Trending-skills yourself-skill-digital-self

---
name: yourself-skill-digital-self
description: Create a distilled AI "digital self" skill from your chat logs, diary entries, and photos — generating a two-part persona (Self Memory + Persona Model) that thinks and speaks like you.
triggers:
  - "create a digital version of myself"
  - "distill myself into an AI skill"
  - "build my persona skill from chat logs"
  - "generate my self skill"
  - "create yourself skill"
  - "build a digital twin of me"
  - "make an AI that talks like me"
  - "run create-yourself"
---

# 自己.skill (yourself-skill)

> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.

A Claude Code skill that distills *you* into a runnable AI persona. Provide chat logs, diary entries, and photos — the skill extracts a two-part structure: **Part A (Self Memory)** and **Part B (Persona Model)** — producing a digital copy that thinks in your logic and speaks in your voice.

Inspired by [colleague-skill](https://github.com/titanwings/colleague-skill) and [ex-partner-skill](https://github.com/therealXiaomanChu/ex-partner-skill), but the subject is **yourself**.

---

## Installation

### Into a specific project (run from git root)

```bash
mkdir -p .claude/skills
git clone https://github.com/notdog1998/yourself-skill .claude/skills/create-yourself

Globally (available in all projects)

git clone https://github.com/notdog1998/yourself-skill ~/.claude/skills/create-yourself

Optional Python dependencies

cd .claude/skills/create-yourself
pip install -r requirements.txt

Core Commands

/create-yourself

/list-selves

/{slug}

/{slug}-self

/{slug}-persona

/yourself-rollback {slug} {version}

/delete-yourself {slug}

Quick Start

Step 1 — Run the intake wizard

In Claude Code:

/create-yourself

You will be prompted for:

• Codename / slug — e.g.

  notdog

  → creates

  /{notdog}

  commands
• Basic info — age, occupation, location (all optional)
• Self-portrait — free-text description of yourself
• Data sources — paths to chat exports, diary files, photo folders

All fields are skippable; a description alone is enough to generate a skill.

Step 2 — Invoke your self-skill

/notdog

Step 3 — Add more data later (incremental merge)

Drop new exports into the data folder, then:

/create-yourself --merge notdog

The merger prompt (

prompts/merger.md

self.md

persona.md

Data Sources

.txt

.mht

.txt

Recommended export tools (external, not bundled)

• WeChatMsg — Windows
• PyWxDump — Windows
• 留痕 — macOS

Python Tools — Direct Usage

Parse WeChat export

from tools.wechat_parser import WeChatParser

parser = WeChatParser("path/to/wechat_export.csv")
my_messages = parser.extract_self_messages(self_name="notdog")
# Returns list[dict] with keys: timestamp, content, context
print(my_messages[:3])

Parse QQ export

from tools.qq_parser import QQParser

parser = QQParser("path/to/qq_export.txt")
messages = parser.extract_self_messages(self_qq="123456789")

Analyse photos

from tools.photo_analyzer import PhotoAnalyzer

analyzer = PhotoAnalyzer("path/to/photos/")
timeline = analyzer.build_timeline()
# Returns list[dict]: {date, location, description}
for entry in timeline:
    print(entry["date"], entry["location"])

Write / update a skill file

from tools.skill_writer import SkillWriter

writer = SkillWriter(slug="notdog")
writer.write_self(self_memory_markdown)     # writes selves/notdog/self.md
writer.write_persona(persona_markdown)      # writes selves/notdog/persona.md
writer.write_skill_md()                     # writes selves/notdog/SKILL.md

Version management

from tools.version_manager import VersionManager

vm = VersionManager(slug="notdog")
vm.snapshot()                    # save current version
versions = vm.list_versions()    # ["v1", "v2", "v3"]
vm.rollback("v2")                # restore a previous snapshot

Generated Skill Structure

Each self-skill is stored under

selves/{slug}/

selves/notdog/
