Domains
Forms
Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When a user asks to search Threads posts by keyword or hashtag, monitor Threads topic/hashtag activity, or collect Threads content for social listening.
https://www.threads.com/search/?q={keyword}&serp_type={filter} via browser-actpython scripts/extract-search-results.py to parse embedded JSONtop/recent sort; hashtag via %23 prefix; no login needed (≈17-18 results)Structured JSON of matching posts with id, text, user, like/reply/repost counts, and media type — ready for trend monitoring, KOL discovery, or content research.
Use Cases
A brand manager wants to track mentions of their product name on Threads. They use this skill to run keyword searches (top/recent), collecting up to 17-18 public posts per query with like/reply counts. The structured output helps them gauge sentiment, identify vocal users, and spot potential PR issues early — all without writing scrapers or logging in.
A social media analyst researching a hashtag campaign uses this skill to pull top posts under a tag like #AI. By extracting author profiles and engagement metrics, they discover influential creators and trending angles. Batch orchestration across related tags yields a broad view of conversation leaders for partnership outreach.
Skill Relationships
Dependency relationships read as "the upper tier points to the lower tier." The current Skill sits in the middle tier — above are Skills that depend on it, below are Skills it depends on.
Tier 1 · These Skills Use Me
Tier 2 · Current Skill
Tier 3 · I Use These Skills
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Skill File