审查用户提供的 X 分析数据，查找同一账号内的异常值，执行周度回顾，并基于有效内容规划 5 个新版本。仅分析用户提供的数据，不进行网页抓取。
这是一个针对 X（原 Twitter）社交媒体账号的审计与周度回顾技能。它专门分析用户手动粘贴或导出的分析数据，不会主动抓取网页内容。技能的核心功能包括：分离原创帖与回复帖、计算同一账号的中位数（排除被评估的帖子）、运行脚本或手动计算检测异常值，并生成包含得分板、热门帖子、异常值及其单行假设、失败帖、混合检查、回复列表笔记以及“5 个新版本”计划的综合报告。该技能禁止将单篇帖子的增长归因于净周增长，并确保在基线数据过小或为零时放弃评估。主要支持 CSV 格式的数据输入，并通过脚本（`scripts/compare.py`）或手动方式完成统计分析。
npx skills add https://github.com/BlazingInterwebs/x-agent-skills/tree/HEAD/skills/x-auditInstalled? Explore more 研究与数据分析 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.