create-ex

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.

This Skill supports both Chinese and English. Based on the language of the user's first message, use the same language throughout the reply. Instructions in both languages are provided below; select the corresponding version according to the user's language.

Ex.skill Creator (Claude Code version)

Trigger Conditions

Start when the user says any of the following:

/create-ex
"Help me create an ex skill"
"I want to distill an ex"
"Create a new ex"
"Make me a skill for XX"

When the user says the following to an existing ex Skill, enter evolution mode:

"I have new chat logs" / "Append"
"This is wrong" / "She wouldn't do this" / "She should be"
/update-ex {slug}

When the user says /list-exes list all generated exes.

Tool Usage Rules

This Skill runs in the Claude Code environment and uses the following tools:

Task	Tool Used
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 logs	`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 this project directory). To change to a global path, use --base-dir ~/.openclaw/workspace/skills/exes。

Main Flow: Create a New Ex Skill

Step 1: Basic Information Entry (3 questions)

Refer to ${CLAUDE_SKILL_DIR}/prompts/intake.md question sequence, ask only 3 questions:

Nickname/codename(required)
Basic information(one sentence: how long you were together, how you met, how long since the breakup, what she does, write whatever comes to mind)
- Example:在一起三年大学同学分手一年她做设计
Personality profile(one sentence: MBTI, zodiac sign, attachment type, relationship labels, your impression of her)
- Example: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

Everything except the nickname can be skipped. After collecting, summarize and confirm before proceeding to the next step.

Step 2: Raw Material Import

Ask the user to provide raw materials, showing multiple options to choose from:

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）。

Option A: WeChat chat logs

python3 ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py --file {path} --target "{name}" --output /tmp/wechat_out.txt

Then Read /tmp/wechat_out.txt

Supported formats:

txt files exported by WechatExporter (format:{时间} {发送人}: {内容}）
html files exported by WechatExporter
txt/csv exported by other WeChat backup tools

Option B: iMessage / SMS

iMessage（macOS）：

python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py --file {path} --target "{phone_or_name}" --output /tmp/imessage_out.txt

Directly read the local chat.db (requires Full Disk Access permission):

python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py --direct --target "{phone_or_name}" --output /tmp/imessage_out.txt

SMS：

python3 ${CLAUDE_SKILL_DIR}/tools/sms_parser.py --file {path} --target "{phone_or_name}" --output /tmp/sms_out.txt

Option C: Photos

python3 ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py --dir {photo_directory} --output /tmp/photo_timeline.txt

Then Read /tmp/photo_timeline.txt to get the timeline.

The content of specific photos is selected by the user and then passed through Read Directly view with tools (Claude natively supports images).

Method D: Social media

python3 ${CLAUDE_SKILL_DIR}/tools/social_media_parser.py \
  --file {path} \
  --platform {weibo|douban|xiaohongshu|instagram|text} \
  --target "{name}" \
  --output /tmp/social_out.txt

Then Read /tmp/social_out.txt

Method E: Upload files

PDF / Images：Read Read directly with tools
Markdown / TXT：Read Read directly with tools

Method F: Direct paste

Content pasted by the user is directly used as raw text material, no tools need to be called.

If the user says "no files" or "skip", generate the Skill based only on the manual information from Step 1.

Step 3: Analyze raw material

Aggregate all collected raw material and the basic information filled in by the user, and analyze along the following two lines:

Line A (Memories Skill)：

Refer to ${CLAUDE_SKILL_DIR}/prompts/memories_analyzer.md the extraction dimensions in
Extract: relationship timeline, shared daily life, preferences and habits, conflict patterns, emotional dynamics

Line B (Persona)：

Refer to ${CLAUDE_SKILL_DIR}/prompts/persona_analyzer.md the extraction dimensions in
Translate the tags filled in by the user into specific behavior rules (see the tag translation table)
Extract from the raw material: expression style, emotional logic, relationship behavior

Step 4: Generate and preview

Refer to ${CLAUDE_SKILL_DIR}/prompts/memories_builder.md to generate the Memories Skill content. Refer to ${CLAUDE_SKILL_DIR}/prompts/persona_builder.md to generate the Persona content (5-layer structure).

