Great, now I can directly use Codex to automatically batch fetch WeChat Official Account articles. Both original articles and multiple articles at once can be accurately fetched; body text, likes, shares, comments, and read counts can also be fetched. Previously I had to manually operate on the website, now I just let Codex do it — so comfortable~ For the body text, just scan a QR code, and the login persists for 4 days. For other data, you need to switch proxies, but Codex can handle that itself. Skill GitHub URL: https://github.com/mcncarl/yichen-skills/tree/main/wechat-mp-batch-exporter…

mcncarl/yichen-skills

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

yichen-skills

English | Chinese

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. Run verified research through the official ChatGPT web page (chatgpt-web-research)
9. Hand off rough cuts to Jianying/CapCut for final editing (jianying-editor)
10. Install and maintain a Markdown/Obsidian-first Codex memory system (codex-memory)
11. Batch-export WeChat Official Account article history, original-article lists, bodies, and optional read/comment metrics (wechat-mp-batch-exporter)

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 (https://x.com/koffuxu/status/2043110831584690427)

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/ 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) chatgpt-web-research

Run research through the user’s already signed-in official ChatGPT website account:

• Uses the real ChatGPT web page, not the OpenAI API or a separate account
• Prefers Chrome extension control and falls back to visible Computer Use only when necessary
• Waits for a full answer with a unique marker before extracting
• Saves raw and readable Markdown reports under the current workspace’s reports/ directory
• Keeps profile names, local paths, cookies, tokens, and browser storage out of the public skill See chatgpt-web-research/README.md for privacy notes and workflow details.

10) 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

11) codex-memory

Install and maintain the public Codex Memory system:

• Creates a local Markdown/Obsidian-first memory vault from the public template
• Uses Markdown as the source of truth and SQLite/FTS as the fast index
• Supports optional Zvec semantic retrieval for fuzzy “meaning-based” recall
• Guides prewrite reconcile, closeout, audit, and privacy-safe template updates
• Typical triggers: “install Codex memory”, “set up memory vault”, “run memory closeout”, “audit my Codex memory”
• Template repo: mcncarl/codex-memory (https://github.com/mcncarl/codex-memory)

12) wechat-mp-batch-exporter

Batch-export WeChat Official Account articles:

• Downloads known mp.weixin.qq.com article URLs as Markdown/JSON/text/HTML
• Uses wechat-article-exporter for account search and history list sync
• Separates publish_groups, expanded_url_items, and original_articles
• Supports enhanced archive planning for read counts, likes, shares, comments, and replies through wxdown-service when fresh user-owned credentials are available
• Requires user confirmation for QR login, credential capture, certificate trust, proxy changes, and any WeChat desktop steps
• Never operates WeChat UI or stores real credentials in the repo See wechat-mp-batch-exporter/README.md for setup and privacy notes.

Project Structure

text 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 ├─ chatgpt-web-research/ │ ├─ SKILL.md │ ├─ README.md │ └─ agents/ ├─ jianying-editor/ │ └─ SKILL.md ├─ codex-memory/ │ ├─ SKILL.md │ └─ agents/ ├─ wechat-mp-batch-exporter/ │ ├─ SKILL.md │ ├─ README.md │ ├─ agents/ │ ├─ references/ │ └─ scripts/ ├─ 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
  • ChatGPT Web research: Chrome signed in to ChatGPT, plus Chrome/Computer Use capability in your agent environment
  • WeChat MP batch export: Python 3 standard library for known URL downloads; wechat-article-exporter / wxdown-service only for account history, metrics, and comments

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
• chatgpt-web-research
• jianying-editor
• codex-memory
• wechat-mp-batch-exporter

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 /...)

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

F) Enable chatgpt-web-research

1. Make sure Chrome is already signed in to the intended ChatGPT account
2. Keep the ChatGPT tab or profile visible when a Pro route must be confirmed
3. Ask for official-site research, for example: “Use ChatGPT Web to research Anthropic and save a Markdown report”
4. The skill waits for a complete answer, verifies the marker, and saves raw/readable Markdown reports

G) Enable codex-memory

1. Make sure codex-memory/SKILL.md is available in your loaded skills path
2. Ask Codex to “install Codex Memory” or “set up a local Codex memory vault”
3. The skill will use mcncarl/codex-memory (https://github.com/mcncarl/codex-memory) to create a private local vault
4. After setup, use codex_memory_search.py, codex_memory_closeout.py, and codex_memory_audit.py for search, task-end cleanup, and periodic review

H) Enable wechat-mp-batch-exporter

1. Make sure wechat-mp-batch-exporter/SKILL.md is available in your loaded skills path
2. For known article URLs, ask for a Markdown download directly
3. For account history, configure WECHAT_ARTICLE_EXPORTER_DIR or use the public exporter route supported by wechat-article-exporter
4. For read counts and comments, configure WXDOWN_SERVICE_DIR and confirm the credential-capture workflow before starting any local helper
5. See wechat-mp-batch-exporter/README.md before using metrics, comments, proxy, certificate, or WeChat desktop workflows

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: bash 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: bash 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
• WeChat exporter auth-keys, credential files, QR secrets, captured cookies, and downloaded article archives must stay local and private

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
• /... 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:
  • Docs:
  • License: MIT

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

• zhuyansen/wx-favorites-report
  • Repo:
  • Author: zhuyansen
  • License: MIT
  • Specifically: the