MCPInstall

tt-caption-writer

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).

Installs
78
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/sergebulaev/tiktok-skills --skill tt-caption-writer
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads tt-caption-writer automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

TikTok Caption Writer

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.

When to use

  • User has a video (or a script) and needs the caption, hashtags, and settings
  • User is about to upload and wants the posting flags right
  • User wants Claude Code or Codex to schedule a rendered .mp4 via Publora

What this skill produces

  • Caption (<= 2,200 chars on the API; aim much shorter), first line front- loaded with a reason to read or comment
  • Hashtag set (3 to 5, mixed reach), placed at the end
  • platformSettings.tiktok flags with a plain-English summary
  • On approval, the publish call (draft -> upload -> schedule) when a video file is supplied

The TikTok settings (platformSettings.tiktok)

Build these with lib.tiktok_settings(...). Defaults match Publora's.

SettingValues / defaultWhat it does
viewerSettingPUBLIC_TO_EVERYONE (default), MUTUAL_FOLLOW_FRIENDS, FOLLOWER_OF_CREATOR, SELF_ONLYwho can view. Effectively required; an empty value is rejected
allowCommentstrue (default)viewers can comment
allowDuetfalse (default)viewers can Duet
allowStitchfalse (default)viewers can Stitch
commercialContentfalse (default)the video is commercial
brandOrganicfalse (default)promoting your own brand
brandedContentfalse (default)paid partnership / sponsored

Two gotchas you must surface to the user

  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.

Posting reality

  • Unaudited apps post PRIVATE only. Until the publishing app passes TikTok's review, posts are forced to SELF_ONLY regardless of viewerSetting. Warn the user if a "public" post lands private.
  • For reach, use PUBLIC_TO_EVERYONE. For an end-to-end test, use SELF_ONLY.

Steps

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.

Never invent the specifics. The rules below ask for a concrete number, a date and a named entity, because that is what separates a real post from a generated one. Take them from what the user actually said in this conversation. Do not invent a figure, a date, a client name or a result, and do not soften a vague claim into a plausible-looking number. If the user has nothing concrete for a beat, ask them once, and if they still have nothing, drop the claim rather than decorate it. A published invented number is a retraction; a missing one is only a weaker post.

  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.

Hard rules

Global voice rules: see root SKILL.md Voice rules. Additional skill-specific rules:

  • Caption + hashtags must fit 2,200 chars (API), hashtags included. Aim far under.
  • 3 to 5 hashtags, mixed reach, at the end. Never 10+, never mid-sentence.
  • The caption never does the hook's job. The hook is in the video.
  • Always set viewerSetting. Never ship an empty value.
  • Surface the boolean inversion warning whenever an interaction flag changes.

Anti-patterns (skill will refuse)

  • Hashtag walls (10+), or hashtags jammed into the sentence.
  • Em dashes above the cap (more than about one per 100 words), or an em dash swapped for a period.
  • "The result?" reveals and "No X. No Y. Just Z." staccato stacks added for punch.
  • "Follow for part 2 / like and subscribe / don't forget to share" stacks.
  • A caption that repeats the spoken hook word for word.
  • commercialContent: true with neither brand flag set.
  • Claiming a post will be public when the app is unaudited (it will be private).

Resources

  • ../../references/voice-rules.md - caption and hashtag rules
  • ../../references/algorithm-heuristics.md - caption, hashtag, and settings heuristics
  • references/settings-matrix.md - every platformSettings.tiktok value, defaults, and the known bugs
  • lib/publora_client.py - tiktok_settings(...), publish_video(...), create_draft(...)

Optional illustration

Offer a generated image when a visual would lift reach. Draft a prompt and call lib.illustrate(prompt, kind="story"), pulling brand handle/color from Voice & Brand Profile section 6 for a pixel-exact overlay. Show the returned url + cost, for a TikTok photo post, attach the image via media_urls=[url] (TikTok photo carousel); for a video, TikTok's API has no cover-image field, so set the cover in the TikTok app. Full workflow (incl. quote-cards): ../tt-humanizer/sub-skills/illustration.md. No Pixfaro key -> it drafts the prompt for you to generate manually.

Related skills

  • tt-hook-scripter - the in-video hook (the caption does not replace it)
  • tt-humanizer - scrub the caption before publishing
  • tt-content-planner - schedule captions across a posting week

FAQ

What does the tt-caption-writer skill do?

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).

How do I install tt-caption-writer?

Run npx skills add https://github.com/sergebulaev/tiktok-skills --skill tt-caption-writer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/tt-caption-writer/ (personal) or .claude/skills/tt-caption-writer/ (project).

Which AI agents can use tt-caption-writer?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is tt-caption-writer safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains tt-caption-writer?

It is published by sergebulaev in sergebulaev/tiktok-skills. It has 78 recorded installs.

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