Agent skill

Wechat To Notebooklm

by zstmfhy in zstmfhy/wechat-to-notebooklm

WeChat article to NotebookLM sync tool. An agent skill from zstmfhy/wechat-to-notebooklm.

MITAuto-check passedKnowledge Management

Install Wechat To Notebooklm

skills CLI

$ npx skills add zstmfhy/wechat-to-notebooklm --skill wechat-to-notebooklm -a claude-code

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

GitHub CLI

$ gh skill install zstmfhy/wechat-to-notebooklm wechat-to-notebooklm --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/

Paste into Claude Code

Install the "wechat-to-notebooklm" agent skill from https://github.com/zstmfhy/wechat-to-notebooklm/tree/main into .claude/skills/wechat-to-notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-to-notebooklm", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add zstmfhy/wechat-to-notebooklm --skill wechat-to-notebooklm -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install zstmfhy/wechat-to-notebooklm wechat-to-notebooklm --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "wechat-to-notebooklm" agent skill from https://github.com/zstmfhy/wechat-to-notebooklm/tree/main into .agents/skills/wechat-to-notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-to-notebooklm", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add zstmfhy/wechat-to-notebooklm --skill wechat-to-notebooklm -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install zstmfhy/wechat-to-notebooklm wechat-to-notebooklm --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "wechat-to-notebooklm" agent skill from https://github.com/zstmfhy/wechat-to-notebooklm/tree/main into .cursor/skills/wechat-to-notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-to-notebooklm", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add zstmfhy/wechat-to-notebooklm --skill wechat-to-notebooklm -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install zstmfhy/wechat-to-notebooklm wechat-to-notebooklm --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "wechat-to-notebooklm" agent skill from https://github.com/zstmfhy/wechat-to-notebooklm/tree/main into .gemini/skills/wechat-to-notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-to-notebooklm", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install zstmfhy/wechat-to-notebooklm wechat-to-notebooklm

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add zstmfhy/wechat-to-notebooklm --skill wechat-to-notebooklm -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "wechat-to-notebooklm" agent skill from https://github.com/zstmfhy/wechat-to-notebooklm/tree/main into .github/skills/wechat-to-notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-to-notebooklm", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add zstmfhy/wechat-to-notebooklm --skill wechat-to-notebooklm -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install zstmfhy/wechat-to-notebooklm wechat-to-notebooklm --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "wechat-to-notebooklm" agent skill from https://github.com/zstmfhy/wechat-to-notebooklm/tree/main into .opencode/skills/wechat-to-notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-to-notebooklm", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: wechat-to-notebooklm
GitHub stars: 103
Token cost: ~1.8k tokens
SKILL.md length: 679 words
Files: 3
Skills in repo: 1
Repo updated: Jan 25, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

WeChat article to NotebookLM sync tool. An agent skill from zstmfhy/wechat-to-notebooklm.

Works in 5 steps: Fetches the article content from the URL → Converts to clean Markdown format → Creates a NotebookLM notebook… → …
User provides a WeChat Official Account article URL (mp.weixin.qq.com) and wants to add it to their NotebookLM
SKILL.md covers What This Does, When to Use, Prerequisites and Workflow, plus 9 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wechat To Notebooklm is an agent skill from zstmfhy/wechat-to-notebooklm. WeChat article to NotebookLM sync tool. Use when user provides a WeChat Official Account article URL (mp.weixin.qq.com) and wants to add it to their NotebookLM. Automatically fetches article content, converts to Markdown, creates notebook, and uploads to NotebookLM.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md`).

It sits in Knowledge Management, covering Source-grounded notebooks and Messaging and chat bots. It works with WeChat and NotebookLM. The licence is MIT.

When your agent uses it

User provides a WeChat Official Account article URL (mp.weixin.qq.com) and wants to add it to their NotebookLM
Tasks that involve Source-grounded notebooks
Tasks that involve Messaging and chat bots

Example prompts

“/wechat-to-notebooklm”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Fetches the article content from the URL
Converts to clean Markdown format
Creates a NotebookLM notebook (optionally with custom title)
Uploads the article as a source
Returns the notebook ID for further interaction

What it can do on your machine

Read from SKILL.md and the folder at commit cdd3790. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- mp.weixin.qq.com
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

Wechat To Notebooklm loads about 1.8k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 679 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~72
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k

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 passed

The automated check found no risky patterns in SKILL.md.

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 zstmfhy/wechat-to-notebooklm at commit cdd3790, republished under its MIT licence (© zstmfhy). 679 words, ~1,807 tokens.

Download SKILL.mdSave it as .claude/skills/wechat-to-notebooklm/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: wechat-to-notebooklm
description: WeChat article to NotebookLM sync tool. Use when user provides a WeChat Official Account article URL (mp.weixin.qq.com) and wants to add it to their NotebookLM. Automatically fetches article content, converts to Markdown, creates notebook, and uploads to NotebookLM.

WeChat to NotebookLM

Automatically sync WeChat Official Account articles to Google NotebookLM for AI-powered analysis, summarization, and content generation.

