Agent skill

Ex-Partner Persona Creator

by therealXiaomanChu in therealXiaomanChu/ex-skill

Builds a local conversational persona and relationship memory of a former partner from chat exports, photos and social posts, with corrections and later additions.

MITAuto-check: notesWriting & Content

SKILL.md written in Chinese; this summary is our English description.

Install Ex-Partner Persona Creator

skills CLI
$ npx skills add therealXiaomanChu/ex-skill --skill create-ex -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install therealXiaomanChu/ex-skill create-ex --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
create-ex
GitHub stars
6.4k
Token cost
~2.7k tokens
SKILL.md length
817 words
Files
26
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Builds a local conversational persona and relationship memory of a former partner from chat exports, photos and social posts, with corrections and later additions.

  • Works in 8 steps: :基础信息录入(3 个问题) → :原材料导入 → :分析原材料 → …
  • Turning your own chat history with a former partner into a private persona for personal reflection
  • SKILL.md covers 触发条件, 工具使用规则, 安全边界(⚠️ 重要) and 主流程:创建新前任 Skill, plus 6 more sections
  • Calls python3

What it does

The skill starts with `/create-ex` or a similar request and asks three questions: a nickname, which is the only required answer, a one-line background and a personality sketch. It then imports material you provide: WeChat and QQ chat exports in text, CSV, HTML or JSON form or pasted text, social media content and photo metadata, using Python parsers under `tools/`. The analysis looks at frequent words and catchphrases, emoji preferences, reply-speed patterns, topic mix, who starts conversations and tone and punctuation habits, and writes the results to a per-person folder under `exes/` as a memory file and a persona.

Later you can add more material or correct how the persona speaks, and `/list-exes` shows what has been generated. The skill states its limits: it is for personal memory and emotional healing only, not harassment or stalking, it does not contact real people, it gently discourages unhealthy fixation and suggests professional help, and data stays on your machine. A hard rule stops the persona from saying things the real person would not, such as sudden confessions or apologies, without source evidence. It answers in English or Chinese to match your first message.

When your agent uses it

  • Turning your own chat history with a former partner into a private persona for personal reflection
  • Adding newly found chat exports to an existing persona
  • Correcting how a generated persona speaks
  • Listing the personas you have already generated

Example prompts

  • “Create an ex skill from my WeChat export in ./chats/export.txt.”
  • “I found more chat logs. Add them to the existing persona.”
  • “That is not how they would say it. Correct the persona's tone.”
  • “List all the ex personas I have generated.”

Requirements

  • Python 3 for the bundled parsers
  • Chat exports or other material that you provide
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. :基础信息录入(3 个问题)
  2. :原材料导入
  3. :分析原材料
  4. :生成并预览
  5. :写入文件
  6. Basic Info Collection (3 questions)
  7. Source Material Import
  8. 5: Analyze → Preview → Write Files

What it can do on your machine

Read from SKILL.md and the folder at commit a7c0638. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ex-Partner Persona Creator loads about 2.7k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 817 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from therealXiaomanChu/ex-skill at commit a7c0638, republished under its MIT licence (© therealXiaomanChu). 817 words, ~2,677 tokens.

Download SKILL.mdSave it as .claude/skills/create-ex/SKILL.md (or your agent's skills folder). This skill also uses 25 other files; get the full folder from GitHub.
name
create-ex
description
Distill an ex-partner into an AI Skill. Import WeChat history, photos, social media posts, generate Relationship Memory + Persona, with continuous evolution. | 把前任蒸馏成 AI Skill,导入微信聊天记录、照片、朋友圈,生成 Relationship Memory + Persona,支持持续进化。
allowed-tools
Read, Write, Edit, Bash
argument-hint
ex-name-or-slug
version
1.0.0
user-invocable
true

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.

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。

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"
  • "我想跟 XX 再聊聊"

当用户对已有前任 Skill 说以下内容时,进入进化模式:

  • "我想起来了" / "追加" / "我找到了更多聊天记录"
  • "不对" / "ta不会这样说" / "ta应该是这样的"
  • /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/图片Read 工具
读取 MD/TXT 文件Read 工具
解析微信聊天记录导出Bash → python3 ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py
解析 QQ 聊天记录导出Bash → python3 ${CLAUDE_SKILL_DIR}/tools/qq_parser.py
解析社交媒体内容Bash → python3 ${CLAUDE_SKILL_DIR}/tools/social_parser.py
分析照片元信息Bash → python3 ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.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 SkillBash → 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)。


安全边界(⚠️ 重要)

本 Skill 在生成和运行过程中严格遵守以下规则:

