Overview | Prerequisites | Instructions | Output | Error Handling | Examples | Resources
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontracking-crypto-pricesExecute the skills CLI command in your project's root directory to begin installation:
Fetches tracking-crypto-prices from jeremylongshore/claude-code-plugins-plus-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 tracking-crypto-prices. Access via /tracking-crypto-prices 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
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Overview | Prerequisites | Instructions | Output | Error Handling | Examples | Resources
Foundation skill providing real-time and historical cryptocurrency price data for 10,000+ coins. This is the data layer for the crypto plugin ecosystem -- 10+ other skills depend on it for price information.
pip install requests pandas yfinancepip install python-dotenv for API key management${CLAUDE_SKILL_DIR}/config/settings.yaml or set COINGECKO_API_KEY env varpython ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbols BTC,ETH,SOL
top10, defi, layer2, stablecoins, memecoins):
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10 # Top 10 by market cap
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist defi # DeFi tokens
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist layer2 # Layer 2 tokens
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 30d
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 90d --output csv
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol ETH --start 2024-01-01 --end 2024-12-31 # 2024 full year
${CLAUDE_SKILL_DIR}/config/settings.yaml to customize cache TTLs, default currency, and custom watchlists. See references/implementation.md for the full configuration reference.--format json): Machine-readable with prices array and metadata--output csv): OHLCV historical data export to ${CLAUDE_SKILL_DIR}/data/See ${CLAUDE_SKILL_DIR}/references/implementation.md for detailed output format examples.
| Error | Cause | Solution |
|---|---|---|
Unknown symbol: XYZ |
Invalid ticker | Check spelling, use --list to search |
Rate limit exceeded |
Too many API calls | Wait 60s, or add API key for higher limits |
Network error |
No internet | Check connection; cached data used automatically |
Cache stale |
Data older than TTL | Shown with warning, refreshes on next call |
The skill auto-manages rate limits: cache first, exponential backoff, yfinance fallback, stale cache as last resort.
Quick price check:
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC
# Output: BTC (Bitcoin) $97,234.56 USD +2.34% (24h) | Vol: $28.5B | MCap: $1.92T
Watchlist scan:
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10
Historical export:
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol ETH --period 90d --output csv
# Creates: ${CLAUDE_SKILL_DIR}/data/ETH_90d_[date].csv
${CLAUDE_SKILL_DIR}/references/implementation.md - Output formats, full config, integration guide, file mapMake 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.
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parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
tracking-crypto-prices has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: tracking-crypto-prices is focused, and the summary matches what you get after install.
We added tracking-crypto-prices from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tracking-crypto-prices fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added tracking-crypto-prices from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tracking-crypto-prices fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
tracking-crypto-prices has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend tracking-crypto-prices for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in tracking-crypto-prices — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: tracking-crypto-prices is focused, and the summary matches what you get after install.
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