Codex 这两个 GitHub 项目一接上，资料归档直接起飞。 一个管微信，一个管飞书： 微信本地资料库： https://github.com/mcncarl/yichen-skills/tree/main/wechat-local-vault… 飞书 CLI： https://github.com/larksuite/cli 前者能把微信聊天、收藏、朋友圈这类内容变成可被 AI 调用的本地资产；后者是飞书官方 CLI，覆盖消息、文档、表格、日历等办公场景。

mcncarl/yichen-skills

Source: https://github.com/mcncarl/yichen-skills

yichen-skills

English | 中文

A skill collection for creators who want to streamline writing, X Articles draft publishing, WeChat digital-asset capture, and local workflows with Claude Code and Codex.

What This Repo Does

1. Turn Claude Code conversations into structured Obsidian notes (summary)
2. Upload Obsidian/Markdown articles to X Articles drafts (x-article-draft-uploader)
3. Turn WeChat chats, Moments, and Favorites into AI-powered digital assets (wechat-local-vault)
4. Run two WeChat accounts on one Mac with a distinct blue icon (mac-wechat-dual-open)
5. Fetch benchmark videos/posts from Douyin and Xiaohongshu (douyin-fetcher, xiaohongshu-fetch)
6. Transcribe, caption, and rough-cut talking-head videos with Volcengine ASR (volc-asr)
7. Diagnose benchmark video transcripts (yichen-video-content)
8. Hand off rough cuts to Jianying/CapCut for final editing (jianying-editor)

Included Skills

1) summary

• Purpose: extract key insights from the current conversation and save to Obsidian
• Typical triggers: /summary, “save conversation”, “export highlights”
• Capabilities:
  • Filters out low-value chat transitions
  • Produces structured notes (Background, Core Content, Solution, Key Points, Related)
  • Useful for long-term knowledge accumulation

2) x-article-draft-uploader

Upload Obsidian/Markdown long-form articles to X Articles drafts:

• Uses the first image as the X Article cover
• Converts Markdown into rich text for the X editor
• Inserts body images at their original Markdown positions
• Runs in an independent Playwright browser so it does not take over the user’s current Chrome window
• Reuses Chrome login state through temporary exported cookies
• Saves drafts only and does not click the final 发布 button

See x-article-draft-uploader/README.md for installation, privacy notes, and troubleshooting.

3) mac-wechat-dual-open

Run two WeChat accounts simultaneously on macOS — no third-party tools:

• Copies WeChat, changes the bundle identifier, and re-signs locally
• Recolors the second app’s icon from green to blue for visual distinction
• Handles both outer and embedded icon files, Finder custom icon, and cache refresh
• One-command workflow: create → recolor-icon → launch
• Typical triggers: “微信双开”, “WeChat dual open”, “double WeChat”
• Requirements: macOS 12+, WeChat at /Applications/WeChat.app, Python 3.10+, Pillow
• Limitations: breaks after WeChat updates (re-run repair), push notifications may be unreliable
• Based on the well-known copy + bundle-id + ad-hoc signing method documented by @koffuxu

4) wechat-local-vault

WeChat digital-asset assistant for macOS:

• Decrypts WeChat Mac 4.x local SQLCipher databases (AES-256-CBC)
• Extracts chats, Moments (sns.db), and Favorites (favorite.db)
• Generates AI-powered chat digests, Moments reports, Favorites cleanup notes, customer follow-up drafts, and relationship review prompts
• First-time onboarding introduces 3 categories and 9 playbooks: chat records, Moments, and Favorites
• Configurable monitoring for groups, contacts, Moments targets, and Favorites cleanup preferences
• First-time setup guided via frida key extraction
• Typical triggers: “微信解析”, “微信全量”, “微信增量”, “导出聊天”, “朋友圈解析”, “收藏夹整理”, “客户跟进”, “wechat-local-vault”
• Requirements: macOS, WeChat Mac 4.x, Python 3.9+, pycryptodome, zstandard
• See wechat-local-vault/README.md for full documentation

5) douyin-fetcher

Fetch Douyin video metadata and download an MP4 through Playwright network interception:

• Supports /video/<id> links and selected modal-style URLs
• Writes a compact .metadata.json next to the downloaded video
• Use --metadata-only to validate a link without downloading media

6) xiaohongshu-fetch

Fetch Xiaohongshu video/image posts into local files:

