← 返回
数据分析 中文

TikTok

Local-first TikTok Growth OS for strategy, hooks, scripts, retention design, and analytics feedback. Use when the user mentions TikTok, short-form video, hoo...
本地优先的TikTok增长系统,涵盖策略、钩子、脚本、留存设计及分析反馈。适用于涉及TikTok、短视频、钩子等话题的场景。
agenticio
数据分析 clawhub v3.0.0 3 版本 99912.7 Key: 无需
★ 4
Stars
📥 2,209
下载
💾 170
安装
3
版本
#content#creator#growth#latest#social-media#tiktok#video#viral

概述

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
  2. generate 3–10 content angles
  3. produce 5 hook variations
  4. build one execution-ready script
  5. optionally save the result to local memory
  6. 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:

TimeVisualSpoken / AudioOn-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:

~/.openclaw/workspace/memory/tiktok/

Files:

  • profile.json — niche, audience, goals, pillars
  • content_bank.json — saved ideas, hooks, scripts, captions, notes
  • analytics.json — manually logged video performance
  • pattern_report.json — latest summarized learning report

Scripts

ScriptPurpose
-----------------
scripts/manage_account.pyCreate or update account profile
scripts/save_content.pySave ideas, hooks, scripts, captions, or notes
scripts/list_content.pyBrowse local content assets
scripts/log_performance.pyLog manual TikTok performance data
scripts/analyze_patterns.pySummarize local performance patterns

References

  • references/hooks.md
  • references/retention.md

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.

版本历史

共 3 个版本

  • v3.0.0 当前
    2026-03-29 01:26 安全 安全
  • v2.1.0
    2026-03-11 11:49
  • v2.0.0
    2026-03-11 10:58

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

data-analysis

Excel / XLSX

ivangdavila
创建、检查和编辑 Microsoft Excel 工作簿及 XLSX 文件,支持可靠的公式、日期、类型、格式、重算及模板保留功能。
★ 366 📥 139,952
data-analysis

A股量化 AkShare

mbpz
A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。
★ 162 📥 59,666
data-analysis

Data Analysis

ivangdavila
{"answer":"数据分析与可视化。查询数据库、生成报告、自动化电子表格,将原始数据转化为清晰可行的见解。适用于:(1) 您……"}
★ 198 📥 64,850