/alpha-vantage
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill alpha-vantage --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/alpha-vantage
Context preview
The summary Claude sees to decide when to auto-load this skill.
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash
SKILL.md
alpha-vantage.SKILL.mdname: alpha-vantage
description: Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.
license: Unknown
metadata:
skill-author: K-Dense Inc.Alpha Vantage — Financial Market Data
Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
API Key Setup (Required)
1. Get a free key at https://www.alphavantage.co/support/#api-key (premium plans available for higher rate limits) 2. Set as environment variable:
export ALPHAVANTAGE_API_KEY="your_key_here"
Installation
uv pip install requests pandas
Base URL & Request Pattern
All requests go to:
https://www.alphavantage.co/query?function=FUNCTION_NAME&apikey=YOUR_KEY&...params
import requests
import os
API_KEY = os.environ.get("ALPHAVANTAGE_API_KEY")
BASE_URL = "https://www.alphavantage.co/query"
def av_get(function, **params):
response = requests.get(BASE_URL, params={"function": function, "apikey": API_KEY, **params})
return response.json()Quick Start Examples
# Stock quote (latest price)
quote = av_get("GLOBAL_QUOTE", symbol="AAPL")
price = quote["Global Quote"]["05. price"]
# Daily OHLCV
daily = av_get("TIME_SERIES_DAILY", symbol="AAPL", outputsize="compact")
ts = daily["Time Series (Daily)"]
# Company fundamentals
overview = av_get("OVERVIEW", symbol="AAPL")
print(overview["MarketCapitalization"], overview["PERatio"])
# Income statement
income = av_get("INCOME_STATEMENT", symbol="AAPL")
annual = income["annualReports"][0] # Most recent annual
# Crypto price
crypto = av_get("DIGITAL_CURRENCY_DAILY", symbol="BTC", market="USD")
# Economic indicator
gdp = av_get("REAL_GDP", interval="annual")
# Technical indicator
rsi = av_get("RSI", symbol="AAPL", interval="daily", time_period=14, series_type="close")API Categories
| Category | Key Functions | |----------|--------------| | **Time Series (Stocks)** | GLOBAL_QUOTE, TIME_SERIES_INTRADAY, TIME_SERIES_DAILY, TIME_SERIES_WEEKLY, TIME_SERIES_MONTHLY | | **Options** | REALTIME_OPTIONS, HISTORICAL_OPTIONS | | **Alpha Intelligence** | NEWS_SENTIMENT, EARNINGS_CALL_TRANSCRIPT, TOP_GAINERS_LOSERS, INSIDER_TRANSACTIONS, ANALYTICS_FIXED_WINDOW | | **Fundamentals** | OVERVIEW, ETF_PROFILE, INCOME_STATEMENT, BALANCE_SHEET, CASH_FLOW, EARNINGS, DIVIDENDS, SPLITS | | **Forex (FX)** | CURRENCY_EXCHANGE_RATE, FX_INTRADAY, FX_DAILY, FX_WEEKLY, FX_MONTHLY | | **Crypto** | CURRENCY_EXCHANGE_RATE, CRYPTO_INTRADAY, DIGITAL_CURRENCY_DAILY | | **Commodities** | GOLD (WTI spot), BRENT, NATURAL_GAS, COPPER, WHEAT, CORN, COFFEE, ALL_COMMODITIES | | **Economic Indicators** | REAL_GDP, TREASURY_YIELD, FEDERAL_FUNDS_RATE, CPI, INFLATION, UNEMPLOYMENT, NONFARM_PAYROLL | | **Technical Indicators** | SMA, EMA, MACD, RSI, BBANDS, STOCH, ADX, ATR, OBV, VWAP, and 40+ more |
Common Parameters
| Parameter | Values | Notes | |-----------|--------|-------| | `outputsize` | `compact` / `full` | compact = last 100 points; full = 20+ years | | `datatype` | `json` / `csv` | Default: json | | `interval` | `1min`, `5min`, `15min`, `30min`, `60min`, `daily`, `weekly`, `monthly` | Depends on endpoint | | `adjusted` | `true` / `false` | Adjust for splits/dividends |
Rate Limits
- Free tier: 25 requests/day (as of 2026)
