x-create

# X Create Create viral X posts (short tweets, threads, replies) based on user's persona and post patterns. ## First-Time Setup **Check user profile before creating content:** 1. Read `references/user-profile.md` 2. If `initialized: false` or file doesn't exist → Run onboarding 3. If `initialized: true` → Proceed to content creation ### Onboarding Questions Ask user these questions using AskUserQuestion tool: 1. **账号定位（领域）**: 你的X账号主要分享什么内容？ - Options: AI/科技, 创业/商业, 个人成长, 投资理财, Other 2. **目标受众**: 你的目标读者是谁？ - Options: 中文用户, 英文用户, 双语用户 3. **人设风格**: 你希望塑造什么样的人设？ - Options: 专业严肃, 轻松幽默, 犀利观点, 温暖亲和, Other After collecting answers, update `references/user-profile.md` with `initialized: true`. ## Post Types ### 5 Categories | Type | Style | Use When | Intent Signals (路由线索) | |------|-------|----------|--------------------------| | **高价值干货** | 信息密度高，可收藏 | 教程、工具推荐、方法论 | 目标是收藏/转发；强调可执行清单、工具、步骤 | | **犀利观点** | 有态度有立场 | 行业评论、反常识观点 | 目标是讨论/对立；需要强立场、对比、反常识 | | **热点评论** | 快速反应 | 新闻评论、事件点评 | 目标是蹭热度/抢时效；围绕刚发生事件快速解读 | | **故事洞察** | 个人经历+洞察 | 案例分析、经验复盘 | 目标是共鸣/关注；用具体场景+转折+金句 | | **技术解析** | 深度技术 | 原理讲解、源码分析 | 目标是建立专业度；解释原理、机制、影响与建议 | ### Output Formats 1. **短推文** (≤280 characters) - Single tweet 2. **Thread** (多条串联) - 3-10 tweets connected 3. **评论回复** - For replying to trending posts ## Creation Workflow ### Step 1: Load Context ``` 1. Read references/user-profile.md → Get persona, style 2. (Optional) Read state from ~/.claude/skills/x-create/state/ - liked_topics.json (positive samples) - rejected_topics.json (negative samples) - events.jsonl (optional) 3. Check assets/templates/{type}/ → Look for user reference posts 4. If no references → Use default patterns from references/post-patterns.md ``` ### Step 2: Intent-based Routing Determine intent first, then choose style and format: 1. **Intent → Style (5 categories)** - 收藏/转发导向 → 高价值干货 - 讨论/对立导向 → 犀利观点 - 时效/热点导向 → 热点评论 - 共鸣/关注导向 → 故事洞察 - 专业/技术导向 → 技术解析 2. **Style → Output format** - **Short tweet**: Single insight, quick take, one-liner - **Thread**: Multi-point analysis, step-by-step, detailed breakdown - **Reply**: Designed to respond to specific post/topic If user explicitly provides `--type`, follow it. Otherwise route automatically. ### Step 3: Apply Pattern Read `references/post-patterns.md` for the specific post type pattern. ### Step 4: Generate Content (A/B Variants) Create **two variants** by default: - **Variant A**: More direct, stronger hook, higher contrast - **Variant B**: More structured, more evidence, slightly more neutral Follow: 1. User's persona style 2. Selected post style pattern 3. Reference examples (if available) ### Step 4.5: Humanize Pass（去 AI 味，默认必做） For **each** variant, rewrite the text to sound like a real person on X while keeping meaning and claims unchanged: - Delete filler + chatbot politeness: avoid "当然/希望这对你有帮助/让我们来深入探讨" - Remove grand/marketing tone: avoid "标志着/至关重要/不断演变的格局/彰显/赋能/令人叹为观止" - No vague attribution: avoid "专家认为/行业报告显示" unless you provide a specific source; otherwise rewrite as "我观察到/我的判断是..." - Reduce connective phrases: avoid overusing "此外/然而/因此"; prefer simple sentences and line breaks - Break formula: do not force "三段式"; 2 points is fine; mix short + long sentences - Avoid dash spam: do not stack "——" - Prefer concrete details over empty conclusions; if you are unsure, say it plainly and briefly Thread constraints: - Each tweet must be <= 280 characters - Do not make every tweet identical in structure; allow 1-2 short "pause" lines ### Step 5: Critic (Self-evaluation) + Rewrite Once Score the **humanized** Variant A/B as the target reader (0-10): - Hook strength - Information density / value - Clarity and