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tiktoktiktok 分析

Agent Skill

tiktok 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

31,530

周安装

1,327

GitHub Stars

3

下载量

11,041
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tiktok(tiktok 分析)
来源仓库:https://github.com/agenticio/tiktok
安装命令:
openclaw skills install tiktok
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install tiktok

简介

tiktok 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。

  • 适用于策略、挂钩、脚本、保留设计和分析反馈的 TikTok Growth 操作系统。
  • 通过 clawhub 安装,命令为 openclaw skills install tiktok。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • tiktok 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
tiktok
description
Local-first TikTok Growth OS for strategy, hooks, scripts, retention design, and analytics feedback. Use when the user mentions TikTok, short-form video, hooks, scripts, retention, virality, content pillars, series planning, account positioning, or performance review. Generates execution-ready outputs and stores all assets locally. No API, no posting, no platform automation.

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.65%
按下载量换算9,236

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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