Agent skill

Tracking Crypto Prices

by aAAaqwq in aAAaqwq/AGI-Super-Team

Foundation skill providing real-time and historical cryptocurrency price data.

MITAuto-check passedBusiness, Finance & HR

Install Tracking Crypto Prices

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill tracking-crypto-prices -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team tracking-crypto-prices --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/market-price-tracker .claude/skills/tracking-crypto-prices && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tracking-crypto-prices
GitHub stars
105
Token cost
~2.1k tokens
SKILL.md length
405 words
Files
11 (incl. scripts, references)
Skills in repo
167
Repo updated
First seen
Licence
MIT

At a glance

Foundation skill providing real-time and historical cryptocurrency price data.

  • Works in 4 steps: Quick Price Check → Use Watchlists → Fetch Historical Data → …
  • Checking crypto prices
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 6 more sections
  • Runs Python scripts from its folder; calls python and pip; needs COINGECKO_API_KEY

What it does

Tracking Crypto Prices is an agent skill from aAAaqwq/AGI-Super-Team. Foundation skill providing real-time and historical cryptocurrency price data. This skill is the data layer for the crypto plugin ecosystem - 10+ othe Track real-time cryptocurrency prices across exchanges with historical data and alerts. Provides price data infrastructure for dependent skills (portfolio, tax, DeFi, arbitrage). Use when checking crypto prices, monitoring markets, or fetching historical price data. Trigger with phrases like "check price", "BTC price", "crypto prices", "price history", "get quote…

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `ARD.md`, `PRD.md` and `config/settings.yaml`).

It sits in Business, Finance & HR, covering Crypto and DeFi analysis. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • Checking crypto prices
  • Monitoring markets
  • Fetching historical price data
  • With phrases like check price

Example prompts

  • “check price”
  • “BTC price”
  • “crypto prices”
  • “/tracking-crypto-prices”

Requirements

  • Python 3
  • A credential in COINGECKO_API_KEY
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(python:*)

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Quick Price Check
  2. Use Watchlists
  3. Fetch Historical Data
  4. Configure Settings

What it can do on your machine

Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(python:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • coingecko.com
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • COINGECKO_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tracking Crypto Prices loads about 2.1k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 154 tokens; SKILL.md has 405 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~154
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 405 words, ~2,131 tokens.

Download SKILL.mdSave it as .claude/skills/tracking-crypto-prices/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
tracking-crypto-prices
description
Foundation skill providing real-time and historical cryptocurrency price data. This skill is the data layer for the crypto plugin ecosystem - 10+ othe Track real-time cryptocurrency prices across exchanges with historical data and alerts. Provides price data infrastructure for dependent skills (portfolio, tax, DeFi, arbitrage). Use when checking crypto prices, monitoring markets, or fetching historical price data. Trigger with phrases like "check price", "BTC price", "crypto prices", "price history", "get quote for", "what's ETH trading at", "show me top coins", or "track my watchlist".
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(python:*)
version
2.0.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT

Tracking Crypto Prices

Overview

Foundation skill providing real-time and historical cryptocurrency price data. This skill is the data layer for the crypto plugin ecosystem - 10+ other skills depend on it for price information.

Key Capabilities:

  • Real-time prices for 10,000+ cryptocurrencies
  • Historical OHLCV data (1 day to all-time)
  • Multi-currency support (USD, EUR, GBP, 30+ currencies)
  • Intelligent caching to minimize API calls
  • Predefined and custom watchlists
  • Export to CSV/JSON for analysis

Dependent Skills: This skill provides price data to: market-movers-scanner, crypto-portfolio-tracker, crypto-tax-calculator, defi-yield-optimizer, liquidity-pool-analyzer, staking-rewards-optimizer, crypto-derivatives-tracker, dex-aggregator-router, options-flow-analyzer, arbitrage-opportunity-finder.

