tt-audience-insights
Read your TikTok niche and audience from real data. Scan a hashtag for top videos with plays, likes, and comments, see which hooks and sounds are working, pull…
Write a TikTok caption under 2,200 chars (hashtags included), pick a tasteful 3 to 5 hashtag set with mixed reach, and set the platformSettings.tiktok flags (viewer setting, comments, duet, stitch, commercial and branded content). Front-loads a reason to comment, runs the
$ npx -y skills add sergebulaev/tiktok-skills --skill tt-caption-writer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tt-caption-writerContext preview
The summary Claude sees to decide when to auto-load this skill.
Write a TikTok caption under 2,200 chars (hashtags included), pick a tasteful 3 to 5 hashtag set with mixed reach, and set the platformSettings.tiktok flags (viewer setting, comments, duet, stitch, commercial and branded content). Front-loads a reason to comment, runs the
name: tt-caption-writer description: "Write a TikTok caption under 2,200 chars (hashtags included), pick a tasteful 3 to 5 hashtag set with mixed reach, and set the platformSettings.tiktok flags (viewer setting, comments, duet, stitch, commercial and branded content). Front-loads a reason to comment, runs the humanizer pass, and publishes the rendered video via Publora on approval. Use to caption a finished video. Not for the in-video hook (use tt-hook-scripter) or scrubbing a script (use tt-humanizer)."
Write the caption that sits under the video: a tight caption inside the 2,200 char API limit, a mixed-reach hashtag set, and the `platformSettings.tiktok` flags that control reach and interaction. On TikTok the caption supports the video, it does not carry it. The hook is in the first 1-3 seconds of the clip (see `tt-hook-scripter`); the caption's job is to add context and earn a comment.
loaded with a reason to read or comment
is supplied
Build these with `lib.tiktok_settings(...)`. Defaults match Publora's.
| Setting | Values / default | What it does | |---|---|---| | `viewerSetting` | PUBLIC_TO_EVERYONE (default), MUTUAL_FOLLOW_FRIENDS, FOLLOWER_OF_CREATOR, SELF_ONLY | who can view. Effectively required; an empty value is rejected | | `allowComments` | true (default) | viewers can comment | | `allowDuet` | false (default) | viewers can Duet | | `allowStitch` | false (default) | viewers can Stitch | | `commercialContent` | false (default) | the video is commercial | | `brandOrganic` | false (default) | promoting your own brand | | `brandedContent` | false (default) | paid partnership / sponsored |
1. **Boolean inversion bug.** Publora currently maps `allowComments`, `allowDuet`, `allowStitch` to TikTok's `disable_*` flags, so the booleans can land inverted (sending `allowDuet: true` may disable duets). The status cannot be confirmed from the API alone. **Test with a `SELF_ONLY` draft before trusting these values.** Tell the user this whenever they change a flag. 2. **Commercial disclosure.** If `commercialContent` is true, at least one of `brandOrganic` (your own brand) or `brandedContent` (paid partnership) must also be true, or Publora rejects it. `lib.tiktok_settings` enforces this.
review, posts are forced to `SELF_ONLY` regardless of `viewerSetting`. Warn the user if a "public" post lands private.
**Voice profile first (all drafts).** If `../../references/voice-profile.md` has `filled: yes`, load it and match the user's voice fingerprint, hard rules, and CTA/link style throughout. If it is not filled, mention once that `tt-humanizer --mode profile` can learn their voice from a few posts, then proceed with the generic voice rules.
1. **Gather inputs, goal first.** Ask (or infer) what the caption should earn, then shape for it: comments -> end on one specific question tied to the video; saves -> promise reference value ("the 3 settings are in the caption"); shares -> a claim people will want to show someone; profile taps -> an open loop the pinned video pays off. Then gather the video topic/script, the niche, whether it is commercial, and whether a rendered .mp4 path exists. 2. **Draft the caption.** Front-load the first visible line with a reason to read or a specific question to comment on. Keep it tight. Em dashes under the cap (about one per 100 words; a short caption rarely needs one), no AI vocab cluster. Optionally restate the hook's open loop as a comment prompt. 3. **Pick hashtags.** 3 to 5, mixed reach: one broad, one to two niche-defining, one to two specific to the video. Put them at the end. Never stuff. 4. **Set the flags.** Default to `PUBLIC_TO_EVERYONE`, comments on, duet/stitch off, no commercial flags. Adjust per the user, and surface the two gotchas. Build with `lib.tiktok_settings(...)`. 5. **Char check.** Confirm caption + hashtags <= 2,200. If over, tighten. 6. **Humanizer pass.** Scrub 2026 AI vocab by density, cap em dashes (about one per 100 words, never swap one for a period), break stacked triads, generic openers, reveal bridges and sincerity openers ("not gonna lie"). Leave the rhythm alone; never chop a line for punch. Canonical rules: `tt-humanizer` V3. 7. **Approval card.** Show: caption, char count, hashtag set, settings summary, and the resolved `viewerSetting` (flag if it may post private). 8. **On approval.** Call `lib.publish("video", caption, target_url=<upload or profile URL>, video_path=<path or None>, platform_settings=<settings>, scheduled_time=<iso or None>, platforms=[<TIKTOK_PLATFORM_ID>])`. With a video path and Publora configured, it runs draft -> upload -> schedule. Without one, it returns the caption and settings to upload in-app.
Global voice rules: see root `SKILL.md` Voice rules. Additional skill-specific rules:
Part of the linkedin-skills family (400+ stars). Same voice engine and approve-before-publish flow, now for TikTok. Also available for Instagram · X · YouTube · Threads · Facebook. 8 skills that turn Claude Code and Codex into your TikTok content team.
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