What This Does

This skill automates the entire workflow of getting a WeChat article into NotebookLM:

Fetches the article content from the URL
Converts to clean Markdown format
Creates a NotebookLM notebook (optionally with custom title)
Uploads the article as a source
Returns the notebook ID for further interaction

When to Use

Use this skill when you:

Have a WeChat Official Account article URL (mp.weixin.qq.com)
Want to save the article to NotebookLM for analysis
Want to create a podcast/video from the article
Want to chat with the article content using AI
Want to summarize or extract insights from the article

Example triggers:

"Sync this WeChat article to NotebookLM"
"Add this mp.weixin.qq.com link to my notebook"
"Create a notebook from this WeChat article"
"Save this article to NotebookLM"

Prerequisites

Before using this skill, ensure NotebookLM CLI is authenticated:

bash

notebooklm login          # Opens browser for Google OAuth
notebooklm status         # Verify authentication

Workflow

Complete Sync Process

Step 1: Fetch Article Content

Use the web reader MCP tool to fetch the WeChat article:

mcp__web_reader__webReader
URL: <WeChat article URL>
return_format: markdown
retain_images: false (optional, saves bandwidth)

This returns the article content in Markdown format.

Step 2: Save Content to File

Save the fetched content to a temporary Markdown file:

bash

# Extract title from content or use default
# Save to /tmp/<sanitized_title>.md

The file should be saved with a descriptive name based on the article title.

Step 3: Create NotebookLM Notebook

Create a new notebook with the article title:

bash

notebooklm create "<article_title>" --json

Parse the JSON response to get the notebook ID:

json

{"notebook": {"id": "abc-123-def", "title": "..."}}

Step 4: Upload Article to Notebook

Add the Markdown file as a source to the notebook:

bash

notebooklm source add /tmp/<article_title>.md --notebook <notebook_id> --json

Parse the response to get the source ID:

json

{"source": {"id": "source-xyz-789", "title": "...", "type": "text"}}

Step 5: Confirm Success

Report to the user:

Notebook title and ID
Source file name
Notebook ID for further use
Suggested next steps (ask questions, generate podcast, etc.)

Progress Updates

Provide brief, clear status updates:

✅ Fetching article from WeChat...
✅ Converting to Markdown...
✅ Creating notebook "Article Title"...
✅ Uploading to NotebookLM...
✅ Done! Notebook ID: abc-123-def

Output Summary

When complete, provide:

Successfully synced WeChat article to NotebookLM!

📓 Notebook: [Article Title]
   ID: abc-123-def

📄 Source: article_title.md
   ID: source-xyz-789

💡 Next steps:
   - Use: notebooklm use abc-123-def
   - Ask: notebooklm ask "Summarize this article"
   - Generate: notebooklm generate audio "Create a podcast"

Error Handling

Common Issues

1. Article URL is invalid or inaccessible

Error: Failed to fetch content
Solution: Verify the URL is correct and accessible
Alternative: Try copying the article content manually

2. NotebookLM authentication failed

Error: Auth/cookie error
Solution: Run notebooklm login again
Check: notebooklm status to verify

3. File upload failed

Error: Invalid file or upload error
Solution: Check if Markdown file was created correctly
Verify: File path and permissions

4. Notebook creation failed

Error: Rate limiting or API error
Solution: Wait a few minutes and retry
Alternative: Add to existing notebook with --notebook flag

Advanced Features

Show full SKILL.md (277 more words)Show less

Add to Existing Notebook

If user wants to add to an existing notebook:

bash

# Get list of notebooks
notebooklm list --json

# Use existing notebook ID
notebooklm source add /tmp/article.md --notebook <existing_notebook_id> --json

Batch Processing

For multiple WeChat articles:

bash

# Create notebook once
notebooklm create "WeChat Articles Collection" --json

# Add multiple articles
for url in "${urls[@]}"; do
  # Fetch, save, upload to same notebook
done

Follow-up Actions

After successful upload, suggest:

For analysis:

bash

notebooklm use <notebook_id>
notebooklm ask "What are the key insights?"
notebooklm ask "Summarize in 3 bullet points"

For content generation:

bash

notebooklm generate audio "Create an engaging podcast"
notebooklm generate video "Make an explanatory video"
notebooklm generate quiz "Test understanding"

For research:

bash

notebooklm source add-research "related topics" --mode deep
notebooklm ask "Compare with other sources"

Limitations

WeChat articles only: Optimized for mp.weixin.qq.com URLs
Text content: Focuses on text, images are preserved as links
Public articles: Requires publicly accessible articles
Rate limits: NotebookLM has rate limits on uploads

Troubleshooting

Problem: Article content is incomplete

Cause: WeChat page uses JavaScript rendering
Solution: web reader tool handles most cases, but some dynamic content may be missed

Problem: Chinese characters display incorrectly

Cause: File encoding issues
Solution: Ensure UTF-8 encoding when saving files

Problem: NotebookLM says "Processing" for too long

Cause: Large articles take time to index
Solution: Wait 1-2 minutes, then check status with notebooklm source list