├── SKILL.md          # callable skill entry point
├── self.md           # Part A — Self Memory
├── persona.md        # Part B — Persona Model (5-layer)
├── corrections.md    # live correction log
└── versions/
    ├── v1/
    └── v2/

Part A — Self Memory (

self.md

)

Contains:

• Personal history and milestones
• Core values and beliefs
• Daily habits and routines
• Important memories
• Key relationships
• Growth trajectory

Part B — Persona Model (

persona.md

) — 5-layer structure

Runtime logic

Incoming message
  → Persona layer: how would you respond?
  → Self Memory layer: what personal context applies?
  → Output in your voice

Correction System

During a conversation with your self-skill, you can correct it in real time:

User    ❯ I would never say it that way.
Skill   ❯ Noted. How would you say it?
User    ❯ I'd just say "doesn't make sense" — I never use formal phrasing.

The correction is appended to

corrections.md

persona.md

/create-yourself --merge

Persona Tags

Personality: 话痨 (chatterbox) · 闷骚 (outwardly reserved, secretly expressive) · 嘴硬心软 (tough outside, soft inside) · 社恐 (social anxiety) · 完美主义 · 没有安全感 · 秒回选手 (instant replier) · 已读不回 (reads without replying) · 深夜emo型 · 纠结体 · 行动派

Habits: 早起困难户 · 咖啡依赖 · 极简主义 · 囤积癖 · 数字游民 · 仪式感狂热者

MBTI: All 16 types supported

Zodiac: All 12 signs supported

Project Layout

create-yourself/
├── SKILL.md                       # skill entry point
├── prompts/
│   ├── intake.md                  # conversational intake wizard
│   ├── self_analyzer.md           # memory/cognition extraction
│   ├── persona_analyzer.md        # personality extraction + tag table
│   ├── self_builder.md            # self.md generation template
│   ├── persona_builder.md         # 5-layer persona template
│   ├── merger.md                  # incremental merge logic
│   └── correction_handler.md      # real-time correction handling
├── tools/
│   ├── wechat_parser.py
│   ├── qq_parser.py
│   ├── social_parser.py
│   ├── photo_analyzer.py
│   ├── skill_writer.py
│   └── version_manager.py
├── selves/                        # generated self-skills (gitignored)
├── docs/PRD.md
├── requirements.txt
└── LICENSE

Troubleshooting

/create-yourself

• Confirm you are inside a git repository.
• Confirm the skill is at

  .claude/skills/create-yourself/SKILL.md

  (project-level) or

  ~/.claude/skills/create-yourself/SKILL.md

  (global).

WeChat parser returns empty results

• Verify

  self_name

  matches exactly the display name used in the export file (case-sensitive).
• PyWxDump exports use a different column schema than WeChatMsg — instantiate

  WeChatParser(source="pywxdump")

  .

Low persona accuracy

• Prioritise late-night conversations and emotionally charged records — they reveal authentic voice better than daytime small talk.
• Include decision-making chats to expose your reasoning patterns.
• Run a merge after adding new sources rather than regenerating from scratch.

Rollback fails

• Check

  versions/

  exists inside the slug folder:

  ls selves/{slug}/versions/

  .
• Run

  vm.snapshot()

  manually before large updates to ensure a restore point exists.

Corrections not persisting across sessions

• Corrections in

  corrections.md

  are merged into

  persona.md

  only on the next merge run. Run

  /create-yourself --merge {slug}

  to bake them in permanently.

Best Practices

1. Quality over quantity — 500 messages you actually wrote beat 10,000 forwarded links.
2. Prioritise in this order: late-night monologues → emotional moments → decision conversations → daily chatter.
3. Re-distill after major life changes — the skill captures a checkpoint, not a continuous stream.
4. Use

   /{slug}-self

   for self-reflection, not just roleplay — it can surface patterns you haven't consciously noticed.
5. Keep

   selves/

   in

   .gitignore

   (it is by default) — your personal data should not be committed.

License

MIT © Notdog