According to AlphaMoat, as of 2026-09, TikTok has 3,761 downloads and 4 stars — ranked #2,833 of 5,078 AI skills overall, and #196 of 362 in Content.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 91 | 3.7K | 4 | - |
| SkillHub ↗ | 170 | 3.8K | 4 | — |
Platforms count differently and update at different times.
Plan account positioning, content pillars, ideas, hooks, short-form scripts, series, captions, and hashtags; review retention and performance patterns. Assets can be stored locally. The skill does not use the TikTok API, post content, or automate the platform, and it does not guarantee growth or virality. Optional saved profiles, drafts, and manually entered analytics persist under ~/.openclaw/workspace/memory/tiktok/; review retention and delete when no longer needed. A person must review brand fit, facts, and platform compliance and publish the final content.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.8K | — | 4 |
| 2026-08 | 3.3K | +14.5% | 4 |
| 2026-07 | 2.9K | +20.4% | 4 |
| 2026-06 | 2.4K | +14.4% | 4 |
| 2026-05 | 2.1K | — | 4 |
| 2026-03 | 1.2K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- 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: | 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: `~/.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 | Script | Purpose | |--------|---------| | `scripts/manage_account.py` | Create or update account profile | | `scripts/save_content.py` | 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 - `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.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.