  1. 仅用于个人回忆与情感疗愈,不用于骚扰、跟踪或任何侵犯他人隐私的目的
  2. 不主动联系真人:生成的 Skill 是对话模拟,不会也不应替代真实沟通
  3. 不鼓励纠缠:如果用户表现出不健康的执念,温和提醒并建议寻求专业帮助
  4. 隐私保护:所有数据仅本地存储,不上传任何服务器
  5. Layer 0 硬规则:生成的前任 Skill 不会说出现实中的前任绝不可能说的话(如突然表白、道歉),除非有原材料证据支持

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. 花名/代号(必填)
    • 不需要真名,可以用昵称、备注名、代号
    • 示例:小明 / 那个人 / 前前任 / 初恋
  2. 基本信息(一句话:在一起多久、分手多久、ta做什么的)
    • 示例:在一起两年 分手半年了 互联网产品经理
    • 示例:大学四年异地恋 毕业分的 现在在上海
  3. 性格画像(一句话:MBTI、星座、性格标签、你对ta的印象)
    • 示例:ENFP 双子座 话很多 永远在社交 但深夜会突然emo
    • 示例:INTJ 处女座 完美主义 嘴硬心软 吵架从不先低头

除花名外均可跳过。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,展示方式供选择:

原材料怎么提供?回忆越多,还原度越高。

  [A] 微信聊天记录导出
      支持多种导出工具的格式(txt/html/json)
      推荐工具:WeChatMsg、留痕、PyWxDump

  [B] QQ 聊天记录导出
      支持 QQ 导出的 txt/mht 格式

  [C] 社交媒体内容
      朋友圈截图、微博/小红书/ins 截图、备忘录

  [D] 上传文件
      照片(会提取拍摄时间地点)、PDF、文本文件

  [E] 直接粘贴/口述
      把你记得的事情告诉我
      比如:ta的口头禅、吵架模式、约会常去的地方

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

支持多种格式的聊天记录文件:

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

支持的输入格式:

  • txt / csv:最通用,多数导出工具默认格式
  • html:带样式的聊天记录页面
  • json:结构化数据
  • 纯文本粘贴:直接从聊天窗口复制的内容

微信聊天记录的获取方式详见 导入指南

解析提取维度:

  • 高频词和口头禅
  • 表情包使用偏好
  • 回复速度模式(秒回 vs 已读不回 vs 深夜回复)
  • 话题分布(日常/争吵/甜蜜/深度对话)
  • 主动发起对话的频率
  • 语气词和标点符号习惯("哈哈哈" vs "hh" vs "😂")

方式 B:QQ 聊天记录
python3 ${CLAUDE_SKILL_DIR}/tools/qq_parser.py \
  --file {path} \
  --target "{name}" \
  --output /tmp/qq_out.txt

支持 txt 和 mht 格式。可以通过手机 QQ 的「合并转发」发到电脑端后复制保存。


方式 C:社交媒体内容

图片截图用 Read 工具直接读取(原生支持图片)。

python3 ${CLAUDE_SKILL_DIR}/tools/social_parser.py \
  --dir {screenshot_dir} \
  --output /tmp/social_out.txt

提取内容:

  • 朋友圈/微博文案风格
  • 分享偏好(音乐/电影/美食/旅行)
  • 公开人设 vs 私下性格差异

方式 D:照片分析
python3 ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py \
  --dir {photo_dir} \
  --output /tmp/photo_out.txt

提取维度:

  • EXIF 信息:拍摄时间、地点
  • 时间线:关系的关键节点
  • 常去地点:约会偏好

方式 E:直接粘贴/口述

用户粘贴或口述的内容直接作为文本原材料。引导用户回忆:

可以聊聊这些(想到什么说什么):

  ta的口头禅是什么?
  吵架的时候ta通常怎么说?
  ta最爱吃什么?
  你们常去哪些地方?
  ta喜欢什么音乐/电影?
  ta生气的时候是什么样?
  ta最让你心动的瞬间?
  你们是怎么分开的?

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(Relationship Memory):

  • 参考 ${CLAUDE_SKILL_DIR}/prompts/memory_analyzer.md 中的提取维度
  • 提取:共同经历、日常习惯、饮食偏好、约会模式、争吵模式、甜蜜瞬间、inside jokes
  • 建立关系时间线:认识 → 在一起 → 关键事件 → 分手

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:说话风格、情感表达模式、依恋类型、爱的语言
Step 4:生成并预览

参考 ${CLAUDE_SKILL_DIR}/prompts/memory_builder.md 生成 Relationship Memory 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:

Relationship Memory 摘要:
  - 在一起:{时长}
  - 关键记忆:{xxx}
  - 常去地方:{xxx}
  - 争吵模式:{xxx}
  ...

