattern interrupt every few seconds?
- Audience fit: Does this feel native to the target viewer?
- Series potential: Can this idea create repeated return behavior?
- Data feedback: What should be repeated, refined, or dropped?
Do not present growth as magic.
Do not guarantee virality or follower gains.
Always frame outputs as strategic guidance.
Output rules
When generating TikTok content, prefer:
- - spoken-language phrasing
- short sentences
- immediate tension
- specific audience fit
- clear payoff
- native short-form rhythm
Avoid:
- - essay-style intros
- generic motivational filler
- slow setup with no payoff
- over-explaining before the hook lands
Default content workflow
When the user asks for TikTok help, structure work in this order when relevant:
- 1. clarify niche or audience if already known from local memory
- generate 3–10 content angles
- produce 5 hook variations
- build one execution-ready script
- optionally save the result to local memory
- if analytics exist, use prior performance to refine the output
Hook generation rules
Hooks should usually fall into one of these buckets:
- - curiosity gap
- painful truth
- contrarian take
- mistake warning
- identity-based recognition
- specific promise
- emotional confession
- authority / signal of experience
When generating hooks:
- - make each variation meaningfully different
- label the type
- explain briefly why it may work
- avoid repeating the same sentence shape
Script generation rules
When writing TikTok scripts, default to this format:
| Time | Visual | Spoken / Audio | On-Screen Text |
|------|--------|----------------|----------------|
Guidelines:
- - first 1–3 seconds must carry the hook
- each segment should add tension, clarity, or payoff
- include pattern interrupts where useful
- optimize for vertical, short-form pacing
- include CTA only if it fits naturally
Performance review rules
If the user provides metrics or performance context, diagnose using first principles such as:
- - weak opening
- slow payoff
- too much setup
- vague topic framing
- mismatch between title/hook and delivery
- insufficient visual momentum
- weak emotional or practical value
- unclear audience targeting
Local memory
All files are stored locally only in:
INLINECODE0
Files:
- -
profile.json — niche, audience, goals, pillars - INLINECODE2 — saved ideas, hooks, scripts, captions, notes
- INLINECODE3 — manually logged video performance
- INLINECODE4 — latest summarized learning report
Scripts
| Script | Purpose |
|---|
| INLINECODE5 | Create or update account profile |
| INLINECODE6 |
Save ideas, hooks, scripts, captions, or notes |
|
scripts/list_content.py | Browse local content assets |
|
scripts/log_performance.py | Log manual TikTok performance data |
|
scripts/analyze_patterns.py | Summarize local performance patterns |
References
- - INLINECODE10
- INLINECODE11
Safety boundaries
- - Local-only storage
- No TikTok API
- No account login
- No posting
- No scraping
- No engagement automation
- No claims of guaranteed virality
The user is responsible for final review, posting, and platform compliance.
TikTok增长操作系统
一个面向TikTok创作者的本地优先操作系统。
专注于留存、可重复性和战略性内容设计,而非随机爆红。
该技能的作用
当用户需要以下方面的帮助时使用此技能:
- - TikTok细分定位
- 内容支柱
- 视频创意
- 钩子
- 短视频脚本
- 视听分镜格式
- 系列规划
- 标题和标签
- 留存诊断
- 表现模式复盘
该技能应产出可直接执行的成果,而非模糊的灵感。
核心运行逻辑
TikTok增长被视为一个可控变量系统:
- - 钩子强度:前1-3秒是否制造了张力或相关性?
- 留存设计:脚本是否创造了动力和回报?
- 视觉节奏:是否每隔几秒就有模式中断?
- 受众契合度:内容是否让目标观众感觉自然?
- 系列潜力:这个创意能否创造重复回看行为?
- 数据反馈:哪些内容应重复、优化或舍弃?
不要将增长呈现为魔法。
不要保证爆红或涨粉。
始终将输出定位为战略指导。
输出规则
生成TikTok内容时,优先使用:
- - 口语化表达
- 短句
- 即时张力
- 精准受众契合
- 明确回报
- 原生短视频节奏
避免:
- - 论文式开头
- 通用励志填充
- 缓慢铺垫无回报
- 钩子出现前过度解释
默认内容工作流程
当用户寻求TikTok帮助时,按以下顺序组织工作(如适用):
- 1. 若本地记忆已知,明确细分领域或受众
- 生成3-10个内容角度
- 制作5个钩子变体
- 构建一个可执行的脚本
- 可选:将结果保存到本地记忆
- 如有分析数据,使用过往表现优化输出
钩子生成规则
钩子通常应属于以下类别之一:
- - 好奇心缺口
- 痛苦真相
- 逆向观点
- 错误警示
- 身份认同
- 具体承诺
- 情感坦白
- 权威/经验信号
生成钩子时:
- - 每个变体要有实质性差异
- 标注类型
- 简要说明为何有效
- 避免重复相同的句式
脚本生成规则
编写TikTok脚本时,默认使用以下格式:
| 时间 | 画面 | 台词/音频 | 屏幕文字 |
|------|--------|----------------|----------------|
指南:
- - 前1-3秒必须承载钩子
- 每个片段应增加张力、清晰度或回报
- 在有用处加入模式中断
- 优化竖屏短视频节奏
- 仅当自然契合时加入行动号召
表现复盘规则
如果用户提供数据或表现背景,使用以下基本原则诊断:
- - 开头薄弱
- 回报缓慢
- 铺垫过多
- 话题框架模糊
- 标题/钩子与实际内容不匹配
- 视觉动力不足
- 情感或实用价值薄弱
- 受众定位不清晰
本地记忆
所有文件仅本地存储在:
~/.openclaw/workspace/memory/tiktok/
文件:
- - profile.json — 细分领域、受众、目标、支柱
- contentbank.json — 保存的创意、钩子、脚本、标题、笔记
- analytics.json — 手动记录的视频表现
- patternreport.json — 最新总结的学习报告
脚本
| 脚本 | 用途 |
|---|
| scripts/manageaccount.py | 创建或更新账户资料 |
| scripts/savecontent.py |
保存创意、钩子、脚本、标题或笔记 |
| scripts/list_content.py | 浏览本地内容资产 |
| scripts/log_performance.py | 手动记录TikTok表现数据 |
| scripts/analyze_patterns.py | 总结本地表现模式 |
参考资料
- - references/hooks.md
- references/retention.md
安全边界
- - 仅本地存储
- 无TikTok API
- 无账户登录
- 无发布功能
- 无数据抓取
- 无互动自动化
- 不保证爆红
用户负责最终审核、发布和平台合规。