• Parses window.__INITIAL_STATE__
• Downloads video, subtitles, images, and metadata when available
• Keeps cookies, Feishu AppToken/TableID, and target table IDs out of the repo

7) volc-asr

Transcribe local audio/video files and generate rough cuts:

• Uses environment variables for Volcengine ASR and TOS configuration
• Produces transcript text, SRT subtitles, ASR cache, and optional rough-cut MP4
• Requires explicit user approval before cleaning temporary files

8) yichen-video-content

Analyze benchmark video transcripts:

• Breaks a transcript down sentence by sentence
• Labels each sentence’s role
• Produces a structured imitation and improvement report

9) jianying-editor

Guide Jianying/CapCut desktop finishing:

• Confirms media files and imports rough cuts
• Handles timeline placement, subtitles, visual polishing, and export notes
• Leaves automatic rough-cut logic to volc-asr

Project Structure

yichen-skills/
├─ summary/
│  └─ SKILL.md
├─ x-article-draft-uploader/
│  ├─ SKILL.md
│  ├─ README.md
│  ├─ agents/
│  └─ scripts/
│     ├─ export_x_cookies_from_chrome.py
│     ├─ parse_markdown.py
│     └─ upload_markdown_to_x_article.py
├─ wechat-local-vault/
│  ├─ SKILL.md
│  ├─ README.md
│  └─ scripts/
│     ├─ decrypt_all_dbs.py
│     ├─ export_chat.py
│     ├─ extract_keys.py
│     ├─ list_contacts.py
│     ├─ search_sns.py
│     └─ wechat_digest.py
├─ mac-wechat-dual-open/
│  ├─ SKILL.md
│  ├─ scripts/
│  │  └─ wechat_dual_open.py
│  └─ references/
│     └─ reliability-and-risks.md
├─ douyin-fetcher/
│  ├─ SKILL.md
│  └─ scripts/
│     └─ download.py
├─ xiaohongshu-fetch/
│  ├─ SKILL.md
│  └─ scripts/
│     └─ fetch.py
├─ volc-asr/
│  ├─ SKILL.md
│  └─ scripts/
│     └─ transcribe.py
├─ yichen-video-content/
│  ├─ SKILL.md
│  └─ references/
│     └─ title-formulas.md
├─ jianying-editor/
│  └─ SKILL.md
├─ README.md
├─ README.zh.md
├─ THIRD_PARTY_NOTICES.md
├─ LICENSE
└─ .gitignore

Requirements

• Claude Code / Codex CLI (with local skill loading)
• Python Playwright (required by x-article-draft-uploader)
• Python 3.9+
• Dependencies:
  • X article drafts: pip install playwright pycryptodome && python3 -m playwright install chromium
  • WeChat local vault: pip install pycryptodome zstandard
  • WeChat dual open: pip install Pillow
  • Douyin fetcher: pip install playwright requests && python3 -m playwright install chromium
  • Xiaohongshu fetcher: pip install requests
  • Volc ASR rough cut: pip install requests plus local ffmpeg / ffprobe

Installation

Copy this repository into your local skills directory:

• Common Claude path: ~/.claude/skills/
• Common Agents path: ~/.agents/skills/
• Custom skill path also works if your setup supports it

Keep directory names unchanged:

• summary
• x-article-draft-uploader
• wechat-local-vault
• mac-wechat-dual-open
• douyin-fetcher
• xiaohongshu-fetch
• volc-asr
• yichen-video-content
• jianying-editor

Quick Start (3 Minutes)

A) Enable summary

1. Ensure summary/SKILL.md is available in your loaded skills path
2. Start a new session and run /summary
3. Confirm output is written to your Obsidian folder (example paths may use <OBSIDIAN_VAULT>/...)

B) Enable x-article-draft-uploader

1. Install Python Playwright: pip3 install playwright pycryptodome && python3 -m playwright install chromium
2. Make sure Chrome is already logged in to X
3. Say “upload this Markdown article to X Articles draft” or run the script directly
4. The skill creates a fresh draft, preserves the first image as the cover, and inserts body images in place
5. See x-article-draft-uploader/README.md for commands

C) Enable mac-wechat-dual-open

1. Install Python dependency: pip3 install Pillow
2. In Claude Code, say “帮我微信双开” or “WeChat dual open”
3. The skill will create a second WeChat at ~/Applications/WeChat-2.app with a blue icon
4. See mac-wechat-dual-open/SKILL.md for all commands