- Premium plans: higher limits, real-time data, intraday access
- HTTP 429 = rate limit exceeded
- Add delays between requests when processing multiple symbols
import time
# Add delay to avoid rate limits
time.sleep(0.5) # 0.5s between requests on free tier
Error Handling
data = av_get("GLOBAL_QUOTE", symbol="AAPL")
# Check for API errors
if "Error Message" in data:
raise ValueError(f"API Error: {data['Error Message']}")
if "Note" in data:
print(f"Rate limit warning: {data['Note']}")
if "Information" in data:
print(f"API info: {data['Information']}")Reference Files
Load these for detailed endpoint documentation:
- **[time-series.md](references/time-series.md)** — Stock OHLCV data, quotes, bulk quotes, market status
- **[fundamentals.md](references/fundamentals.md)** — Company overview, financial statements, earnings, dividends, splits
- **[options.md](references/options.md)** — Realtime and historical options chain data
- **[intelligence.md](references/intelligence.md)** — News/sentiment, earnings transcripts, insider transactions, analytics
- **[forex-crypto.md](references/forex-crypto.md)** — Forex exchange rates and cryptocurrency prices
- **[commodities.md](references/commodities.md)** — Gold, silver, oil, natural gas, agricultural commodities
- **[economic-indicators.md](references/economic-indicators.md)** — GDP, CPI, interest rates, employment data
- **[technical-indicators.md](references/technical-indicators.md)** — 50+ technical analysis indicators (SMA, EMA, MACD, RSI, etc.)
Read more
name: alpha-vantage
description: Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.
license: Unknown
metadata:
skill-author: K-Dense Inc.Alpha Vantage — Financial Market Data
Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
API Key Setup (Required)
1. Get a free key at https://www.alphavantage.co/support/#api-key (premium plans available for higher rate limits) 2. Set as environment variable:
export ALPHAVANTAGE_API_KEY="your_key_here"
Installation
uv pip install requests pandas
Base URL & Request Pattern
All requests go to:
https://www.alphavantage.co/query?function=FUNCTION_NAME&apikey=YOUR_KEY&...params
import requests
import os
API_KEY = os.environ.get("ALPHAVANTAGE_API_KEY")
BASE_URL = "https://www.alphavantage.co/query"
def av_get(function, **params):
response = requests.get(BASE_URL, params={"function": function, "apikey": API_KEY, **params})
return response.json()Quick Start Examples
# Stock quote (latest price)
quote = av_get("GLOBAL_QUOTE", symbol="AAPL")
price = quote["Global Quote"]["05. price"]
# Daily OHLCV
daily = av_get("TIME_SERIES_DAILY", symbol="AAPL", outputsize="compact")
ts = daily["Time Series (Daily)"]
# Company fundamentals
overview = av_get("OVERVIEW", symbol="AAPL")
print(overview["MarketCapitalization"], overview["PERatio"])
# Income statement
income = av_get("INCOME_STATEMENT", symbol="AAPL")
annual = income["annualReports"][0] # Most recent annual
# Crypto price
crypto = av_get("DIGITAL_CURRENCY_DAILY", symbol="BTC", market="USD")
# Economic indicator
gdp = av_get("REAL_GDP", interval="annual")
# Technical indicator
rsi = av_get("RSI", symbol="AAPL", interval="daily", time_period=14, series_type="close")API Categories
