Tiktok Growth logo

Tiktok Growth

Organization
social-media-skills
tiktok-growth

Use to grow a TikTok account — the TikTok-specific growth strategy that diagnoses where growth is stuck and orchestrates the other skills to fix it. Run when the user says "grow on TikTok," "TikTok growth," "get more followers/views on TikTok," "my TikTok isn't growing," "go viral on TikTok," or "TikTok strategy." Reads brand-profile, social-strategy, and audience first. Built on the 2026 reality that TikTok is an interest graph — follower count is not a ranking factor; completion rate and rewatches drive reach, and search/SEO is a major evergreen pillar. Diagnoses the broken stage of the test-and-expand loop and routes to the right skill (tiktok-script, hook-writer, profile-optimization, content-calendar, hashtag-strategy, trend-jacking, viral-reverse-engineering). Judges via native TikTok analytics — not WoopSocial analytics — and treats followers as a business asset, not the reach mechanism.

Overview

Publishersocial-media-skills
Repositoryskills
Skill nametiktok-growth
Stars
215
Forks
44
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by social-media-skills on GitHub. Read the source before you install it.

Installation

Install the Tiktok Growth AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/social-media-skills/skills/tree/main/skills/tiktok-growth
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/social-media-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/tiktok-growth .claude/skills/tiktok-growth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tiktok Growth in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tiktok Growth on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tiktok Growth is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TikTok Growth

This is the TikTok-specific growth system — not a content skill. It diagnoses where growth is stuck and routes to the skills that fix it, on top of how TikTok actually distributes content in 2026. Don't carry over Instagram assumptions; TikTok is a different machine.

Three truths shape everything:

  1. TikTok is an interest graph, not a social graph. Follower count is not a ranking factor — every video is tested on a cold audience, and ~70–80% of the FYP is non-followers. You don't grow by accumulating followers for reach.
  2. Completion + rewatch win. The top signal is completion rate (aim ~70%+), then rewatches/loops; likes are the weakest. The first ~1 second decides everything.
  3. Search and volume are growth pillars. TikTok is a search engine (evergreen discovery), and each post is a cheap at-bat — consistency + reading patterns beats one-off luck.

Followers are the business asset (LIVE/Shop/owned audience), not the reach mechanism. (Full model: references/the-growth-engine.md.)

Step 0 — Read the foundation + the current state

Load brand-profile.md, social-strategy.md, audience.md. Get the goal and the current state from WoopSocial post analytics (views, likes, comments, shares, saves) plus native TikTok analytics for completion %, rewatches, traffic source, and follows-per-video — those are not stored in WoopSocial. Never fabricate.

Step 1 — Diagnose the broken stage/phase

Find where it's stuck in the test-and-expand loop: Phase-1 death (hook/completion) → Phase-2 plateau (cold-audience hold) → follow-conversion → search → volume/consistency → niche → community. A growth problem is almost always one stage. See the diagnosis table in references/features-and-diagnosis.md.

Step 2 — Fix completion + rewatch (the dominant signal)

If reach is the issue: rebuild the 1-second hook, raise completion toward ~70%+ (fast pacing, no dead air, right length), and add a loop/rewatch trigger. → tiktok-script, hook-writer. See references/completion-search-volume.md.

Step 3 — Build the search lane (evergreen discovery)

Put the primary keyword in spoken audio + on-screen text + caption (the triple mention), write captions like search queries, and build keyword clusters so videos get found for months independent of the FYP. → hashtag-strategy/social-seo, tiktok-script.

Step 4 — Run consistent at-bats + read patterns

A sustainable cadence (commonly ~3–5×/week, quality-gated) gives the algorithm more tests; judge by patterns across many videos, not one flop; the back-catalog resurfaces. Photo Mode carousels are cheap extra at-bats where the niche fits (high-ceiling, niche-dependent — not a reach hack) → tiktok-photo-mode. → content-calendar, viral-reverse-engineering. See references/completion-search-volume.md.