D) Enable wechat-local-vault

1. Install Python dependencies: pip3 install pycryptodome zstandard
2. In Claude Code or Codex, say “微信解析”, “导出聊天”, or “收藏夹整理”
3. First run will guide you through key extraction and choosing among the 9 playbooks
4. If unsure, start with the recommended trio: group chat digest + Moments report + Favorites cleanup
5. Subsequent runs generate the selected digest, report, or draft workflow
6. See wechat-local-vault/README.md for details

E) Enable the creator video workflow

1. Install Playwright, requests, and ffmpeg
2. Use douyin-fetcher or xiaohongshu-fetch to save benchmark media locally
3. Use volc-asr to transcribe or rough-cut recorded talking-head videos
4. Use yichen-video-content to diagnose benchmark transcripts
5. Use jianying-editor for final Jianying/CapCut import, subtitle, polish, and export steps

X Cookie Handling

This repo does not include real credentials or cookie templates.

x-article-draft-uploader exports current X cookies from the user’s local Chrome profile into a temporary Playwright cookie file:

python3 ~/.codex/skills/x-article-draft-uploader/scripts/export_x_cookies_from_chrome.py --output /tmp/x_current_cookies.json

The temporary file is sensitive and should be deleted after use:

rm -f /tmp/x_current_cookies.json

.gitignore already ignores **/cookies.json.

Security Notes

• Real token/cookie values are not included
• History/cache artifacts are excluded from tracking
• Personal absolute paths are replaced with generic forms
• Third-party AppID, AppToken, TableID, bucket names, and ASR tokens must be supplied through environment variables or private config

If you ever exposed real cookies in a public repo, rotate them immediately.

FAQ

Why doesn’t a skill trigger?

• Verify the skill folder is in your actually loaded skill path
• Restart the session and retry
• Check name and description in SKILL.md frontmatter

Why did X Articles draft upload fail?

• Check whether Chrome is still logged in to X
• Re-export temporary cookies
• Verify Python Playwright is installed
• Verify local Markdown/image paths exist

Can I use my own Obsidian path?

• Yes. Replace example paths in skill files
• <OBSIDIAN_VAULT>/... is only an example

For Redistributors

This repository is published for personal learning and non-commercial personal use only. Do not use it for commercial services, client delivery, paid products, internal company toolkits, marketplace packages, courses, or any other revenue-generating purpose without explicit written permission.

If you fork for personal study, keep at least:

• README.md
• README.zh.md
• LICENSE
• .gitignore
• THIRD_PARTY_NOTICES.md
• x-article-draft-uploader/README.md

Do not republish or repackage this repository as a public skill bundle. Always remind users not to publish real credentials or private data.

Acknowledgments

Parts of the X Articles draft workflow and Markdown parsing approach are adapted with references to:

• wshuyi/x-article-publisher-skill
  • Repo: https://github.com/wshuyi/x-article-publisher-skill
  • Docs: https://github.com/wshuyi/x-article-publisher-skill/blob/main/README_CN.md
  • License: MIT

The WeChat database decryption approach in wechat-local-vault is adapted from:

• zhuyansen/wx-favorites-report
  • Repo: https://github.com/zhuyansen/wx-favorites-report
  • Author: zhuyansen
  • License: MIT
  • Specifically: the frida hook method for CCKeyDerivationPBKDF key extraction and SQLCipher 4 page-level decryption logic

The WeChat dual-open method in mac-wechat-dual-open is based on:

• @koffuxu — original tutorial (2026-04): Mac 微信双开最完美方案
• @MinLiBuilds — independent confirmation (2026-04)

See THIRD_PARTY_NOTICES.md for details.

Compliance Boundary

• This project is not affiliated with, endorsed by, or sponsored by X (Twitter) or WeChat (Tencent).
• This repository is for personal learning and non-commercial personal workflow use only.
• Commercial use, client delivery, resale, paid redistribution, marketplace packaging, course bundling, and internal company deployment are prohibited without prior written permission.
• Users are responsible for complying with X platform terms/policies and local laws.
• wechat-local-vault is for personal use only — only decrypt and read your own chat data.
• Never upload real account credentials (for example, cookies.json, wechat-keys.json) to public repositories.
• Never upload real chat records, WeChat databases, customer data, private notes, API keys, local paths, or other personal data.

License

Personal Learning and Non-Commercial Use License. See LICENSE.