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 collect tweets from a specific X (Twitter) handle — full timeline, with replies, or media-only — for KOL research, competitor tracking, or building a tweet dataset.
scripts/build-profile-url.py for chosen mode (tweets/replies/media).scripts/parse-tweets.py.Normalized per-tweet JSON (text, author, engagement, media, hashtags, cursor) ready for export or downstream analysis.
Use Cases
A brand analyst needs to track a competitor's X account weekly. They invoke this skill with the competitor's handle and mode=tweets, letting it scroll and collect all recent posts with engagement metrics. The normalized JSON is exported to a dashboard, showing post frequency and top-performing content — enabling quick competitive insight without manual copying.
A researcher building a KOL dataset uses mode=media to pull only tweets with photos/videos from targeted creators. The skill captures paginated media tweets with URLs and stats, then merges by id. This populates a clean backlog of influencer visual content for later sentiment or trend analysis.
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
Browse this skill's relationships within its skillset. Click a node to switch the side panel; use the search box to jump to any skill.
Skill File