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 wants to search X (Twitter) by free-form advanced query — keyword, hashtag, date range, verified filter, geo, etc. — and collect normalized tweet data at scale.
scripts/build-search-url.py encoding all filters into X advanced syntax.SearchTimeline request.scripts/parse-tweets.py into normalized JSON.cursor_bottom auto-fed; stop on count 0 / cursor stall / target reached.A structured tweet list with text, author profile, engagement counts, media, hashtags, mentions, and pagination cursors — ready for brand monitoring, sentiment analysis, or KOL harvesting.
Use Cases
A brand manager wants to track mentions of their product on X over the past week. They use this skill with a query like `"product name" since:2024-01-01 until:2024-01-07 -filter:retweets`, set sort to Latest, and collect up to 500 tweets. The skill returns structured data with sentiment-ready text and author profiles, enabling quick weekly PR reports and competitor mention comparison without manual scrolling.
A researcher studying crypto discourse uses the skill to harvest KOL tweets by query `crypto lang:en min_faves:1000 filter:blue_verified` with Top sort. Pagination captures 2000 tweets across sessions. Output JSON feeds their ML pipeline for influence mapping and topic trend analysis, saving dozens of hours versus manual collection from X web UI.
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