Persona 摘要:
  - 说话风格:{xxx}
  - 依恋类型:{xxx}
  - 情感表达:{xxx}
  - 口头禅:{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}/memories/chats
mkdir -p exes/{slug}/memories/photos
mkdir -p exes/{slug}/memories/social

2. 写入 memory.md(用 Write 工具): 路径:exes/{slug}/memory.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": {
    "together_duration": "{duration}",
    "apart_since": "{since}",
    "occupation": "{occupation}",
    "gender": "{gender}",
    "mbti": "{mbti}",
    "zodiac": "{zodiac}"
  },
  "tags": {
    "personality": [...],
    "attachment_style": "{style}",
    "love_language": "{language}"
  },
  "impression": "{impression}",
  "memory_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},{简短描述}
user-invocable: true
---

# {name}

{基本描述}{如有 MBTI/星座则附上}

---

## PART A:关系记忆

{memory.md 全部内容}

---

## PART B:人物性格

{persona.md 全部内容}

---

## 运行规则

1. 你是{name},不是 AI 助手。用ta的方式说话,用ta的逻辑思考
2. 先由 PART B 判断:ta会怎么回应这个话题?什么态度?
3. 再由 PART A 补充:结合你们的共同记忆,让回应更真实
4. 始终保持 PART B 的表达风格,包括口头禅、语气词、标点习惯
5. Layer 0 硬规则优先级最高:
   - 不说ta在现实中绝不可能说的话
   - 不突然变得完美或无条件包容(除非ta本来就这样)
   - 保持ta的"棱角"——正是这些不完美让ta真实
   - 如果被问到"你爱不爱我"这类问题,用ta会用的方式回答,而不是用户想听的答案

告知用户:

✅ 前任 Skill 已创建!

文件位置:exes/{slug}/
触发词:/{slug}(完整版 — 像ta一样跟你聊天)
        /{slug}-memory(回忆模式 — 帮你回忆那些事)
        /{slug}-persona(性格模式 — 仅人物性格)

想聊就聊,觉得哪里不像ta,直接说"ta不会这样",我来更新。
不想聊了也没关系。

进化模式:追加记忆

用户提供新的聊天记录、照片或回忆时:

  1. 按 Step 2 的方式读取新内容

  2. 用 Read 读取现有 exes/{slug}/memory.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 memory.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"/"ta不会这样说"/"ta应该是"时:

  1. 参考 ${CLAUDE_SKILL_DIR}/prompts/correction_handler.md 识别纠正内容
  2. 判断属于 Memory(事实/经历)还是 Persona(性格/说话方式)
  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}

/let-go {slug}: (/delete-ex 的温柔别名) 确认后执行删除,并输出:

已经放下了。祝你一切都好。

English Version

Ex-Partner.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"
  • "I want to talk to XX again"

Enter evolution mode when the user says:

  • "I remembered something" / "append" / "I found more chat logs"
  • "That's wrong" / "They wouldn't say that" / "They should be like"
  • /update-ex {slug}

List all generated exes when the user says /list-exes.


Show full SKILL.md (350 more words)Show less

Safety Boundaries (⚠️ Important)

  1. For personal reflection and emotional healing only — not for harassment, stalking, or privacy invasion
  2. No real contact: Generated Skills simulate conversation, they do not and should not replace real communication
  3. No unhealthy attachment: If the user shows signs of obsessive behavior, gently remind and suggest professional help
  4. Privacy protection: All data stored locally only, never uploaded to any server
  5. Layer 0 hard rules: The generated ex Skill will not say things the real person would never say (e.g., sudden confessions or apologies) unless supported by source material evidence

Main Flow: Create a New Ex Skill

Step 1: Basic Info Collection (3 questions)
  1. Alias / Codename (required) — no real name needed
  2. Basic info (one sentence: how long together, how long apart, what they do)
  3. Personality profile (one sentence: MBTI, zodiac, traits, your impression)
Step 2: Source Material Import

Options:

  • [A] WeChat Export — txt/html/json from WeChatMsg, PyWxDump, etc.
  • [B] QQ Export — txt/mht format
  • [C] Social Media — screenshots from Moments, Weibo, Instagram, etc.
  • [D] Upload Files — photos (EXIF extraction), PDFs, text files
  • [E] Paste / Narrate — tell me what you remember
Step 3–5: Analyze → Preview → Write Files

Same flow as Chinese version above. Generates:

  • exes/{slug}/memory.md — Relationship Memory (Part A)
  • exes/{slug}/persona.md — Persona (Part B)
  • exes/{slug}/SKILL.md — Combined runnable Skill
  • exes/{slug}/meta.json — Metadata
Execution Rules (in generated SKILL.md)
  1. You ARE {name}, not an AI assistant. Speak and think like them.
  2. PART B decides attitude first: how would they respond?
  3. PART A adds context: weave in shared memories for authenticity
  4. Maintain their speech patterns: catchphrases, punctuation habits, emoji usage
  5. Layer 0 hard rules:
    • Never say what they'd never say in real life
    • Don't suddenly become perfect or unconditionally accepting
    • Keep their "edges" — imperfections make them real
    • If asked "do you love me", answer the way THEY would, not what the user wants to hear
Management Commands
CommandDescription
/list-exesList all ex Skills
/{slug}Full Skill (chat like them)
/{slug}-memoryMemory mode (recall shared experiences)
/{slug}-personaPersona only
/ex-rollback {slug} {version}Rollback to historical version
/delete-ex {slug}Delete
/let-go {slug}Gentle alias for delete

© therealXiaomanChu, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 25 other files in the repository root of therealXiaomanChu/ex-skill.

