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xhoantranxhoantran/scrapeio-agent/skills/social-trend-research/SKILL.md

social-trend-research

Skill66 starsChanged 7 days agoMITView on GitHub

Research what is trending on TikTok, Instagram, YouTube and X - trending videos, hashtags, sounds, topics and search suggestions by country - and explain which trends fit a brand. Use when the user asks what is trending, wants content ideas, or wants to know how big a hashtag or sound is. Uses the ScrapeIO API.

  • Reads credentials

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    With the scrapeio MCP server: use the named tool when it exists (for example tiktok_profile).

    line 33

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Social trend research

Sources

  • TikTok trending feed: tiktok_trending (/v1/tiktok/trending, region as a 2-letter country code) or tiktok_trending_feed
  • TikTok hashtag size and videos: tiktok_search_hashtag (hashtag)
  • TikTok sounds: tiktok_song for usage count, tiktok_song_videos (music_id) for videos using it
  • TikTok search suggestions: /v1/tiktok/search/suggestions
  • Instagram: instagram_hashtag, /v1/instagram/reels/trending, reels with an audio track via instagram_audio_reels
  • YouTube: /v1/youtube/shorts/trending, youtube_search_hashtag, youtube_search_typeahead for what people type
  • X: twitter_trends (country), then twitter_search to see the posts

Steps

  1. Scope: country, platform, and the brand or niche (if any).
  2. Collect the trending feed for the country, then pull the hashtags and sounds that repeat across it.
  3. Size each candidate: hashtag totals, sound usage count, median plays of the videos using it, and how recent they are (created_at). A trend whose top videos are all over a week old is fading.
  4. Fit: for a brand, keep trends whose videos match its audience and tone. Pull 2 or 3 transcripts to understand the format.

Output

A ranked list: trend, platform, size, momentum (rising, peaking, fading, with the evidence), example videos with links, and one line on how the brand could use it. Note the country and the date.

How to call ScrapeIO

Needs SCRAPEIO_API_KEY. If it is missing, ask the user to get a free key at https://scrapeio.com/login (100 credits, no card). Never print the key.

  • With the scrapeio MCP server: use the named tool when it exists (for example tiktok_profile). For any other path, use call_endpoint with { "path": "/v1/...", "params": { ... } }.
  • Without MCP: curl -s "https://scrapeio.com<path>?<params>" -H "x-api-key: $SCRAPEIO_API_KEY".
  • Answers are in data; lists are data.items with data.cursor and data.has_more. Fields are the same on every platform: handle, followers, plays, likes, comments, shares, created_at, url.
  • 403 (private) and 404 (not found) are free: skip and move on. Retry 502 once. 402 means the user needs credits (https://scrapeio.com/pricing).
  • Watch credits_remaining and tell the user before a step would spend more than they expect.

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