Moonpay Export Data logo

Moonpay Export Data

Organization
moonpay
moonpay-export-data

Export portfolio balances and transaction history to CSV or JSON files. Use for spreadsheets, tax reporting, or record-keeping.

Overview

Publishermoonpay
Repositoryskills
Skill namemoonpay-export-data
Stars
112
Forks
30
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by moonpay on GitHub. Read the source before you install it.

Installation

Install the Moonpay Export Data AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/moonpay/skills/tree/main/skills/moonpay-export-data
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/moonpay/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/moonpay-export-data .claude/skills/moonpay-export-data
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Moonpay Export Data in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Moonpay Export Data on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Moonpay Export Data is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Export data

Goal

Save portfolio snapshots and transaction history to CSV or JSON files using mp output piped through jq. Useful for spreadsheets, tax reporting, and record-keeping.

Prerequisites

  • jq installed: which jq
  • Default output directory: ~/Documents/moonpay/ (create if needed)

Portfolio to CSV

Export all token balances for a wallet on a specific chain:

bash
mkdir -p ~/Documents/moonpay

# Header + data
echo "symbol,name,amount,usd_value,price" > ~/Documents/moonpay/portfolio-$(date +%Y%m%d).csv

mp --json token balance list --wallet <address> --chain solana \
  | jq -r '.items[] | [.symbol, .name, .balance.amount, .balance.value, .balance.price] | @csv' \
  >> ~/Documents/moonpay/portfolio-$(date +%Y%m%d).csv

Multi-chain portfolio

Loop over chains and append to one file:

bash
FILE=~/Documents/moonpay/portfolio-$(date +%Y%m%d).csv
echo "chain,symbol,name,amount,usd_value,price" > "$FILE"

for CHAIN in solana ethereum base polygon arbitrum; do
  mp --json token balance list --wallet <address> --chain "$CHAIN" \
    | jq -r --arg chain "$CHAIN" '.items[] | [$chain, .symbol, .name, .balance.amount, .balance.value, .balance.price] | @csv' \
    >> "$FILE" 2>/dev/null
done

Note: EVM wallets share one address across all EVM chains. Solana uses a different address.

Transaction history to CSV

Export swap and bridge history. These are transactions executed via the CLI and registered with swaps.xyz — not all on-chain activity.

bash
echo "date,type,from_chain,from_token,from_amount,to_chain,to_token,to_amount,usd,status" \
  > ~/Documents/moonpay/transactions-$(date +%Y%m%d).csv

mp --json transaction list --wallet <address> \
  | jq -r '.items[] | [
      .transactionId,
      .type,
      .from.chain, .from.token, .from.amount,
      .to.chain, .to.token, .to.amount,
      .usd,
      .status
    ] | @csv' \
  >> ~/Documents/moonpay/transactions-$(date +%Y%m%d).csv

Filter by chain

bash
mp --json transaction list --wallet <address> --chain solana \
  | jq -r '.items[] | ...' >> transactions.csv

Portfolio to JSON

For structured data or programmatic use:

bash
mp --json token balance list --wallet <address> --chain solana \
  | jq '.items | map({symbol, amount: .balance.amount, usd: .balance.value})' \
  > ~/Documents/moonpay/portfolio-$(date +%Y%m%d).json

Open exported file

After writing the file, open it in the default app:

bash
# macOS — opens in Numbers/Excel
open ~/Documents/moonpay/portfolio-$(date +%Y%m%d).csv

# Linux
xdg-open ~/Documents/moonpay/portfolio-$(date +%Y%m%d).csv

Tips

  • jq @csv handles proper CSV escaping (quotes, commas in values)
  • Date-stamp filenames to keep a history: portfolio-20260222.csv
  • mp transaction list only includes CLI-executed swaps/bridges registered via swaps.xyz, not all on-chain transactions
  • For a quick summary without exporting, use mp token balance list --wallet <addr> --chain <chain> directly
  • EVM address is the same across ethereum, base, polygon, arbitrum, optimism, bnb, avalanche

Related skills

  • moonpay-check-wallet — View balances interactively
  • moonpay-block-explorer — Open exported transactions in block explorers
  • moonpay-trading-automation — Combine with scheduled exports for daily snapshots

Frequently asked questions

What does the Moonpay Export Data AI skill do?

Export portfolio balances and transaction history to CSV or JSON files. Use for spreadsheets, tax reporting, or record-keeping.

Why use Moonpay Export Data on TypingMind?

Because you install it once and use it with any model. Moonpay Export Data is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Moonpay Export Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/moonpay/skills/tree/main/skills/moonpay-export-data. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Moonpay Export Data?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Moonpay Export Data?

As many as you like. As long as a model supports skills, you can use Moonpay Export Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Moonpay Export Data AI skill free?

Yes. It is published on GitHub by moonpay under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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