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stock-info-explorer▌

sundial-org/awesome-openclaw-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill stock-info-explorer
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summary

This skill fetches OHLCV data from Yahoo Finance via yfinance and computes technical indicators locally (no API key required).

skill.md

Stock Information Explorer

This skill fetches OHLCV data from Yahoo Finance via yfinance and computes technical indicators locally (no API key required).

Commands

1) Real-time Quotes (price)

uv run --script scripts/yf.py price TSLA
# shorthand
uv run --script scripts/yf.py TSLA

2) Fundamental Summary (fundamentals)

uv run --script scripts/yf.py fundamentals NVDA

3) ASCII Trend (history)

uv run --script scripts/yf.py history AAPL 6mo

4) Professional Chart (pro)

Generates a high-resolution PNG chart. By default it includes Volume and Moving Averages (MA5/20/60).

# candle (default)
uv run --script scripts/yf.py pro 000660.KS 6mo

# line
uv run --script scripts/yf.py pro 000660.KS 6mo line

Indicators (optional)

Add flags to include indicator panels/overlays.

uv run --script scripts/yf.py pro TSLA 6mo --rsi --macd --bb
uv run --script scripts/yf.py pro TSLA 6mo --vwap --atr
  • --rsi : RSI(14)
  • --macd: MACD(12,26,9)
  • --bb : Bollinger Bands(20,2)
  • --vwap: VWAP (cumulative for the selected range)
  • --atr : ATR(14)

5) One-shot Report (report) ⭐

Prints a compact text summary (price + fundamentals + indicator signals) and automatically generates a Pro chart with BB + RSI + MACD.

uv run --script scripts/yf.py report 000660.KS 6mo
# output includes: CHART_PATH:/tmp/<...>.png

Ticker Examples

  • US stocks: AAPL, NVDA, TSLA
  • KR stocks: 005930.KS, 000660.KS
  • Crypto: BTC-USD, ETH-KRW
  • Forex: USDKRW=X

Notes / Limitations

  • Indicators are computed locally from price data (Yahoo does not reliably provide precomputed indicator series).
  • Data quality may vary by ticker/market (e.g., missing volume for some symbols).

Korean note: 실시간 시세 + 펀더멘털 + 기술지표(차트/요약)까지 한 번에 처리하는 종합 주식 분석 스킬입니다.

how to use stock-info-explorer

How to use stock-info-explorer 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 stock-info-explorer
2

Execute installation command

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

$npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill stock-info-explorer

The skills CLI fetches stock-info-explorer from GitHub repository sundial-org/awesome-openclaw-skills 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/stock-info-explorer

Reload or restart Cursor to activate stock-info-explorer. Access the skill through slash commands (e.g., /stock-info-explorer) 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

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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)
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general reviews

Ratings

4.7★★★★★53 reviews
  • ★★★★★Noah Patel· Dec 24, 2024

    We added stock-info-explorer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Dhruvi Jain· Dec 20, 2024

    stock-info-explorer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Benjamin Sanchez· Dec 20, 2024

    Keeps context tight: stock-info-explorer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Chinedu Gill· Dec 8, 2024

    stock-info-explorer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Charlotte Brown· Nov 27, 2024

    stock-info-explorer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Henry Thompson· Nov 23, 2024

    Registry listing for stock-info-explorer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Ama White· Nov 15, 2024

    Keeps context tight: stock-info-explorer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Oshnikdeep· Nov 11, 2024

    stock-info-explorer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Chinedu Torres· Nov 11, 2024

    We added stock-info-explorer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Charlotte Tandon· Oct 18, 2024

    We added stock-info-explorer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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