Answers: "What tokens are trending and worth a deeper look?"
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnansen-token-screenerExecute the skills CLI command in your project's root directory to begin installation:
Fetches nansen-token-screener from nansen-ai/nansen-cli 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 nansen-token-screener. Access via /nansen-token-screener 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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Answers: "What tokens are trending and worth a deeper look?"
CHAIN=solana
# Screen top tokens by volume
nansen research token screener --chain $CHAIN --timeframe 24h --limit 20
# → token_symbol, price_usd, price_change, volume, buy_volume, market_cap_usd, fdv, liquidity, token_age_days
# Smart money only
nansen research token screener --chain $CHAIN --timeframe 24h --smart-money --limit 20
# Search within screener results (client-side filter)
nansen research token screener --chain $CHAIN --search "bonk"
# Smart money holdings — what SM wallets are holding
nansen research smart-money holdings --chain $CHAIN --labels "Smart Trader" --limit 20
# → token_symbol, value_usd, holders_count, balance_24h_percent_change, share_of_holdings_percent
# Nansen indicators for a specific token
TOKEN=<address>
nansen research token indicators --token $TOKEN --chain $CHAIN
# → risk_indicators, reward_indicators (each with score, signal, signal_percentile)
# Flow intelligence — only use for promising tokens from screener/indicators above
nansen research token flow-intelligence --token $TOKEN --chain $CHAIN
# → net_flow_usd per label: smart_trader, whale, exchange, fresh_wallets, public_figure
Screener timeframes: 5m, 10m, 1h, 6h, 24h, 7d, 30d
Indicators: score is "bullish"/"bearish"/"neutral". signal_percentile > 70 = historically significant. Some tokens return empty indicators — not an error.
Flow intelligence is credit-heavy. Use it to confirm SM conviction on tokens that already look promising from screener + indicators, not as a first pass on every token.
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
Keeps context tight: nansen-token-screener is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: nansen-token-screener is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added nansen-token-screener from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
nansen-token-screener reduced setup friction for our internal harness; good balance of opinion and flexibility.
nansen-token-screener has been reliable in day-to-day use. Documentation quality is above average for community skills.
nansen-token-screener is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in nansen-token-screener — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
nansen-token-screener fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for nansen-token-screener matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for nansen-token-screener matched our evaluation — installs cleanly and behaves as described in the markdown.
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