| Category | Key Functions | |----------|--------------| | **Time Series (Stocks)** | GLOBAL_QUOTE, TIME_SERIES_INTRADAY, TIME_SERIES_DAILY, TIME_SERIES_WEEKLY, TIME_SERIES_MONTHLY | | **Options** | REALTIME_OPTIONS, HISTORICAL_OPTIONS | | **Alpha Intelligence** | NEWS_SENTIMENT, EARNINGS_CALL_TRANSCRIPT, TOP_GAINERS_LOSERS, INSIDER_TRANSACTIONS, ANALYTICS_FIXED_WINDOW | | **Fundamentals** | OVERVIEW, ETF_PROFILE, INCOME_STATEMENT, BALANCE_SHEET, CASH_FLOW, EARNINGS, DIVIDENDS, SPLITS | | **Forex (FX)** | CURRENCY_EXCHANGE_RATE, FX_INTRADAY, FX_DAILY, FX_WEEKLY, FX_MONTHLY | | **Crypto** | CURRENCY_EXCHANGE_RATE, CRYPTO_INTRADAY, DIGITAL_CURRENCY_DAILY | | **Commodities** | GOLD (WTI spot), BRENT, NATURAL_GAS, COPPER, WHEAT, CORN, COFFEE, ALL_COMMODITIES | | **Economic Indicators** | REAL_GDP, TREASURY_YIELD, FEDERAL_FUNDS_RATE, CPI, INFLATION, UNEMPLOYMENT, NONFARM_PAYROLL | | **Technical Indicators** | SMA, EMA, MACD, RSI, BBANDS, STOCH, ADX, ATR, OBV, VWAP, and 40+ more |
Common Parameters
| Parameter | Values | Notes | |-----------|--------|-------| | `outputsize` | `compact` / `full` | compact = last 100 points; full = 20+ years | | `datatype` | `json` / `csv` | Default: json | | `interval` | `1min`, `5min`, `15min`, `30min`, `60min`, `daily`, `weekly`, `monthly` | Depends on endpoint | | `adjusted` | `true` / `false` | Adjust for splits/dividends |
Rate Limits
- Free tier: 25 requests/day (as of 2026)
- Premium plans: higher limits, real-time data, intraday access
- HTTP 429 = rate limit exceeded
- Add delays between requests when processing multiple symbols
import time # Add delay to avoid rate limits time.sleep(0.5) # 0.5s between requests on free tier
Error Handling
data = av_get("GLOBAL_QUOTE", symbol="AAPL")
# Check for API errors
if "Error Message" in data:
raise ValueError(f"API Error: {data['Error Message']}")
if "Note" in data:
print(f"Rate limit warning: {data['Note']}")
if "Information" in data:
print(f"API info: {data['Information']}")Reference Files
Load these for detailed endpoint documentation:
- **[time-series.md](references/time-series.md)** — Stock OHLCV data, quotes, bulk quotes, market status
- **[fundamentals.md](references/fundamentals.md)** — Company overview, financial statements, earnings, dividends, splits
- **[options.md](references/options.md)** — Realtime and historical options chain data
- **[intelligence.md](references/intelligence.md)** — News/sentiment, earnings transcripts, insider transactions, analytics
- **[forex-crypto.md](references/forex-crypto.md)** — Forex exchange rates and cryptocurrency prices
- **[commodities.md](references/commodities.md)** — Gold, silver, oil, natural gas, agricultural commodities
- **[economic-indicators.md](references/economic-indicators.md)** — GDP, CPI, interest rates, employment data
- **[technical-indicators.md](references/technical-indicators.md)** — 50+ technical analysis indicators (SMA, EMA, MACD, RSI, etc.)
VibeSkills is a general-purpose Skill that automatically routes local Skills and intelligently orchestrates harness workflows.
Repo: foryourhealth111-pixel/Vibe-Skills
Other skills on vibe-skills.
- /LQF_Machine_Learning_Expert_Guide
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature
Open skill - /adaptyv
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use
Open skill - /aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations
Open skill - /algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing
Open skill - /architecture-patterns
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
Open skill - /astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and
Open skill
