nansen-trading

nansen-ai/nansen-cli · updated Apr 8, 2026

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$npx skills add https://github.com/nansen-ai/nansen-cli --skill nansen-trading
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summary

Two-step flow: quote then execute. Trades are irreversible once on-chain.

skill.md

Trade

Two-step flow: quote then execute. Trades are irreversible once on-chain.

Prerequisite: You need a wallet first. Run nansen wallet create before trading.

Quote

nansen trade quote \
  --chain solana \
  --from SOL \
  --to USDC \
  --amount 1000000000

Symbols resolve automatically: SOL, ETH, USDC, USDT, WETH. Raw addresses also work.

Execute

nansen trade execute --quote <quote-id>

Cross-Chain Swap

Bridge tokens between Solana and Base using --to-chain:

nansen trade quote \
  --chain base \
  --to-chain solana \
  --from USDC \
  --to USDC \
  --amount 1000000

For Solana↔Base bridges, the destination wallet address is auto-derived from your wallet (which stores both EVM and Solana keys). Override with --to-wallet <address> if needed.

Note: you need gas on the source chain to submit the initial transaction (e.g. SOL for Solana→Base, ETH for Base→Solana).

Bridge Status

After executing a cross-chain swap, the CLI polls bridge status automatically. To check manually:

nansen trade bridge-status --tx-hash <hash> --from-chain base --to-chain solana

Agent pattern

# Pipe quote ID directly into execute
quote_id=$(nansen trade quote --chain solana --from SOL --to USDC --amount 1000000000 2>&1 | grep "Quote ID:" | awk '{print $NF}')
nansen trade execute --quote "$quote_id"

Common Token Addresses

Token Chain Address
SOL Solana So11111111111111111111111111111111111111112
USDC Solana EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v
ETH Base 0xeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee
USDC Base 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913

Amounts

By default, --amount accepts integer base units (lamports, wei, etc). Use --amount-unit token for human-readable token amounts, or --amount-unit usd to specify a USD value — the CLI resolves price and decimals automatically.

# Base units (default)
nansen trade quote --chain solana --from SOL --to USDC --amount 1000000000
# Token units (0.5 SOL = 500000000 lamports, resolved automatically)
nansen trade quote --chain solana --from SOL --to USDC --amount 0.5 --amount-unit token
# USD amount ($50 worth of SOL, price resolved via Nansen search API)
nansen trade quote --chain solana --from SOL --to USDC --amount 50 --amount-unit usd
Token Decimals 1 token =
SOL 9 1000000000
ETH 18 1000000000000000000
USDC 6 1000000

If the user says "$20 worth of X", use --amount-unit usd directly — no manual conversion needed. The CLI fetches the current price and converts for you.

Flags

trade quote flags

Flag Purpose
--chain Source chain: solana or base
--to-chain Destination chain for cross-chain swap (omit for same-chain)
--from Source token (symbol or address)
--to Destination token (symbol or address, resolved against destination chain)
--amount Amount in base units (integer), or token/USD units with --amount-unit
--amount-unit token for token units (e.g. 0.5 SOL), usd for USD (e.g. 50), base = default
--wallet Wallet name (default: default wallet)
--to-wallet Destination wallet address (auto-derived for cross-chain if omitted)
--slippage Slippage tolerance as decimal (e.g. 0.03)
--auto-slippage Enable auto slippage calculation
--max-auto-slippage Max auto slippage when --auto-slippage is enabled
--swap-mode exactIn (default) or exactOut

trade execute flags

Flag Purpose
--quote Quote ID from trade quote
--wallet Wallet name (default: default wallet)
--quote-index Pin a specific quote by index (0-based) when multiple quotes were returned
--no-simulate Skip pre-broadcast simulation

trade bridge-status flags

Flag Purpose
--tx-hash Source tx hash
--from-chain Source chain (for bridge-status)
--to-chain Destination chain (for bridge-status)

Environment Variables

Var Purpose
NANSEN_WALLET_PASSWORD Required for trade execute. Wallet encryption password — persisted in ~/.nansen/.env. Source before executing: source ~/.nansen/.env && nansen trade execute ...
NANSEN_API_KEY API key (also set via nansen login)

Agents: Never hold a wallet password only in session memory. If NANSEN_WALLET_PASSWORD is not in ~/.nansen/.env, follow the setup flow in the nansen-wallet-manager skill Password Policy to generate and persist one before proceeding.

Notes

  • Quotes expire after ~1 hour. If execute fails, get a fresh quote.
  • A wallet is required even for quotes (the API builds sender-specific transactions).
  • ERC-20 swaps may require an approval step — execute handles this automatically.

Source

how to use nansen-trading

How to use nansen-trading 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 nansen-trading
2

Execute installation command

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

$npx skills add https://github.com/nansen-ai/nansen-cli --skill nansen-trading

The skills CLI fetches nansen-trading from GitHub repository nansen-ai/nansen-cli 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/nansen-trading

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

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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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

4.563 reviews
  • Ishan Choi· Dec 28, 2024

    I recommend nansen-trading for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Layla Li· Dec 8, 2024

    Solid pick for teams standardizing on skills: nansen-trading is focused, and the summary matches what you get after install.

  • Fatima Abbas· Dec 8, 2024

    nansen-trading reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 4, 2024

    Solid pick for teams standardizing on skills: nansen-trading is focused, and the summary matches what you get after install.

  • Fatima Rahman· Dec 4, 2024

    I recommend nansen-trading for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sophia Tandon· Nov 27, 2024

    We added nansen-trading from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Piyush G· Nov 23, 2024

    We added nansen-trading from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Maya Yang· Nov 23, 2024

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

  • Sophia Mensah· Nov 19, 2024

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

  • Mei Gill· Nov 15, 2024

    nansen-trading reduced setup friction for our internal harness; good balance of opinion and flexibility.

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