據 AlphaMoat 統計,截至 2026-09,TikTok 累計下載 3,761 次、獲 4 個星標,在全部 5,078 個 AI 技能中排名第 2,833 位,在「內容創作」分類(362 個)中排名第 196 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 91 | 3728 | 4 | - |
| SkillHub ↗ | 170 | 3761 | 4 | — |
各平台的計數口徑不同,統計時間不一致。
幫助規劃帳號定位、內容支柱、選題、開場鉤子、短影片腳本、分集系列、配文與標籤,並分析留存和表現模式。素材可儲存在本地;此技能不使用 TikTok API,不會代發內容或自動化平台操作,也不保證播放增長或走紅。 選擇儲存的資料、草稿與手動輸入指標會保留在 ~/.openclaw/workspace/memory/tiktok/,應檢查保留期限並在不需要時刪除。最終內容由人工審核品牌契合度、事實與平台規則後自行發布。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3761 | — | 4 |
| 2026-08 | 3346 | +14.5% | 4 |
| 2026-07 | 2921 | +20.4% | 4 |
| 2026-06 | 2427 | +14.4% | 4 |
| 2026-05 | 2121 | — | 4 |
| 2026-03 | 1182 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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.
識別並去掉文字里的 AI 寫作痕跡,讓文字讀起來更像人寫。
把文字里 AI 寫作的典型痕跡挑出來並改寫得更自然,同時保留原意的寫作編輯技能。
識別並去除 AI 生成文字痕跡的中文文字編輯技能。
wechat-search 檢索公眾號熱門文章,並按相關性、熱度和時效整理結果。
從公開短影片分享連結提取標題、簡介和口播文案,並給出改寫版本。
humanizer 為中英文文字提供更自然的表達和風格編輯指導。
寫網文章節並按檔案落盤,聊天裡只回摘要與指標。
把一組行銷方法模組收進同一個技能,按請求路由到對應模組取清單與可交付稿。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。