$22
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstock-analysisExecute the skills CLI command in your project's root directory to begin installation:
Fetches stock-analysis from gracefullight/stock-checker 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-analysis. Access via /stock-analysis 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.
Submit your Claude Code skill and start earning
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
4
total installs
4
this week
14
GitHub stars
0
upvotes
Run in your terminal
4
installs
4
this week
14
stars
Analyze US stocks and cryptocurrencies using Yahoo Finance data. Includes portfolio management, crypto support, and periodic analysis.
IMPORTANT: Pass ONLY the stock ticker symbol(s) as arguments. Do NOT add extra text, headers, or formatting in the command.
Analyze a single ticker:
uv run {baseDir}/scripts/analyze_stock.py AAPL
uv run {baseDir}/scripts/analyze_stock.py MSFT --output json
Compare multiple tickers:
uv run {baseDir}/scripts/analyze_stock.py AAPL MSFT GOOGL
Analyze top 20 cryptocurrencies by market cap:
uv run {baseDir}/scripts/analyze_stock.py BTC-USD
uv run {baseDir}/scripts/analyze_stock.py ETH-USD SOL-USD
Supported Cryptos: BTC-USD, ETH-USD, BNB-USD, SOL-USD, XRP-USD, ADA-USD, DOGE-USD, AVAX-USD, DOT-USD, MATIC-USD, LINK-USD, ATOM-USD, UNI-USD, LTC-USD, BCH-USD, XLM-USD, ALGO-USD, VET-USD, FIL-USD, NEAR-USD
Crypto Analysis Dimensions:
Create and manage portfolios with mixed assets (stocks + crypto):
# Create portfolio
uv run {baseDir}/scripts/portfolio.py create "My Portfolio"
# Add assets
uv run {baseDir}/scripts/portfolio.py add AAPL --quantity 100 --cost 150.00
uv run {baseDir}/scripts/portfolio.py add BTC-USD --quantity 0.5 --cost 40000 --portfolio "My Portfolio"
# View holdings with current P&L
uv run {baseDir}/scripts/portfolio.py show
# Update/remove assets
uv run {baseDir}/scripts/portfolio.py update AAPL --quantity 150
uv run {baseDir}/scripts/portfolio.py remove BTC-USD
# List/delete portfolios
uv run {baseDir}/scripts/portfolio.py list
uv run {baseDir}/scripts/portfolio.py delete "My Portfolio"
Portfolio Storage: ~/.clawdbot/skills/stock-analysis/portfolios.json
Analyze all assets in a portfolio with optional period returns:
# Analyze portfolio
uv run {baseDir}/scripts/analyze_stock.py --portfolio "My Portfolio"
# With period returns (daily/weekly/monthly/quarterly/yearly)
uv run {baseDir}/scripts/analyze_stock.py --portfolio "My Portfolio" --period weekly
uv run {baseDir}/scripts/analyze_stock.py -p "My Portfolio" --period monthly
Portfolio Summary includes:
Examples:
uv run {baseDir}/scripts/analyze_stock.py BACuv run {baseDir}/scripts/analyze_stock.py BTC-USDuv run {baseDir}/scripts/analyze_stock.py === BANK OF AMERICA (BAC) - Q4 2025 EARNINGS ===uv run {baseDir}/scripts/analyze_stock.py "Bank of America"Use the ticker symbol only (e.g., BAC, not "Bank of America"). For crypto, use the -USD suffix (e.g., BTC-USD).
The script evaluates eight key dimensions:
Sentiment Sub-Indicators:
Weights auto-normalize if some components unavailable.
Special Timing Checks:
The script detects high-risk scenarios:
The script now scans breaking news (last 24h) for crisis keywords and automatically flags affected stocks:
If a ticker is not in the affected list but its sector is exposed, applies a 15% confidence penalty.
Example Alert:
⚠️ SECTOR RISK: Tech supply chain and consumer market exposure (detected: china, tariff)
Default (text): Concise buy/hold/sell signal with 3-5 bullet points and caveats
JSON: Structured data with scores, metrics, and raw data for further analysis
The script gracefully handles:
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
stock-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for stock-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
stock-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
stock-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
stock-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
stock-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: stock-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added stock-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in stock-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
stock-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
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