What problem does it solve?
Writing quote posts that sound like a specific person rather than generic AI commentary is hard, and manually reviewing X bookmarks plus studying a user's posting history is slow. This Skill automates the collection of recent X bookmarks, calibrates against the user's latest 100 authored posts, and produces source-backed quote-post drafts in a dated queue file.
Core Features & Use Cases
- Voice Calibration: Analyzes the user's latest 100 authored posts (standalone, replies, and quote posts) to build a voice ledger covering length, cadence, openings, and recurring moves.
- Bookmark Collection: Gathers 12-20 source-backed candidates from the X bookmarks feed within a configurable time window, defaulting to the last 30 days.
- Dated Draft Queue: Writes 7-10 ranked drafts into a dated Markdown file with Best Picks and Secondary Picks, then commits the change to the content repo.
- Use Case: A founder asks their agent to refresh their bookmark quote queue; the agent reads their recent posts, reviews saved bookmarks, and delivers five ready-to-hone quote tweets with source links and a revision table.
Quick Start
Ask your agent to use the x-bookmark-quote-posts skill to review your latest X bookmarks and draft quote posts calibrated against your last 100 authored posts.