agentleFS
TikHubTikHub/tikhub-plugin/skills/hashtag-research/SKILL.md

hashtag-research

Skill7 starsChanged 5 months agoMITView on GitHub

Research a hashtag or keyword — volume/popularity signals, top and recent content, and related hashtags — on TikTok, Douyin, Instagram, Xiaohongshu, and more. Use when the user asks "research #hashtag", "how big is this hashtag", "related tags", "best hashtags for X", or wants content ideas around a tag.

  • Reads credentials

The file

Files
SKILL.md

Hashtag Research

Assess a hashtag/keyword and surface its top content and related tags.

Setup gate

[ -z "${TIKHUB_API_KEY:-}" ] && echo "Set TIKHUB_API_KEY first (see tikhub-onboarding)."

Workflow

  1. Pick platform(s) and the hashtag/keyword.
  2. Pull signals + content:
    • TikTok: ads/get_trends_hashtag_detail (hashtag_id) and ads/get_trends_hashtag_list; pull videos under a hashtag with app/v3/fetch_hashtag_video_list (ch_id).
    • Douyin: search/fetch_general_search_v2 (POST) for hashtag/keyword content.
    • Instagram: v2/search_hashtags + v2/fetch_hashtag_posts.
    • Xiaohongshu: app_v2/search_notes (keyword).
    • Discover exact paths: tikhub-find-endpoint "hashtag" --platform <slug>.
  3. Summarize: estimated popularity/volume, top posts (engagement), recent momentum, and a list of related/co-occurring hashtags pulled from the top posts.
  4. Recommend a tag set for the user's niche.

Cost awareness

Detail/list calls are 1 each; pulling top-posts pages multiplies calls. Cap and warn for deep pulls.

Verification gate

  1. Hashtag resolved (or clearly report "no data / low volume").
  2. Top posts are actually tagged with the hashtag.
  3. Related tags derived from real co-occurrence, not guessed.

Red flags

  • Inventing volume numbers — only report what the API returns; otherwise say "not available".
  • Recommending banned/irrelevant tags.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.