Step 5 — Convert + retain with native features

  • Convert: if views are high but follows are low, it's the profile + no reason to follow → profile-optimization + a Series/Parts (drives binge + follows).
  • Reach features: Stitch/Duet to piggyback momentum; pinned comment to seed engagement.
  • Community/business: LIVE (needs ~1k followers), playlists, video replies — for warm fans, not early reach. See references/features-and-diagnosis.md.

Step 6 — Niche, cadence, measurement

  • Tighten the niche so the interest graph can categorize and recommend you ("sides of TikTok").
  • Sustainable cadence → content-calendar.
  • Measure via native analytics (completion, rewatch, shares, traffic source, follows-per-video). No WoopSocial analytics; follower count isn't the goal metric.

Orchestration map

tiktok-growth diagnoses and routes; these execute: tiktok-script · tiktok-photo-mode · hook-writer · caption-writer · profile-optimization · content-calendar · hashtag-strategy · trend-jacking · viral-reverse-engineering · cross-platform-repurposing · scheduling-and-queue.

Quality bar — self-check

  • Did I diagnose the broken stage/phase rather than spray generic tips?
  • Did I center completion (~70%+) + rewatch as the signals, and the 1-second hook?
  • Did I build the search lane and frame growth as consistent at-bats + patterns?
  • Did I treat followers as a business asset, not a reach lever?
  • Did I route to the right skills, with sustainable cadence and native-analytics measurement?
  • No bought followers / no #fyp / no polished-ad advice / no guarantees, and the flux caveat?

Edge cases & pushback

  • "Buy followers / I need followers for reach" → refuse fake engagement; follower count isn't a ranking factor; reframe to completion/search + followers-as-business-asset.
  • "~200 views then dead" → Phase-1 death → hook + completion → tiktok-script/hook-writer.
  • "One flop, the algorithm hates me" → single videos are noise; consistent at-bats + read patterns.
  • "Guarantee me viral" → no guarantees; stack the odds; note the 2026 algorithm flux.
  • Scattered niche → tighten the lane so the interest graph can categorize you.
  • "Use LIVE to grow" (small account) → LIVE needs ~1k and is community/monetization, not early reach.
  • "Which video performs best?" → native TikTok analytics; no WoopSocial analytics.

Related skills

  • brand-profile, social-strategy, audience-research — the positioning growth rests on.
  • tiktok-script, hook-writer, caption-writer — the content that earns completion + search.
  • profile-optimization — converts reach to follows; content-calendar — sustainable at-bats.
  • hashtag-strategy/social-seo — the search/keyword layer; trend-jacking — sounds/trends.
  • viral-reverse-engineering — read patterns across videos; tiktok-video-publishing / tiktok-photo-mode + scheduling-and-queue — publish.

References

  • references/the-growth-engine.md — interest graph, the 3-phase test, the signals, the loop, flux.
  • references/completion-search-volume.md — the three pillars: completion/rewatch, search/SEO, volume + patterns.
  • references/features-and-diagnosis.md — native features, niche, followers-as-business, symptom→stage→fix.
  • references/examples.md — worked diagnoses with routing, plus honest expectations.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tiktok Growth AI skill do?

Use to grow a TikTok account — the TikTok-specific growth strategy that diagnoses where growth is stuck and orchestrates the other skills to fix it. Run when the user says "grow on TikTok," "TikTok growth," "get more followers/views on TikTok," "my TikTok isn't growing," "go viral on TikTok," or "TikTok strategy." Reads brand-profile, social-strategy, and audience first. Built on the 2026 reality that TikTok is an interest graph — follower count is not a ranking factor; completion rate and rewatches drive reach, and search/SEO is a major evergreen pillar. Diagnoses the broken stage of the t...

Why use Tiktok Growth on TypingMind?

Because you install it once and use it with any model. Tiktok Growth is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tiktok Growth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/tiktok-growth. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tiktok Growth?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tiktok Growth?

As many as you like. As long as a model supports skills, you can use Tiktok Growth with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tiktok Growth AI skill free?

Yes. It is published on GitHub by social-media-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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