explainx.ainewsletter3.4k
Productivity

findata-toolkit-cn▌

geeksfino/finskills · updated May 20, 2026

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

$npx skills add https://github.com/geeksfino/finskills --skill findata-toolkit-cn
0 commentsdiscussion
summary

自包含的数据工具包，提供A股市场实时金融数据和定量计算。所有数据源免费，无需API密钥。

skill.md

金融数据工具包 — A股市场

自包含的数据工具包，提供A股市场实时金融数据和定量计算。所有数据源免费，无需API密钥。

安装

安装依赖（一次性）：

pip install -r requirements.txt

可用工具

所有脚本位于 scripts/ 目录。从技能根目录运行。

1. A股数据 (scripts/stock_data.py)

通过 AKShare 获取A股基本面、行情、财务指标。

命令 用途
python scripts/stock_data.py 600519 基本信息（贵州茅台）
python scripts/stock_data.py 600519 --metrics 完整财务指标（估值、盈利、杠杆、增长）
python scripts/stock_data.py 600519 --history 历史OHLCV行情
python scripts/stock_data.py 600519 --financials 利润表、资产负债表、现金流量表
python scripts/stock_data.py 600519 --insider 董监高增减持数据
python scripts/stock_data.py --northbound 北向资金流向（沪股通/深股通）
python scripts/stock_data.py 600519 000858 --screen 批量筛选

2. 宏观数据 (scripts/macro_data.py)

通过 AKShare 获取中国宏观经济指标。

命令 用途
python scripts/macro_data.py --dashboard 完整宏观仪表盘
python scripts/macro_data.py --rates 利率数据（LPR、Shibor）
python scripts/macro_data.py --inflation CPI/PPI数据
python scripts/macro_data.py --pmi PMI数据（制造业/非制造业）
python scripts/macro_data.py --social-financing 社会融资规模 + M2
python scripts/macro_data.py --cycle 经济周期阶段判断

数据来源

来源 数据内容 API密钥
AKShare A股行情、财务数据、董监高交易、北向资金、宏观指标 无需

输出格式

所有脚本以 JSON 输出到标准输出，便于解析。错误信息输出到标准错误。

配置

可选：编辑 config/data_sources.yaml 自定义速率限制或添加付费数据源API密钥。

how to use findata-toolkit-cn

How to use findata-toolkit-cn on Cursor

AI-first code editor with Composer

1

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 findata-toolkit-cn
2

Execute installation command

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

$npx skills add https://github.com/geeksfino/finskills --skill findata-toolkit-cn

The skills CLI fetches findata-toolkit-cn from GitHub repository geeksfino/finskills and configures it for Cursor.

3

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
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/findata-toolkit-cn

Reload or restart Cursor to activate findata-toolkit-cn. Access the skill through slash commands (e.g., /findata-toolkit-cn) 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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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▌

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

4.6★★★★★47 reviews
  • ★★★★★Fatima Taylor· Dec 24, 2024

    findata-toolkit-cn reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Liam Khan· Dec 20, 2024

    findata-toolkit-cn is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Shikha Mishra· Dec 16, 2024

    Registry listing for findata-toolkit-cn matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Ganesh Mohane· Dec 12, 2024

    findata-toolkit-cn has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Kofi Rao· Dec 4, 2024

    findata-toolkit-cn has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Nia Sethi· Nov 23, 2024

    Solid pick for teams standardizing on skills: findata-toolkit-cn is focused, and the summary matches what you get after install.

  • ★★★★★Kaira Ramirez· Nov 15, 2024

    findata-toolkit-cn is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Nia Zhang· Nov 11, 2024

    findata-toolkit-cn reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Sakshi Patil· Nov 3, 2024

    Solid pick for teams standardizing on skills: findata-toolkit-cn is focused, and the summary matches what you get after install.

  • ★★★★★Chaitanya Patil· Oct 22, 2024

    We added findata-toolkit-cn from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

showing 1-10 of 47

1 / 5