Prerequisites

Install required dependencies:

bash
pip install requests pandas yfinance

Optional for advanced features:

bash
pip install python-dotenv  # For API key management

API Setup (optional, for higher rate limits):

  1. Get free API key from https://www.coingecko.com/en/api
  2. Add to {baseDir}/config/settings.yaml or set environment variable COINGECKO_API_KEY

Instructions

Step 1: Quick Price Check

Get current price for any cryptocurrency:

bash
python {baseDir}/scripts/price_tracker.py --symbol BTC

Check multiple assets:

bash
python {baseDir}/scripts/price_tracker.py --symbols BTC,ETH,SOL
Step 2: Use Watchlists

Scan predefined watchlists:

bash
# Top 10 by market cap
python {baseDir}/scripts/price_tracker.py --watchlist top10

# DeFi tokens
python {baseDir}/scripts/price_tracker.py --watchlist defi

# Layer 2 tokens
python {baseDir}/scripts/price_tracker.py --watchlist layer2

Available watchlists: top10, defi, layer2, stablecoins, memecoins

Step 3: Fetch Historical Data

Get OHLCV (Open, High, Low, Close, Volume) history:

bash
# Last 30 days
python {baseDir}/scripts/price_tracker.py --symbol BTC --period 30d

# Last 90 days with CSV export
python {baseDir}/scripts/price_tracker.py --symbol BTC --period 90d --output csv

# Custom date range
python {baseDir}/scripts/price_tracker.py --symbol ETH --start 2024-01-01 --end 2024-12-31
Step 4: Configure Settings

Edit {baseDir}/config/settings.yaml to customize:

yaml
cache:
  spot_ttl: 30          # Seconds to cache spot prices
  historical_ttl: 3600  # Seconds to cache historical data

currency:
  default: usd          # Default fiat currency

watchlists:
  custom:               # Add your own watchlist
    - BTC
    - ETH
    - SOL

Output

Price Table (Default)
================================================================================
  CRYPTO PRICES                                           Updated: [timestamp]
================================================================================

  Symbol     Price (USD)      24h Change     Volume (24h)      Market Cap
--------------------------------------------------------------------------------
  BTC       $97,234.56          +2.34%      $28.5B            $1.92T
  ETH        $3,456.78          +1.87%      $12.3B            $415.2B
  SOL          $142.34          +5.12%       $2.1B             $61.4B
--------------------------------------------------------------------------------

  Total 24h Change: +2.44% (weighted)

================================================================================
JSON Output (--format json)
json
{
  "prices": [
    {
      "symbol": "BTC",
      "name": "Bitcoin",
      "price": 97234.56,
      "currency": "USD",
      "change_24h": 2.34,
      "volume_24h": 28500000000,
      "market_cap": 1920000000000,
      "timestamp": "[timestamp]",
      "source": "coingecko"
    }
  ],
  "meta": {
    "count": 1,
    "currency": "USD",
    "cached": false
  }
}
Historical CSV Export
csv
date,open,high,low,close,volume
[date],95000.00,96500.00,94200.00,96100.00,25000000000
[date],96100.00,97800.00,95800.00,97500.00,27000000000

Configuration

Edit {baseDir}/config/settings.yaml:

yaml
# API Configuration
api:
  coingecko:
    api_key: ${COINGECKO_API_KEY}  # Optional, from env
    use_pro: false
  yfinance:
    enabled: true                   # Fallback source

# Cache Configuration
cache:
  enabled: true
  spot_ttl: 30                      # Spot price TTL (seconds)
  historical_ttl: 3600              # Historical data TTL (seconds)
  directory: ./data

# Display Configuration
currency:
  default: usd
  supported:
    - usd
    - eur
    - gbp
    - jpy
    - cad
    - aud

# Predefined Watchlists
watchlists:
  top10:
    - bitcoin
    - ethereum
    - tether
    - binancecoin
    - solana
    - ripple
    - cardano
    - avalanche-2
    - dogecoin
    - polkadot

  defi:
    - uniswap
    - aave
    - chainlink
    - maker
    - compound-governance-token
    - curve-dao-token
    - sushi

  layer2:
    - matic-network
    - arbitrum
    - optimism
    - immutable-x

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Common Errors
ErrorCauseSolution
Unknown symbol: XYZInvalid cryptocurrency tickerCheck spelling, use --list to search
Rate limit exceededToo many API callsWait 60s, or use API key for higher limits
Network errorNo internet connectionCheck connection, cached data will be used
Cache staleCached data older than TTLData still shown with warning, will refresh
Show full SKILL.md (156 more words)Show less
Rate Limit Handling

The skill automatically:

  1. Uses cached data when available
  2. Applies exponential backoff on rate limits
  3. Falls back to yfinance if CoinGecko fails
  4. Shows stale cache data with warning as last resort

