Agent skill

Cryptofeed

by 2025Emma in 2025Emma/vibe-coding-cn

Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges.

MITAuto-check passedBackend & APIs

Install Cryptofeed

skills CLI
$ npx skills add 2025Emma/vibe-coding-cn --skill cryptofeed -a claude-code

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

GitHub CLI
$ gh skill install 2025Emma/vibe-coding-cn cryptofeed --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/2025Emma/vibe-coding-cn.git skills-src && mkdir -p .claude/skills && cp -r skills-src/i18n/zh/skills/cryptofeed .claude/skills/cryptofeed && 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
cryptofeed
GitHub stars
23k
Used in
1 other repo
Token cost
~1.6k tokens
SKILL.md length
449 words
Files
4 (incl. references)
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges.

  • Tasks that involve Realtime and WebSockets
  • SKILL.md covers When to Use This Skill, Quick Reference, Supported Exchanges (40+) and Supported Data Channels, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Stock and market analysis

What it does

Cryptofeed is an agent skill from 2025Emma/vibe-coding-cn. Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/README.md`, `references/index.md` and `references/other.md`).

It sits in Backend & APIs, covering Realtime and WebSockets, Stock and market analysis and Crypto and DeFi analysis. It works with Python. The licence is MIT.

When your agent uses it

  • Tasks that involve Realtime and WebSockets
  • Tasks that involve Stock and market analysis
  • Tasks that involve Crypto and DeFi analysis

Example prompts

  • “/cryptofeed”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 9b42dd1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    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):

    • github.com
    • pypi.python.org
    • discord.gg

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Cryptofeed loads about 1.6k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 449 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from 2025Emma/vibe-coding-cn at commit 9b42dd1, republished under its MIT licence (© 2025Emma). 449 words, ~1,606 tokens.

Download SKILL.mdSave it as .claude/skills/cryptofeed/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
cryptofeed
description
Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.

Cryptofeed Skill

Comprehensive assistance with Cryptofeed development - a Python library for handling cryptocurrency exchange data feeds with normalized and standardized results.

When to Use This Skill

This skill should be triggered when:

  • Working with real-time cryptocurrency market data
  • Implementing WebSocket streaming from crypto exchanges
  • Building algorithmic trading systems
  • Processing order book updates, trades, or ticker data
  • Connecting to 40+ cryptocurrency exchanges
  • Using normalized exchange APIs
  • Implementing market data backends (Redis, MongoDB, Kafka, etc.)

Quick Reference

Installation
python
# Basic installation
pip install cryptofeed

# With all optional backends
pip install cryptofeed[all]
Basic Usage Pattern
python
from cryptofeed import FeedHandler
from cryptofeed.exchanges import Coinbase, Bitfinex
from cryptofeed.defines import TICKER, TRADES, L2_BOOK

# Define callbacks
def ticker_callback(data):
    print(f"Ticker: {data}")

def trade_callback(data):
    print(f"Trade: {data}")

# Create feed handler
fh = FeedHandler()

# Add exchange feeds
fh.add_feed(Coinbase(
    symbols=['BTC-USD'],
    channels=[TICKER],
    callbacks={TICKER: ticker_callback}
))

fh.add_feed(Bitfinex(
    symbols=['BTC-USD'],
    channels=[TRADES],
    callbacks={TRADES: trade_callback}
))

# Start receiving data
fh.run()
National Best Bid/Offer (NBBO)
python
from cryptofeed import FeedHandler
from cryptofeed.exchanges import Coinbase, Gemini, Kraken

def nbbo_update(symbol, bid, bid_size, ask, ask_size, bid_feed, ask_feed):
    print(f'Pair: {symbol} Bid: {bid:.2f} ({bid_size:.6f}) from {bid_feed}')
    print(f'Ask: {ask:.2f} ({ask_size:.6f}) from {ask_feed}')

f = FeedHandler()
f.add_nbbo([Coinbase, Kraken, Gemini], ['BTC-USD'], nbbo_update)
f.run()

Supported Exchanges (40+)

Major Exchanges
  • Binance (Spot, Futures, Delivery, US)
  • Coinbase, Kraken (Spot, Futures), Bitfinex
  • Gemini, OKX, Bybit
  • Huobi (Spot, DM, Swap), Gate.io (Spot, Futures)
  • KuCoin, Deribit, BitMEX, dYdX
Additional Exchanges

AscendEX, Bequant, bitFlyer, Bithumb, Bitstamp, Blockchain.com, Bit.com, Bitget, Crypto.com, Delta, EXX, FMFW.io, HitBTC, Independent Reserve, OKCoin, Phemex, Poloniex, ProBit, Upbit

Supported Data Channels

Market Data (Public)
  • L1_BOOK - Top of order book
  • L2_BOOK - Price aggregated sizes
  • L3_BOOK - Price aggregated orders
  • TRADES - Executed trades (taker side)
  • TICKER - Price ticker updates
  • FUNDING - Funding rate data
  • OPEN_INTEREST - Open interest statistics
  • LIQUIDATIONS - Liquidation events
  • INDEX - Index price data
  • CANDLES - Candlestick/K-line data
Authenticated Channels (Private)
  • ORDER_INFO - Order status updates
  • TRANSACTIONS - Deposits and withdrawals
  • BALANCES - Wallet balance updates
  • FILLS - User's executed trades

Supported Backends

Write data directly to storage:

  • Redis (Streams and Sorted Sets)
  • Arctic - Time-series database
  • ZeroMQ, InfluxDB v2, MongoDB
  • Kafka, RabbitMQ, PostgreSQL
  • QuasarDB, GCP Pub/Sub, QuestDB
  • UDP/TCP/Unix Sockets

Key Features

Real-time Data Normalization

Cryptofeed normalizes data across all exchanges, providing consistent:

  • Symbol formatting
  • Timestamp handling
  • Data structures
  • Channel names
WebSocket + REST Fallback
  • Primarily uses WebSockets for real-time data
  • Falls back to REST polling when WebSocket unavailable
  • Automatic reconnection handling
Show full SKILL.md (181 more words)Show less
NBBO Aggregation

Create synthetic National Best Bid/Offer feeds by aggregating data across multiple exchanges to find arbitrage opportunities.