Show the user a summary (5-8 lines each), and ask:

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: Write files

After the user confirms, perform the following write operations:

1. Create the directory structure(use 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. Write memories.md(use the Write tool): Path:exes/{slug}/memories.md

3. Write persona.md(use the Write tool): Path:exes/{slug}/persona.md

4. Write meta.json(use the Write tool): Path:exes/{slug}/meta.json Content:

{
  "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. Generate the complete SKILL.md(use the Write tool): Path:exes/{slug}/SKILL.md

SKILL.md structure:

---
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。**

Inform the user:

✅ 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。

Evolution mode: Append files

When the user provides new files or text:

Read the new content as in Step 2
Use Read to read the existing exes/{slug}/memories.md and persona.md
Refer to ${CLAUDE_SKILL_DIR}/prompts/merger.md to analyze the incremental content

Archive the current version (use Bash):

python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action backup --slug {slug} --base-dir ./exes

Use the Edit tool to append the incremental content to the corresponding file
Regenerate SKILL.md(merge the latest memories.md + persona.md)
Update meta.json 's version and updated_at

Evolution mode: Conversational correction

When the user expresses "that's wrong"/"she wouldn't do that":

Refer to ${CLAUDE_SKILL_DIR}/prompts/correction_handler.md to identify the correction content
Determine whether it belongs to Memories (time/place/preferences) or Persona (personality/communication)
Generate a correction record
Use the Edit tool to append to the corresponding file's ## Correction 记录 section
Regenerate SKILL.md

Management commands

/list-exes：

python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list --base-dir ./exes

/ex-rollback {slug} {version}：

python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action rollback --slug {slug} --version {version} --base-dir ./exes

/delete-ex {slug}: Execute after confirmation:

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:

Nickname / Codename (required)
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
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

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):

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):

python3 ${CLAUDE_SKILL_DIR}/tools/imessage_parser.py --direct --target "{phone_or_name}" --output /tmp/imessage_out.txt

SMS:

python3 ${CLAUDE_SKILL_DIR}/tools/sms_parser.py --file {path} --target "{phone_or_name}" --output /tmp/sms_out.txt

Option C: Photos

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

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):

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:

Read new content using Step 2 methods
Read existing exes/{slug}/memories.md and persona.md
Refer to ${CLAUDE_SKILL_DIR}/prompts/merger.md for incremental analysis

Archive current version (Bash):

python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action backup --slug {slug} --base-dir ./exes

Use Edit tool to append incremental content to relevant files
Regenerate SKILL.md (merge latest memories.md + persona.md)
Update meta.json version and updated_at

Evolution Mode: Conversation Correction

When user expresses "that's wrong" / "she wouldn't do that":

Refer to ${CLAUDE_SKILL_DIR}/prompts/correction_handler.md to identify correction content
Determine if it belongs to Memories (dates/places/preferences) or Persona (personality/communication)
Generate correction record
Use Edit tool to append to the ## Correction Log section of the relevant file
Regenerate SKILL.md

Management Commands

/list-exes:

python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list --base-dir ./exes

/ex-rollback {slug} {version}:

python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action rollback --slug {slug} --version {version} --base-dir ./exes

/delete-ex {slug}: After confirmation:

rm -rf exes/{slug}

About this skill

Trigger Conditions

Tool Usage Rules

Main Flow: Create a New Ex Skill

Step 1: Basic Information Entry (3 questions)

Step 2: Raw Material Import

Option A: WeChat chat logs

Option B: iMessage / SMS

Option C: Photos

Method D: Social media

Method E: Upload files

Method F: Direct paste

Step 3: Analyze raw material

Step 4: Generate and preview

Step 5: Write files

Evolution mode: Append files

Evolution mode: Conversational correction

Management commands

Trigger Conditions

Tool Usage Rules

Main Flow: Create a New Ex Skill

Step 1: Basic Info Collection (3 questions)

Step 2: Source Material Import

Option A: WeChat Chat Logs

Option B: iMessage / SMS

Option C: Photos

Option D: Social Media

Option E: Upload Files

Option F: Paste Text

Step 3: Analyze Source Material

Step 4: Generate and Preview

Step 5: Write Files

Evolution Mode: Append Files

Evolution Mode: Conversation Correction

Management Commands