Examples

See {baseDir}/references/examples.md for detailed examples including:

  • Multi-timeframe analysis
  • Portfolio value calculation
  • Price alert setup
  • Integration with other skills
Example 1: Quick Price Check
bash
python {baseDir}/scripts/price_tracker.py --symbol BTC

Output:

BTC (Bitcoin)
$97,234.56 USD
+2.34% (24h) | Vol: $28.5B | MCap: $1.92T
Example 2: Watchlist Scan
bash
python {baseDir}/scripts/price_tracker.py --watchlist top10
Example 3: Historical Export
bash
python {baseDir}/scripts/price_tracker.py --symbol ETH --period 90d --output csv

Creates: {baseDir}/data/ETH_90d_[date].csv

Integration with Other Skills

This skill provides the price data foundation for other crypto skills.

Direct Import (recommended for Python skills):

python
from price_tracker import get_current_prices, get_historical_prices

# Get prices for portfolio valuation
prices = get_current_prices(["BTC", "ETH", "SOL"])

CLI Subprocess (for non-Python or isolation):

bash
PRICES=$(python {baseDir}/scripts/price_tracker.py --symbols BTC,ETH --format json)

Shared Cache (efficient for batch): Multiple skills can read from {baseDir}/data/cache.json to avoid redundant API calls.

Files

FilePurpose
scripts/price_tracker.pyMain CLI entry point
scripts/api_client.pyCoinGecko/yfinance abstraction
scripts/cache_manager.pyCache read/write/invalidation
scripts/formatters.pyOutput formatting
config/settings.yamlUser configuration
data/cache.jsonPrice cache (auto-generated)

Resources

  • CoinGecko API - Primary data source
  • yfinance - Fallback for historical data
  • PRD.md - Product requirements
  • ARD.md - Architecture documentation

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (scripts, references) in skills/market-price-tracker of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • ARD.md
  • PRD.md
  • config/settings.yaml
  • references/errors.md
  • references/examples.md
  • references/implementation.md
  • scripts/api_client.py
  • scripts/cache_manager.py
  • scripts/formatters.py
  • scripts/price_tracker.py

Open the folder on GitHubat commit 7cefd81

Compare with similar skills

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Questions about Tracking Crypto Prices

What does Tracking Crypto Prices do?

Foundation skill providing real-time and historical cryptocurrency price data. Tracking Crypto Prices is an agent skill from aAAaqwq/AGI-Super-Team. Foundation skill providing real-time and historical cryptocurrency price data.

When should I use Tracking Crypto Prices?

Tracking Crypto Prices fits situations like: checking crypto prices; monitoring markets; fetching historical price data; with phrases like check price.

How do I install Tracking Crypto Prices in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill tracking-crypto-prices -a claude-code`. Or copy the skill folder (skills/market-price-tracker in aAAaqwq/AGI-Super-Team) into .claude/skills/tracking-crypto-prices in your project. Claude Code loads it when a task matches its description.

How do I install Tracking Crypto Prices in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill tracking-crypto-prices -a codex`. Or copy the skill folder (skills/market-price-tracker in aAAaqwq/AGI-Super-Team) into .agents/skills/tracking-crypto-prices in your project. Codex loads it when a task matches its description.

Can I use Tracking Crypto Prices in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill tracking-crypto-prices -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tracking-crypto-prices, .gemini/skills/tracking-crypto-prices, .github/skills/tracking-crypto-prices and .opencode/skills/tracking-crypto-prices in your project.

What does Tracking Crypto Prices need to run?

Going by SKILL.md and its folder, Tracking Crypto Prices needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named COINGECKO_API_KEY. Our summary lists: Python 3; A credential in COINGECKO_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(python:*).

Does Tracking Crypto Prices access the network?

SKILL.md names 2 domains. As links in the text: coingecko.com and github.com. This is read from the text; nothing was executed.

Is Tracking Crypto Prices safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Tracking Crypto Prices use?

Tracking Crypto Prices is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tracking Crypto Prices use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.

What are the alternatives to Tracking Crypto Prices?

Skills that share tags, products or a category with Tracking Crypto Prices: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Polyclaw (chainstacklabs/polyclaw, 359 stars), Longbridge Research (helsome/folio, 271 stars) and Stock Analysis (24mlight/StockClaw, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tracking Crypto Prices?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.