readability - Credibility (no exaggeration / no made-up facts) - Persona fit - Action likelihood: like / repost / bookmark / reply - "AI 味" control: no empty grand statements, no templated endings, no vague authority Rules: - If **both** Variant A and B score < 7, rewrite **once** (produce A2/B2), then run the **same humanize pass again**, and re-score. - Select the best variant as final output, but still show both drafts. ## Output Format ```markdown # 推文创作 ## 选题 {topic} ## 推文类型 {short_tweet/thread/reply} ## 风格 {post_style} --- ## Drafts ### Variant A {For short tweet: single tweet content} {For thread:} ### 1/N {first tweet} ### 2/N {second tweet} ... ### N/N {final tweet with call to action} **Critic score (0-10)**: {critic_score_a} ### Variant B {For short tweet: single tweet content} {For thread:} ### 1/N {first tweet} ### 2/N {second tweet} ... ### N/N {final tweet with call to action} **Critic score (0-10)**: {critic_score_b} --- ## Selected Selected variant: {A|B|A2|B2} Reason: {one-sentence reason} --- ## 发布建议 - 最佳发布时间: {suggestion} - 配图建议: {image suggestion if applicable} - 预期互动: {engagement prediction} 下一步：运行 /x-publish 发布到草稿箱 ``` Append machine-readable blocks for hooks/state ingestion: ```json CREATE_JSON { "schema_version": "x_skills.create.v1", "topic": "{topic}", "post_type": "short|thread|reply", "post_style": "high-value|sharp-opinion|trending-comment|story-insight|tech-analysis", "variants": [ {"id":"A","critic_score_0_10":0,"text":"..."}, {"id":"B","critic_score_0_10":0,"text":"..."} ], "selected": "A|B|A2|B2", "rewrite_once": true } ``` ```json HOOKS_JSON { "schema_version": "x_skills.hooks.v1", "topic": "{topic}", "hooks": [ {"text":"...","source":"variant.A","tags":["数字|反常识|痛点|悬念|类比"],"score_0_10":0} ] } ``` ## Template Priority 1. **User templates first**: Check `assets/templates/{type}/` 2. **Default patterns**: Use `references/post-patterns.md` Example: ``` Creating 高价值干货 post: 1. Check assets/templates/high-value/ 2. If files exist → Learn style from examples 3. If empty → Use default pattern from post-patterns.md ``` ## Resources ### references/user-profile.md User customization info (shared across all x-skills) ### references/post-patterns.md Default viral post patterns for 5 categories ### assets/templates/ User-provided reference posts organized by type: - `high-value/` - 高价值干货类参考 - `sharp-opinion/` - 犀利观点类参考 - `trending-comment/` - 热点评论类参考 - `story-insight/` - 故事洞察类参考 - `tech-analysis/` - 技术解析类参考 ## Example User: `/x-create Claude 4.5 Opus发布 --type thread` 1. Read user-profile.md → persona: 专业严肃、犀利观点 2. Check assets/templates/tech-analysis/ → empty 3. Read post-patterns.md → Get tech-analysis pattern 4. Generate thread: ``` ### 1/5 Claude 4.5 Opus 上线了。我先说结论：它更像“慢一点，但更稳”的那类模型。 我用 3 个小任务试了下，写个线程记录👇 ### 2/5 我最直观的感受不是“更聪明”，而是更会停下来检查自己。 同一个问题，它更少给“听起来对”的答案。 ### 3/5 三个场景（都不算大项目）： 1) 重构一个旧模块：更愿意先问清边界，再动手改 2) 复杂推理题：会把关键假设写出来（这点很救命） 3) 长文档梳理：更少漏掉前后矛盾的地方 ### 4/5 代价也很现实： - 反应慢一点 - 成本可能更高（看你用的套餐/调用方式） - 你得给它更明确的上下文 ### 5/5 如果你做的是“错一次就很麻烦”的任务（代码、决策、长文整理），值得试。 只是日常闲聊，感知没那么强。你们试过了吗？ ``` ## Integration After creation, suggest: ``` 推文创作完成！ - 类型: {thread/short/reply} - 字数: {word_count} - 预计阅读: {read_time} 下一步：运行 /x-publish 发布到X草稿箱 （反馈闭环，可选） - 采纳并进入正样本： python ~/.claude/skills/x-create/scripts/x_state.py like --topic-json '{"title":"{topic}","selected":"{A|B}","critic_score":8}' - 否决并进入负样本： python ~/.claude/skills/x-create/scripts/x_state.py reject --topic-json '{"title":"{topic}","reason":"low_value"}' - 写入事件（hooks 自动收集也可用）： python ~/.claude/skills/x-create/scripts/x_state.py event --event create.generated --payload-json '{"topic":"{topic}","variants":["A","B"],"selected":"{A|B}"}' ```