Backend Integration

Direct data writing to various storage systems without custom integration code.

Requirements

  • Python: 3.8 or higher
  • Installation: Via pip or from source
  • Optional Dependencies: Install backends as needed

Common Use Cases

Multi-Exchange Price Monitoring
python
fh = FeedHandler()
fh.add_feed(Binance(symbols=['BTC-USDT'], channels=[TICKER], callbacks=ticker_cb))
fh.add_feed(Coinbase(symbols=['BTC-USD'], channels=[TICKER], callbacks=ticker_cb))
fh.add_feed(Kraken(symbols=['BTC-USD'], channels=[TICKER], callbacks=ticker_cb))
fh.run()
Order Book Depth Analysis
python
def book_callback(book, receipt_timestamp):
    print(f"Bids: {len(book.book.bids)} | Asks: {len(book.book.asks)}")

fh.add_feed(Coinbase(
    symbols=['BTC-USD'],
    channels=[L2_BOOK],
    callbacks={L2_BOOK: book_callback}
))
Trade Flow Analysis
python
def trade_callback(trade, receipt_timestamp):
    print(f"{trade.exchange} - {trade.symbol}: {trade.side} {trade.amount} @ {trade.price}")

fh.add_feed(Binance(
    symbols=['BTC-USDT', 'ETH-USDT'],
    channels=[TRADES],
    callbacks={TRADES: trade_callback}
))

Reference Files

This skill includes documentation in references/:

  • getting_started.md - Installation and basic usage
  • README.md - Complete overview and examples

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

Start with basic FeedHandler setup and single exchange connections before adding multiple feeds.

For Advanced Users

Explore NBBO feeds, authenticated channels, and backend integrations for production systems.

For Code Examples

See the quick reference section above and the reference files for complete working examples.

Resources

Notes

  • Requires Python 3.8+
  • WebSocket-first approach with REST fallback
  • Normalized data across all exchanges
  • Active development and community support
  • 40+ supported exchanges and growing

© 2025Emma, 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 3 other files (references) in i18n/zh/skills/cryptofeed of 2025Emma/vibe-coding-cn.

  • SKILL.md
  • references/README.md
  • references/index.md
  • references/other.md

Open the folder on GitHubat commit 9b42dd1

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in 2025Emma/vibe-coding-cn, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Cryptofeed next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cryptofeed compared with similar skills
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Tiger Brokers OpenAPI SDKqusong0627/QuantMind1.7k—~1.4kAutomated safety check: PassApache-2.0
Azure Messaging Webpubsubservice Pymicrosoft/skills3.1k6 repos~2kAutomated safety check: PassMIT
Groq Webhooks Eventsjeremylongshore/tons-of-skills-marketplace2.8k—~1.7kAutomated safety check: PassMIT
Real-Time Stock Quote SubscriberYourdaylight/stock_datasource188—~559Automated safety check: PassMIT

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Works with

Questions about Cryptofeed

What does Cryptofeed do?

Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. Cryptofeed is an agent skill from 2025Emma/vibe-coding-cn. Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges.

When should I use Cryptofeed?

Cryptofeed fits situations like: tasks that involve Realtime and WebSockets; tasks that involve Stock and market analysis; tasks that involve Crypto and DeFi analysis.

How do I install Cryptofeed in Claude Code?

Run `npx skills add 2025Emma/vibe-coding-cn --skill cryptofeed -a claude-code`. Or copy the skill folder (i18n/zh/skills/cryptofeed in 2025Emma/vibe-coding-cn) into .claude/skills/cryptofeed in your project. Claude Code loads it when a task matches its description.

How do I install Cryptofeed in Codex?

Run `npx skills add 2025Emma/vibe-coding-cn --skill cryptofeed -a codex`. Or copy the skill folder (i18n/zh/skills/cryptofeed in 2025Emma/vibe-coding-cn) into .agents/skills/cryptofeed in your project. Codex loads it when a task matches its description.

Can I use Cryptofeed 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 2025Emma/vibe-coding-cn --skill cryptofeed -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cryptofeed, .gemini/skills/cryptofeed, .github/skills/cryptofeed and .opencode/skills/cryptofeed in your project.

What does Cryptofeed need to run?

SKILL.md names no scripts, command-line tools or credentials: Cryptofeed is instructions for the agent only. Our summary lists: Python 3.

Does Cryptofeed access the network?

SKILL.md names 3 domains. As links in the text: github.com, pypi.python.org and discord.gg. This is read from the text; nothing was executed.

Is Cryptofeed 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. Review the folder before installing.

What licence does Cryptofeed use?

Cryptofeed is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cryptofeed use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Cryptofeed?

Skills that share tags, products or a category with Cryptofeed: Web3 Polymarket (Polymarket/agent-skills, 191 stars), Tiger Brokers OpenAPI SDK (qusong0627/QuantMind, 1.7k stars), Azure Messaging Webpubsubservice Py (microsoft/skills, 3.1k stars) and Groq Webhooks Events (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cryptofeed?

2025Emma (a GitHub user) maintains it in 2025Emma/vibe-coding-cn, which has 23,034 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on December 17, 2025.

Source: 2025Emma/vibe-coding-cn on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.