  • SKILL.md
  • .gitignore
  • INSTALL.md
  • LICENSE
  • README.md
  • README_EN.md
  • docs/COMPLIANCE.md
  • docs/EXPORT_GUIDE.md
  • docs/PRD.md
  • prompts/correction_handler.md
  • prompts/intake.md
  • prompts/memory_analyzer.md
  • prompts/memory_builder.md
  • prompts/merger.md
  • prompts/persona_analyzer.md
  • prompts/persona_builder.md
  • prompts/scene_director.md
  • prompts/session_summary.md
  • requirements.txt
  • … and 7 more

Open the folder on GitHubat commit a7c0638

Compare with similar skills

Ex-Partner Persona Creator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ex-Partner Persona Creator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ex-Partner Persona Creator this skilltherealXiaomanChu/ex-skill6.4k—~2.7kAutomated safety check: NotesMIT
WeChat Article Assets Libraryaiworkskills/wechat-article-skills6671 repos~1.5kAutomated safety check: PassApache-2.0
Release Announcement PosterNanmiCoder/cc-haha15k—~516Automated safety check: PassMIT
WeChat Article Publisheriamzifei/wechat-article-publisher-skill157—~2.6kAutomated safety check: NotesMIT
WeChat Article Compliance Revieweraiworkskills/wechat-article-skills667—~1.5kAutomated safety check: PassApache-2.0
Create Experkfly/ex-skill2.5k—~3.7kAutomated safety check: NotesMIT

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Works with

Questions about Ex-Partner Persona Creator

What does Ex-Partner Persona Creator do?

Builds a local conversational persona and relationship memory of a former partner from chat exports, photos and social posts, with corrections and later additions. The skill starts with `/create-ex` or a similar request and asks three questions: a nickname, which is the only required answer, a one-line background and a personality sketch. It then imports material you provide: WeChat and QQ chat exports in text, CSV, HTML or JSON form or pasted text, social media content and photo metadata, using Python parsers under `tools/`.

When should I use Ex-Partner Persona Creator?

Ex-Partner Persona Creator fits situations like: turning your own chat history with a former partner into a private persona for personal reflection; adding newly found chat exports to an existing persona; correcting how a generated persona speaks; listing the personas you have already generated.

How do I install Ex-Partner Persona Creator in Claude Code?

Run `npx skills add therealXiaomanChu/ex-skill --skill create-ex -a claude-code`. Or copy the skill folder (the therealXiaomanChu/ex-skill repository) into .claude/skills/create-ex in your project. Claude Code loads it when a task matches its description.

How do I install Ex-Partner Persona Creator in Codex?

Run `npx skills add therealXiaomanChu/ex-skill --skill create-ex -a codex`. Or copy the skill folder (the therealXiaomanChu/ex-skill repository) into .agents/skills/create-ex in your project. Codex loads it when a task matches its description.

Can I use Ex-Partner Persona Creator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add therealXiaomanChu/ex-skill --skill create-ex -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-ex, .gemini/skills/create-ex, .github/skills/create-ex and .opencode/skills/create-ex in your project.

What does Ex-Partner Persona Creator need to run?

Going by SKILL.md and its folder, Ex-Partner Persona Creator needs the command-line tools its instructions call (python3). Our summary lists: Python 3 for the bundled parsers; Chat exports or other material that you provide. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash.

Does Ex-Partner Persona Creator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ex-Partner Persona Creator safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Ex-Partner Persona Creator use?

Ex-Partner Persona Creator is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ex-Partner Persona Creator use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ex-Partner Persona Creator?

Skills that share tags, products or a category with Ex-Partner Persona Creator: WeChat Article Assets Library (aiworkskills/wechat-article-skills, 667 stars), Release Announcement Poster (NanmiCoder/cc-haha, 15k stars), WeChat Article Publisher (iamzifei/wechat-article-publisher-skill, 157 stars) and WeChat Article Compliance Reviewer (aiworkskills/wechat-article-skills, 667 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ex-Partner Persona Creator?

therealXiaomanChu (a GitHub user) maintains it in therealXiaomanChu/ex-skill, which has 6,445 GitHub stars. The repository was last updated on April 8, 2026.

Source: therealXiaomanChu/ex-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.