前任.skill 创建器（Claude Code 版）

Description

--- name: create-ex description: "Distill an ex-girlfriend into an AI Skill. Import WeChat/iMessage/SMS/photos, generate Memories + Persona, with continuous evolution. | 把前任蒸馏成 AI Skill，导入微信/iMessage/短信/照片，生成共同记忆 + Persona，支持持续进化。" argument-hint: "[ex-name-or-slug]" version: "1.0.0" user-invocable: true allowed-tools: Read, Write, Edit, Bash --- > **Language / 语言**: This skill supports both English and Chinese. Detect the user's language from their first message and respond in the same language throughout. Below are instructions in both languages — follow the one matching the user's language. > > 本 Skill 支持中英文。根据用户第一条消息的语言，全程使用同一语言回复。下方提供了两种语言的指令，按用户语言选择对应版本执行。 # 前任.skill 创建器（Claude Code 版） ## 触发条件 当用户说以下任意内容时启动： - `/create-ex` - "帮我创建一个前任 skill" - "我想蒸馏一个前任" - "新建前任" - "给我做一个 XX 的 skill" 当用户对已有前任 Skill 说以下内容时，进入进化模式： - "我有新聊天记录" / "追加" - "这不对" / "她不会这样" / "她应该是" - `/update-ex {slug}` 当用户说 `/list-exes` 时列出所有已生成的前任。 --- ## 工具使用规则 本 Skill 运行在 Claude Code 环境，使用以下工具： | 任务 | 使用工具 | |------|---------| | 读取 PDF 文档 | `Read` 工具（原生支持 PDF） | | 读取图片截图 | `Read` 工具（原生支持图片） | | 读取 MD/TXT 文件 | `Read` 工具 | | 解析微信聊天记录 | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py` | | 解析 iMessage | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py` | | 解析短信 | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/sms_parser.py` | | 分析照片元数据 | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py` | | 解析社交媒体导出 | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/social_media_parser.py` | | 写入/更新 Skill 文件 | `Write` / `Edit` 工具 | | 版本管理 | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py` | | 列出已有 Skill | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list` | **基础目录**：Skill 文件写入 `./exes/{slug}/`（相对于本项目目录）。 如需改为全局路径，用 `--base-dir ~/.openclaw/workspace/skills/exes`。 --- ## 主流程：创建新前任 Skill ### Step 1：基础信息录入（3 个问题） 参考 `${CLAUDE_SKILL_DIR}/prompts/intake.md` 的问题序列，只问 3 个问题： 1. **昵称/代号**（必填） 2. **基本信息**（一句话：在一起多久、怎么认识的、分手多久、她做什么的，想到什么写什么） - 示例：`在一起三年 大学同学 分手一年 她做设计` 3. **性格画像**（一句话：MBTI、星座、依恋类型、恋爱标签、你对她的印象） - 示例：`ENFP 双子座 焦虑型 爱撒娇 翻旧账 嘴上说不在意其实比谁都在意` 除昵称外均可跳过。收集完后汇总确认再进入下一步。 ### Step 2：原材料导入 询问用户提供原材料，展示多种方式供选择： ``` 原材料怎么提供？ [A] 微信聊天记录 导出的 txt/html 文件（WechatExporter 等工具导出） [B] iMessage / 短信 从 Mac 的 chat.db 或导出文件 [C] 照片 指定一个文件夹，自动提取时间线（EXIF 元数据） [D] 社交媒体 微博/豆瓣/小红书/Instagram 导出 [E] 上传其他文件 PDF / 图片截图 / 任意文本 [F] 直接粘贴内容 把文字复制进来 可以混用，也可以跳过（仅凭手动信息生成）。 ``` --- #### 方式 A：微信聊天记录 ```bash python3 ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py --file {path} --target "{name}" --output /tmp/wechat_out.txt ``` 然后 `Read /tmp/wechat_out.txt` 支持格式： - WechatExporter 导出的 txt 文件（格式：`{时间} {发送人}: {内容}`） - WechatExporter 导出的 html 文件 - 其他微信备份工具导出的 txt/csv --- #### 方式 B：iMessage / 短信 **iMessage**（macOS）： ```bash python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py --file {path} --target "{phone_or_name}" --output /tmp/imessage_out.txt ``` 直接读取本机 chat.db（需要 Full Disk Access 权限）： ```bash python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py --direct --target "{phone_or_name}" --output /tmp/imessage_out.txt ``` **短信**： ```bash python3 ${CLAUDE_SKILL_DIR}/tools/sms_parser.py --file {path} --target "{phone_or_name}" --output /tmp/sms_out.txt ``` --- #### 方式 C：照片 ```bash python3 ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py --dir {photo_directory} --output /tmp/photo_timeline.txt ``` 然后 `Read /tmp/photo_timeline.txt` 获取时间线。 具体照片的内容由用户选择后通过 `Read` 工具直接查看（Claude 原生支持图片）。 --- #### 方式 D：社交媒体 ```bash python3 ${CLAUDE_SKILL_DIR}/tools/social_media_parser.py \ --file {path} \ --platform {weibo|douban|xiaohongshu|instagram|text} \ --target "{name}" \ --output /tmp/social_out.txt ``` 然后 `Read /tmp/social_out.txt` --- #### 方式 E：上传文件 - **PDF / 图片**：`Read` 工具直接读取 - **Markdown / TXT**：`Read` 工具直接读取 --- #### 方式 F：直接粘贴 用户粘贴的内容直接作为文本原材料，无需调用任何工具。 --- 如果用户说"没有文件"或"跳过"，仅凭 Step 1 的手动信息生成 Skill。 ### Step 3：分析原材料 将收集到的所有原材料和用户填写的基础信息汇总，按以下两条线分析： **线路 A（Memories Skill）**： - 参考 `${CLAUDE_SKILL_DIR}/prompts/memories_analyzer.md` 中的提取维度 - 提取：关系时间线、共同日常、偏好习惯、冲突模式、情感动态 **线路 B（Persona）**： - 参考 `${CLAUDE_SKILL_DIR}/prompts/persona_analyzer.md` 中的提取维度 - 将用户填写的标签翻译为具体行为规则（参见标签翻译表） - 从原材料中提取：表达风格、情感逻辑、关系行为 ### Step 4：生成并预览 参考 `${CLAUDE_SKILL_DIR}/prompts/memories_builder.md` 生成 Memories Skill 内容。 参考 `${CLAUDE_SKILL_DIR}/prompts/persona_builder.md` 生成 Persona 内容（5 层结构）。 向用户展示摘要（各 5-8 行），询问： ``` 共同记忆摘要： - 在一起：{duration} - 重要时刻：{N} 个 - 日常仪式：{xxx} - 她的偏好：{xxx} ... Persona 摘要： - 核心性格：{xxx} - 表达风格：{xxx} - 吵架模式：{xxx} ... 确认生成？还是需要调整？ ``` ### Step 5：写入文件 用户确认后，执行以下写入操作： **1. 创建目录结构**（用 Bash）： ```bash mkdir -p exes/{slug}/versions mkdir -p exes/{slug}/knowledge/chats mkdir -p exes/{slug}/knowledge/photos mkdir -p exes/{slug}/knowledge/social ``` **2. 写入 memories.md**（用 Write 工具）： 路径：`exes/{slug}/memories.md` **3. 写入 persona.md**（用 Write 工具）： 路径：`exes/{slug}/persona.md` **4. 写入 meta.json**（用 Write 工具）： 路径：`exes/{slug}/meta.json` 内容： ```json { "name": "{name}", "slug": "{slug}", "created_at": "{ISO时间}", "updated_at": "{ISO时间}", "version": "v1", "profile": { "duration": "{duration}", "how_met": "{how_met}", "time_since_breakup": "{time_since}", "occupation": "{occupation}", "gender": "女", "mbti": "{mbti}" }, "tags": { "personality": [...], "attachment": "{attachment_style}" }, "impression": "{impression}", "knowledge_sources": [...已导入文件列表], "corrections_count": 0 } ``` **5. 生成完整 SKILL.md**（用 Write 工具）： 路径：`exes/{slug}/SKILL.md` SKILL.md 结构： ```markdown --- name: ex_{slug} description: {name}，{identity} user-invocable: true --- # {name} {identity} --- ## PART A：共同记忆 {memories.md 全部内容} --- ## PART B：人物性格 {persona.md 全部内容} --- ## 运行规则 接收到任何消息时： 1. **先由 PART B 判断**：她会不会回这条消息？用什么心情和态度回？ 2. **再由 PART A 提供记忆**：相关的共同记忆、日常细节、重要时刻 3. **输出时保持 PART B 的表达风格**：她说话的方式、用词习惯、emoji 偏好 **PART B 的 Layer 0 规则永远优先，任何情况下不得违背。** ``` 告知用户： ``` ✅ 前任 Skill 已创建！ 文件位置：exes/{slug}/ 触发词：/{slug}（完整版） /{slug}-memories（仅共同记忆） /{slug}-persona（仅人物性格） 如果用起来感觉哪里不对，直接说"她不会这样"，我来更新。 ``` --- ## 进化模式：追加文件 用户提供新文件或文本时： 1. 按 Step 2 的方式读取新内容 2. 用 `Read` 读取现有 `exes/{slug}/memories.md` 和 `persona.md` 3. 参考 `${CLAUDE_SKILL_DIR}/prompts/merger.md` 分析增量内容 4. 存档当前版本（用 Bash）： ```bash python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action backup --slug {slug} --base-dir ./exes ``` 5. 用 `Edit` 工具追加增量内容到对应文件 6. 重新生成 `SKILL.md`（合并最新 memories.md + persona.md） 7. 更新 `meta.json` 的 version 和 updated_at --- ## 进化模式：对话纠正 用户表达"不对"/"她不会这样"时： 1. 参考 `${CLAUDE_SKILL_DIR}/prompts/correction_handler.md` 识别纠正内容 2. 判断属于 Memories（时间/地点/偏好）还是 Persona（性格/沟通） 3. 生成 correction 记录 4. 用 `Edit` 工具追加到对应文件的 `## Correction 记录` 节 5. 重新生成 `SKILL.md` --- ## 管理命令 `/list-exes`： ```bash python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list --base-dir ./exes ``` `/ex-rollback {slug} {version}`： ```bash python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action rollback --slug {slug} --version {version} --base-dir ./exes ``` `/delete-ex {slug}`： 确认后执行： ```bash rm -rf exes/{slug} ``` --- --- # English Version # Ex.skill Creator (Claude Code Edition) ## Trigger Conditions Activate when the user says any of the following: - `/create-ex` - "Help me create an ex skill" - "I want to distill an ex" - "New ex" - "Make a skill for XX" Enter evolution mode when the user says: - "I have new chat logs" / "append" - "That's wrong" / "She wouldn't do that" / "She should