起草 X 长帖、主题帖和 X 文章，适用于需要超过一条短帖的想法。自动选择格式、组织结构并撰写标题和开头。不发布内容。
该技能专为需要撰写超过一条短帖的 X 平台内容而设计，可自动选择最合适的格式（长帖、主题帖或 X 文章），并生成完整的草稿。它根据用户想法的复杂程度和平台订阅限制，智能推荐格式：长帖将所有互动集中在一个帖子上；主题帖适合可拆分的独立步骤；X 文章则适用于与故事章节或长视频关联的深度内容。技能还会提供标题、开头段落、替代方案以及封面图片简述（针对文章），但不会自动发布内容。它支持在 Claude Code、Cursor、VS Code LM 等 AI 编码工具中使用，遵循专业的社交媒体写作最佳实践，如使用短段落、列表和好奇心缺口来保持可读性。
npx skills add https://github.com/BlazingInterwebs/x-agent-skills/tree/HEAD/skills/x-longformInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
请阅读 运行时、界面 和 长文模式。对于故事章节，使用 增长；对于客户材料，使用 隐私。
确认想法需要篇幅。长帖将所有互动集中在一个条目上。主题帖适合可拆分的独立步骤，每个帖子可以单独存在。X 文章适用于与故事章节或长视频关联的深度内容。请检查用户是否拥有该格式所需的订阅，不要假设。
开头（或标题）是一个清晰且无歧义的承诺。使其易于浏览：使用短段落、换行、列表（如有帮助）。好奇心缺口应在文中兑现，绝不使用“更多内容在回复中”。链接应附上上下文说明其指向的内容。
返回草稿、所选格式及理由、一个替代开头，以及用户需要确认的任何事项。对于文章，添加一行封面图片简述。将简短版本路由到 x-post，或复用计划到 x-repurpose。
This repo contains 4 individual skills — each has its own dedicated page.
Review supplied X analytics, find same-account outliers, run the weekly review, and plan 5 more versions of what worked. Analyzes only supplied data; never scrapes.
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.
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.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors