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OpenClaw

tiktok

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.

agenticio0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install agenticio/tiktok

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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 -...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/agenticio/tiktok
Version
—
Commit
cfb562d194e2c8a9c21ea0ac2432d28659a9488a
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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
-...

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