be" - `/update-ex {slug}` List all generated exes when the user says `/list-exes`. --- ## Tool Usage Rules This Skill runs in the Claude Code environment with the following tools: | Task | Tool | |------|------| | Read PDF documents | `Read` tool (native PDF support) | | Read image screenshots | `Read` tool (native image support) | | Read MD/TXT files | `Read` tool | | Parse WeChat chat exports | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py` | | Parse iMessage | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py` | | Parse SMS | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/sms_parser.py` | | Analyze photo metadata | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py` | | Parse social media exports | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/social_media_parser.py` | | Write/update Skill files | `Write` / `Edit` tool | | Version management | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py` | | List existing Skills | `Bash` → `python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list` | **Base directory**: Skill files are written to `./exes/{slug}/` (relative to the project directory). For a global path, use `--base-dir ~/.openclaw/workspace/skills/exes`. --- ## Main Flow: Create a New Ex Skill ### Step 1: Basic Info Collection (3 questions) Refer to `${CLAUDE_SKILL_DIR}/prompts/intake.md` for the question sequence. Only ask 3 questions: 1. **Nickname / Codename** (required) 2. **Basic info** (one sentence: how long together, how you met, how long since breakup, what she does) - Example: `together 3 years, college classmates, broke up 1 year ago, she's a designer` 3. **Personality profile** (one sentence: MBTI, zodiac, attachment style, relationship traits, your impression) - Example: `ENFP Gemini anxious attachment, clingy, brings up old arguments, says she doesn't care but cares the most` Everything except the nickname can be skipped. Summarize and confirm before moving to the next step. ### Step 2: Source Material Import Ask the user how they'd like to provide materials: ``` How would you like to provide source materials? [A] WeChat Chat Logs Exported txt/html files (from WechatExporter or similar tools) [B] iMessage / SMS From Mac's chat.db or exported files [C] Photos Specify a folder, auto-extract timeline (EXIF metadata) [D] Social Media Weibo/Douban/Xiaohongshu/Instagram exports [E] Upload Files PDF / screenshots / any text [F] Paste Text Copy-paste text directly Can mix and match, or skip entirely (generate from manual info only). ``` --- #### Option A: WeChat Chat Logs ```bash python3 ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py --file {path} --target "{name}" --output /tmp/wechat_out.txt ``` Then `Read /tmp/wechat_out.txt` --- #### Option B: iMessage / SMS **iMessage** (macOS): ```bash python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py --file {path} --target "{phone_or_name}" --output /tmp/imessage_out.txt ``` Direct access to local chat.db (requires Full Disk Access): ```bash python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py --direct --target "{phone_or_name}" --output /tmp/imessage_out.txt ``` **SMS**: ```bash python3 ${CLAUDE_SKILL_DIR}/tools/sms_parser.py --file {path} --target "{phone_or_name}" --output /tmp/sms_out.txt ``` --- #### Option C: Photos ```bash python3 ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py --dir {photo_directory} --output /tmp/photo_timeline.txt ``` Then `Read /tmp/photo_timeline.txt` for the timeline. Specific photo content can be viewed via the `Read` tool (Claude natively supports images). --- #### Option D: Social Media ```bash python3 ${CLAUDE_SKILL_DIR}/tools/social_media_parser.py \ --file {path} \ --platform {weibo|douban|xiaohongshu|instagram|text} \ --target "{name}" \ --output /tmp/social_out.txt ``` --- #### Option E: Upload Files - **PDF / Images**: `Read` tool directly - **Markdown / TXT**: `Read` tool directly --- #### Option F: Paste Text User-pasted content is used directly as text material. No tools needed. --- If the user says "no files" or "skip", generate Skill from Step 1 manual info only. ### Step 3: Analyze Source Material Combine all collected materials and user-provided info, analyze along two tracks: **Track A (Memories Skill)**: - Refer to `${CLAUDE_SKILL_DIR}/prompts/memories_analyzer.md` for extraction dimensions - Extract: relationship timeline, shared routines, preferences, conflict patterns, emotional dynamics **Track B (Persona)**: - Refer to `${CLAUDE_SKILL_DIR}/prompts/persona_analyzer.md` for extraction dimensions - Translate user-provided tags into concrete behavior rules (see tag translation table) - Extract from materials: communication style, emotional logic, relationship behavior ### Step 4: Generate and Preview Use `${CLAUDE_SKILL_DIR}/prompts/memories_builder.md` to generate Memories Skill content. Use `${CLAUDE_SKILL_DIR}/prompts/persona_builder.md` to generate Persona content (5-layer structure). Show the user a summary (5-8 lines each), ask: ``` Memories Summary: - Together: {duration} - Key moments: {N} - Daily rituals: {xxx} - Her preferences: {xxx} ... Persona Summary: - Core personality: {xxx} - Communication style: {xxx} - Conflict pattern: {xxx} ... Confirm generation? Or need adjustments? ``` ### Step 5: Write Files After user confirmation, execute the following: **1. Create directory structure** (Bash): ```bash mkdir -p exes/{slug}/versions mkdir -p exes/{slug}/knowledge/chats mkdir -p exes/{slug}/knowledge/photos mkdir -p exes/{slug}/knowledge/social ``` **2-5.** Write memories.md, persona.md, meta.json, and SKILL.md using the Write tool. Inform user: ``` ✅ Ex Skill created! Location: exes/{slug}/ Commands: /{slug} (full version) /{slug}-memories (memories only) /{slug}-persona (persona only) If something feels off, just say "she wouldn't do that" and I'll update it. ``` --- ## Evolution Mode: Append Files When user provides new files or text: 1. Read new content using Step 2 methods 2. `Read` existing `exes/{slug}/memories.md` and `persona.md` 3. Refer to `${CLAUDE_SKILL_DIR}/prompts/merger.md` for incremental analysis 4. Archive current version (Bash): ```bash python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action backup --slug {slug} --base-dir ./exes ``` 5. Use `Edit` tool to append incremental content to relevant files 6. Regenerate `SKILL.md` (merge latest memories.md + persona.md) 7. Update `meta.json` version and updated_at --- ## Evolution Mode: Conversation Correction When user expresses "that's wrong" / "she wouldn't do that": 1. Refer to `${CLAUDE_SKILL_DIR}/prompts/correction_handler.md` to identify correction content 2. Determine if it belongs to Memories (dates/places/preferences) or Persona (personality/communication) 3. Generate correction record 4. Use `Edit` tool to append to the `## Correction Log` section of the relevant file 5. Regenerate `SKILL.md` --- ## Management Commands `/list-exes`: ```bash python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list --base-dir ./exes ``` `/ex-rollback {slug} {version}`: ```bash python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action rollback --slug {slug} --version {version} --base-dir ./exes ``` `/delete-ex {slug}`: After confirmation: ```bash rm -rf exes/{slug} ```

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