Best Practices

Use descriptive notebook titles: Extract from article title or topic
Keep articles organized: Use separate notebooks for different topics
Verify uploads: Check notebooklm source list after upload
Clean up temp files: Remove /tmp files after successful upload
Handle rate limits: If uploads fail, wait 5-10 minutes before retry

Quick Reference

Task	Command/Tool
Fetch article	`mcp__web_reader__webReader`
Create notebook	`notebooklm create "Title" --json`
Upload file	`notebooklm source add file.md --notebook <id> --json`
Check sources	`notebooklm source list --notebook <id> --json`
Chat with article	`notebooklm use <id>; notebooklm ask "question"`
Generate podcast	`notebooklm generate audio "instructions" --notebook <id>`

Example Usage

User: "Sync this WeChat article to NotebookLM: https://mp.weixin.qq.com/s/xxxxx"

Agent workflow:

Fetch article using web reader
Save to /tmp/article_title.md
Create notebook "Article Title"
Upload markdown file
Report success with IDs and next steps

Time estimate: 30-60 seconds total

Files

SKILL.md and 2 other files in the repository root of zstmfhy/wechat-to-notebooklm.

SKILL.md
LICENSE
README.md

Open the folder on GitHubat commit cdd3790

Compare with similar skills

Wechat To Notebooklm 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.

Wechat To Notebooklm compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Wechat To Notebooklm this skillzstmfhy/wechat-to-notebooklm	103	—	~1.8k	Automated safety check: Pass	MIT	8 mo ago
NotebookLM Automationteng-lin/notebooklm-py	20k	—	~4.1k	Automated safety check: Pass	MIT	yesterday
Cninfo To Notebooklmjarodise/CNinfo2Notebookllm	363	—	~1.1k	Automated safety check: Pass	None	3 mo ago
Notebooklmroomi-fields/notebooklm-mcp	192	—	~1.1k	Automated safety check: Pass	MIT	1 mo ago
Notebooklmsanjay3290/ai-skills	432	—	~655	Automated safety check: Pass	Apache-2.0	1 mo ago
Nlm Skilliusztinpaul/ai-research-os-workshop	179	1 repos	~6.9k	Automated safety check: Pass	MIT	3 mo ago

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Works with

Questions about Wechat To Notebooklm

What does Wechat To Notebooklm do?

WeChat article to NotebookLM sync tool. An agent skill from zstmfhy/wechat-to-notebooklm. Wechat To Notebooklm is an agent skill from zstmfhy/wechat-to-notebooklm. WeChat article to NotebookLM sync tool.

When should I use Wechat To Notebooklm?

Wechat To Notebooklm fits situations like: user provides a WeChat Official Account article URL (mp.weixin.qq.com) and wants to add it to their NotebookLM; tasks that involve Source-grounded notebooks; tasks that involve Messaging and chat bots.

How do I install Wechat To Notebooklm in Claude Code?

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

How do I install Wechat To Notebooklm in Codex?

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

Can I use Wechat To Notebooklm 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 zstmfhy/wechat-to-notebooklm --skill wechat-to-notebooklm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wechat-to-notebooklm, .gemini/skills/wechat-to-notebooklm, .github/skills/wechat-to-notebooklm and .opencode/skills/wechat-to-notebooklm in your project.

What does Wechat To Notebooklm need to run?

SKILL.md names no scripts, command-line tools or credentials: Wechat To Notebooklm is instructions for the agent only.

Does Wechat To Notebooklm access the network?

SKILL.md names 1 domain. As links in the text: mp.weixin.qq.com. This is read from the text; nothing was executed.

Is Wechat To Notebooklm safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Wechat To Notebooklm use?

Wechat To Notebooklm 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 Wechat To Notebooklm use?

About 1.8k tokens (SKILL.md is roughly 7.2k 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 Wechat To Notebooklm?

Skills that share tags, products or a category with Wechat To Notebooklm: NotebookLM Automation (teng-lin/notebooklm-py, 20k stars), Cninfo To Notebooklm (jarodise/CNinfo2Notebookllm, 363 stars), Notebooklm (roomi-fields/notebooklm-mcp, 192 stars) and Notebooklm (sanjay3290/ai-skills, 432 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wechat To Notebooklm?

zstmfhy (a GitHub user) maintains it in zstmfhy/wechat-to-notebooklm, which has 103 GitHub stars. The repository was last updated on January 25, 2026.

Source: zstmfhy/wechat-to-notebooklm on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Wechat To Notebooklm

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

WeChat to NotebookLM

What This Does

When to Use

Prerequisites

Workflow

Complete Sync Process

Progress Updates

Output Summary

Error Handling

Common Issues

Advanced Features

Add to Existing Notebook

Batch Processing

Follow-up Actions

Limitations

Troubleshooting

Best Practices

Quick Reference

Example Usage

Files

Compare with similar skills

Similar skills

NotebookLM Automation

Cninfo To Notebooklm

Notebooklm

Notebooklm

Nlm Skill

Greenbubbles Personal Memory

Related

Questions about Wechat To Notebooklm