How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does cninfo-to-notebooklm support?

cninfo-to-notebooklm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is cninfo-to-notebooklm free to use?

Yes. cninfo-to-notebooklm is free to install and use. It is available from the open explainx.ai skill registry published by jarodise.

Where can I read ratings and reviews for cninfo-to-notebooklm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install cninfo-to-notebooklm?

Run `npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

cninfo-to-notebooklm▌

jarodise/cninfo2notebookllm · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm

0 commentsdiscussion

summary

Download annual and periodic reports for China A-share and Hong Kong stocks from cninfo.com.cn and upload them to NotebookLM for AI-powered analysis with a specialized "Financial Analyst" persona.

skill.md

CNinfo to NotebookLM

Overview

Download annual and periodic reports for China A-share and Hong Kong stocks from cninfo.com.cn and upload them to NotebookLM for AI-powered analysis with a specialized "Financial Analyst" persona.

When to Use

User provides a China stock name or code (A-share or Hong Kong)
User wants to analyze a company's financial reports
User asks to "download reports" or "research" a Chinese stock
User wants to upload stock reports to NotebookLM

Supported Markets

Market	Code Pattern	Examples
A-share	6-digit codes (0xxxxx, 3xxxxx, 6xxxxx)	600519 (贵州茅台), 000001 (平安银行)
Hong Kong	5-digit codes (00xxx, 01xxx, 02xxx, 09xxx)	00700 (腾讯控股), 09988 (阿里巴巴)

Core Workflow

User provides stock name/code
        ↓
1. Look up stock in database (auto-detect market)
        ↓
2. Download reports from cninfo:
   - Last 5 years annual reports (年度报告)
   - Current year: Q1, semi-annual, Q3 reports
        ↓
3. Create NotebookLM notebook
        ↓
4. Configure "Financial Analyst" persona with custom prompt
        ↓
5. Upload all PDFs as sources
        ↓
6. Return notebook ID ✅

Step-by-Step Instructions

Step 0: Environment Setup (First Run Only)

Crucial: Before running the script, verify the environment is ready.

Check Dependencies: Verify if the dependencies are installed (specifically notebooklm and playwright).
Install: If dependencies are missing or this is the first run, execute the installation script:
```
chmod +x install.sh && ./install.sh
```
Authenticate: Ensure the user has authenticated with NotebookLM (notebooklm login). If not, ask them to do so.

Step 1: Run Main Orchestration Script

Run the script from the skill directory:

python3 scripts/run.py <stock_code_or_name>

Examples:

python3 scripts/run.py 600350 - A-share stock
python3 scripts/run.py 山东高速 - A-share by name
python3 scripts/run.py 00700 - Hong Kong stock (Tencent)
python3 scripts/run.py 腾讯控股 - Hong Kong by name

This script handles everything:

Downloads reports to a temp directory.
Creates a NotebookLM notebook.
Configures the notebook with assets/financial_analyst_prompt.txt.
Uploads all PDFs.
Cleans up temp files.

Step 2: Report to User

Provide:

✅ Number of reports downloaded & uploaded
📚 NotebookLM notebook ID
📊 Market type (A-share or Hong Kong)
💡 Remind user the notebook creates a "Financial Analyst" persona for deep analysis.

Configuration

The skill uses a custom system prompt located at: assets/financial_analyst_prompt.txt

This prompt configures NotebookLM to act as a "Financial Report Analyst" based on "Hand-holding Financial Reporting" methodology.

Error Handling

Error	Solution
Stock not found	Check if code is valid A-share or Hong Kong stock
NotebookLM CLI not found	Ensure `notebooklm-py` matches `requirements.txt` and is in PATH
Auth missing	Run `notebooklm login` to authenticate via browser
Upload failed	Check network connection and NotebookLM service status

Dependencies

Python 3.8+
httpx package
notebooklm-py package
playwright (for authentication)

Quick Reference

A-share Report Types

Report Type	Category Code	Period
Annual	`category_ndbg_szsh`	Previous 5 years
Semi-Annual	`category_bndbg_szsh`	Current year
Q1 Report	`category_yjdbg_szsh`	Current year
Q3 Report	`category_sjdbg_szsh`	Current year

Hong Kong Stock Differences

Aspect	A-share	Hong Kong
Market code	`szse`	`hke`
Categories	Uses category codes	Empty categories
Search key	Uses Chinese search terms	Empty search key
Report naming	`YYYY年年度报告`	May use Arabic/Chinese numerals
Search period	Following year (March-June)	Same year or following year

how to use cninfo-to-notebooklm

How to use cninfo-to-notebooklm on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add cninfo-to-notebooklm

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm

The skills CLI fetches cninfo-to-notebooklm from GitHub repository jarodise/cninfo2notebookllm and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/cninfo-to-notebooklm

Reload or restart Cursor to activate cninfo-to-notebooklm. Access the skill through slash commands (e.g., /cninfo-to-notebooklm) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

1.Install product management skill
2.Start with user story generation for known feature
3.Progress to competitive analysis: research 2-3 competitors
4.Use for roadmap prioritization: apply RICE/ICE scoring
5.Draft stakeholder communications and refine based on feedback
6.Build template library for recurring PM tasks
7.Share effective prompts with product team

Common Pitfalls

⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition

✗ Don't

−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture

💡 Pro Tips

★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

1Basic: user stories, feature specs, status updates
2Intermediate: competitive analysis, prioritization frameworks, PRDs
3Advanced: product strategy, go-to-market planning, OKR setting
4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.4★★★★★51 reviews

★★★★★Shikha Mishra· Dec 24, 2024
cninfo-to-notebooklm reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Daniel Tandon· Dec 24, 2024
cninfo-to-notebooklm has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Meera Haddad· Dec 8, 2024
Useful defaults in cninfo-to-notebooklm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Kwame Bansal· Nov 27, 2024
Registry listing for cninfo-to-notebooklm matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Yash Thakker· Nov 15, 2024
I recommend cninfo-to-notebooklm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Mateo Bansal· Nov 15, 2024
cninfo-to-notebooklm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Sakshi Patil· Nov 11, 2024
cninfo-to-notebooklm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Noor Johnson· Oct 18, 2024
cninfo-to-notebooklm reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Dhruvi Jain· Oct 6, 2024
Useful defaults in cninfo-to-notebooklm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Kwame Malhotra· Oct 6, 2024
We added cninfo-to-notebooklm from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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