審查提供的 X 分析資料，找出同一帳號的離群值，執行每週回顧，並為有效內容規劃 5 個以上的版本。僅分析提供的資料，絕不進行爬取。
此技能專為 X（原 Twitter）內容創作者與行銷人員設計，可對使用者提供的分析資料進行深度審計與每週回顧。它會自動區分原始貼文與回覆，並透過計算同一帳號的中位數（排除當前評判的貼文）來識別表現異常的離群值。若可使用 `scripts/compare.py` 腳本，它會自動執行 CSV 分析；否則會提供手動計算的指引。當基線數據過小或為零時，技能會主動放棄不分析。最終，它會產出完整的計分板、頂尖貼文、帶有單行假說的離群值、失敗案例、內容類型混合檢查、回覆清單筆記，以及五個以上基於成功內容的新版本規劃，並將新草稿導向 `x-post`。此技能支援 Claude Code、Cursor 等平台，完全依賴使用者提供的資料，絕不進行爬取。
npx skills add https://github.com/BlazingInterwebs/x-agent-skills/tree/HEAD/skills/x-auditInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
This repo contains 4 individual skills — each has its own dedicated page.
Build a reply list and draft replies and quote posts on other people's X posts, including bigger accounts and peers, to grow a network. Does not like, follow, post, or DM.
Revise X drafts so they sound like the user, removing hype, generic AI phrasing, bait asks, and banned punctuation while keeping meaning and authentic vocabulary. Does not score AI authorship.
Draft X long posts, threads, and X Articles when an idea needs more than one short post. Chooses the format, structures it, and writes titles and openings. Does not publish.
Plan a sustainable X routine, including a daily 30 to 45 minute hand-posting rhythm, a weekly content rotation, posting time, and a weekly review. Does not schedule or publish.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.