本文へ移動
cccskills
無料GitHub で公開

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 a profile's videos (yours or a competitor's), and read the commenters on a video (TikTok hides likers, so commenters are the signal). Powered by Apify, no login. Triggers on "what is trending on TikTok", "analyze this hashtag", "competitor videos", "read my comments", "which sounds are working". Not for writing a script (use tt-hook-scripter).

sergebulaev/tiktok-skills
インストール方法を見る

含まれるファイル（1）

  • SKILL.md4.5 KB

SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

TikTok Audience Insights

Turn real TikTok data into a read on what is working: which videos in your niche are exploding and why, what a competitor is posting, and what your commenters keep saying. The read layer sees actual play counts and comments instead of guessing.

One honest limit: TikTok keeps the list of who liked a video private (only counts). The engagement signal here is commenters + video performance, which is where the niche's questions and objections live.

When to use

  • "What is trending in [niche] on TikTok / analyze this hashtag"
  • "What is [competitor] posting / analyze their profile"
  • "Read the comments on this video"
  • "Which sounds and hooks are working right now"

Not for writing a script (use tt-hook-scripter) or a caption (use tt-caption-writer).

Setup (optional)

The read layer uses Apify (no login). Free token at https://console.apify.com/account/integrations, set APIFY_TOKEN. Video scanning is about $1.70 per 1,000, comments about $0.50 per 1,000. No token? Paste the videos or comments and the skill runs the same analysis.

Input

  • A hashtag (niche scan), a profile (self or competitor), or a video URL (comments)
  • Optional: the goal (trend scan / competitor read / community management)

Output

  1. Niche pulse - top videos for the hashtag ranked by plays, the hooks and sounds behind the winners
  2. Competitor read - a profile's recent videos ranked, the pattern in their hits
  3. Comment read - what commenters keep asking, superfans, comments to reply to or pin
  4. Action list - the hook/sound/format to try, who to engage, which comment to answer on camera

Steps

  1. Pull the data. Niche: lib.ApifyClient().fetch_niche_videos(hashtag, max_items=20). Profile: fetch_profile_videos(username). Comments: fetch_video_comments(video_url). Falls back to pasted data if no token.
  2. Rank by performance. Sort by plays, then engagement rate (likes+comments over plays). Normalize against the author's follower count so a small creator's breakout is not buried under a big account.
  3. Extract the pattern. For the top videos, name the shared hook (first-second shape), the sound, the format (talking-head, text-overlay, skit), and the length. That is the repeatable part.
  4. Note the sounds. Recurring sounds across the top videos are a trend to ride; flag them for tt-trend-mapper.
  5. Read the comments. Cluster into questions, agreement, pushback. Recurring questions become video ideas (answer on camera); pinned/high-like comments show what the room cares about.
  6. Build the action list. Try-this (winning hook + sound), engage (specific commenters), answer-on-camera (a recurring question). Route to tt-hook-scripter / tt-caption-writer.
  7. Deliver the report in the Output shape, with the raw ranked videos attached.

What the read layer exposes

MethodReturns
fetch_niche_videos(hashtag, max_items)top videos for a hashtag: text, plays, likes, comments, shares, author fans, sound
fetch_profile_videos(username, max_items)a profile's recent videos with the same fields
fetch_video_comments(video_url, max_items)comments (the engagement signal, since likers are private)

Hard rules

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

  • Be honest that this reads commenters, not likers (TikTok keeps likers private). Do not imply a full liker roster.
  • Normalize by follower count before calling a video a winner, or you extract "big account" effects, not "good video" effects.
  • Never invent a video, a count, a sound, or a comment. If the data is thin, say so.
  • A pattern (hook or sound) is only a trend if it recurs across several top videos.

Related skills

  • tt-hook-scripter - script a video around the winning hook the data found
  • tt-trend-mapper - ride a sound or format the scan surfaced
  • tt-caption-writer - caption it
  • tt-content-planner - feed the winning patterns into a plan

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

ログインしてレビューを書く

同じリポジトリのスキル

概要と使いどころ

tiktok-marketing

無料

Plan, script, caption, and publish short-form video for TikTok. Use when the user wants to write the first 1-3 second hook (spoken line plus on-screen text), draft a caption under 2,200 chars with TikTok settings and hashtags, ride a trending sound without being cringe, strip AI tells from a spoken script to sound human on camera, or plan a week around completion rate. TikTok is video-only: the user supplies the video, the skills produce the script, caption, and settings, then publish via Publora.

日本語の概要は準備中です。原文の説明を表示しています。

sergebulaev/tiktok-skills702026年10月7日 更新

tt-caption-writer

無料

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).

日本語の概要は準備中です。原文の説明を表示しています。

sergebulaev/tiktok-skills702026年10月7日 更新

tt-content-planner

無料

Build a weekly TikTok posting plan from a niche, audience, and content pillars. Produces per-day picks (hook formula, angle, sound, video length, goal, posting time), a hook-batching schedule so you film several openers in one session, a sound shortlist with the trend window, and a completion-rate goal check. Use for a repeatable posting rhythm instead of ad-hoc videos. Not for scripting one hook (use tt-hook-scripter) or one caption (use tt-caption-writer).

日本語の概要は準備中です。原文の説明を表示しています。

sergebulaev/tiktok-skills702026年10月7日 更新

tt-hook-scripter

無料

Script the first 1-3 second TikTok hook: the spoken line, the on-screen text, and the opening visual firing at once so the viewer cannot swipe. Picks a 2026 hook formula (cold-open result, pattern interrupt, number reveal, open-loop question, relatable call-out, story) by goal of completion, saves, comments, or shares. The single biggest retention lever on TikTok. Use to script a hook from a video idea. Not for the caption (use tt-caption-writer) or scrubbing a script (use tt-humanizer).

日本語の概要は準備中です。原文の説明を表示しています。

sergebulaev/tiktok-skills702026年10月7日 更新

tt-humanizer

無料

Remove the AI-script tells viewers hear in a TikTok spoken script and caption: 2026 vocabulary by density, reveal bridges, staccato stacks, stacked triads, performed sincerity, written-not-spoken phrasing, "hey guys" filler; caps em dashes. Includes --mode audit pre-film check (hook, completion design, caption fit) and --mode profile. Not for beating AI detectors (no edit reliably does). Not for writing from scratch (use tt-hook-scripter). Keywords: humanize script, de-AI, audit before filming.

日本語の概要は準備中です。原文の説明を表示しています。

sergebulaev/tiktok-skills702026年10月7日 更新

tt-profile-optimizer

無料

Audit and rewrite a TikTok profile for 2026: photo, name (searchable), username, bio (80 chars, niche clarity is everything), link (unlocks at 1k followers, plus a pre-1k workaround), up to 3 pinned videos as proof, and one-line positioning. A profile visit follows a video, so the bio must instantly answer "what do I get if I follow". Triggers on "review my TikTok profile", "fix my TikTok bio", "what to pin on TikTok", "profile audit", "niche bio". Not for writing a video script (use tt-hook-scripter).

日本語の概要は準備中です。原文の説明を表示しています。

sergebulaev/tiktok-skills702026年10月7日 更新

sergebulaev のスキルをすべて見る

このスキルの問題を報告する