This skill fetches OHLCV data from Yahoo Finance via yfinance and computes technical indicators locally (no API key required).
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstock-info-explorerExecute the skills CLI command in your project's root directory to begin installation:
Fetches stock-info-explorer from sundial-org/awesome-openclaw-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate stock-info-explorer. Access via /stock-info-explorer in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This skill fetches OHLCV data from Yahoo Finance via yfinance and computes technical indicators locally (no API key required).
price)uv run --script scripts/yf.py price TSLA
# shorthand
uv run --script scripts/yf.py TSLA
fundamentals)uv run --script scripts/yf.py fundamentals NVDA
history)uv run --script scripts/yf.py history AAPL 6mo
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
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)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
AAPL, NVDA, TSLA005930.KS, 000660.KSBTC-USD, ETH-KRWUSDKRW=XKorean note: 실시간 시세 + 펀더멘털 + 기술지표(차트/요약)까지 한 번에 처리하는 종합 주식 분석 스킬입니다.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added stock-info-explorer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
stock-info-explorer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: stock-info-explorer is the kind of skill you can hand to a new teammate without a long onboarding doc.
stock-info-explorer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
stock-info-explorer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for stock-info-explorer matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: stock-info-explorer is the kind of skill you can hand to a new teammate without a long onboarding doc.
stock-info-explorer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added stock-info-explorer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added stock-info-explorer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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