Claude Agent Skill · by Starchild Ai Agent

Twelvedata

A comprehensive financial data interface that pulls real-time quotes, historical time series, and market data from TwelveData's API. Handles stocks, forex pairs

Install
Terminal · npx
$npx skills add https://github.com/starchild-ai-agent/official-skills --skill twelvedata
Works with Paperclip

How Twelvedata fits into a Paperclip company.

Twelvedata drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

S
SaaS FactoryPaired

Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

$27$59
Explore pack
Source file
SKILL.md160 lines
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---name: twelvedataversion: 1.2.0description: "Stocks, forex, and commodities price data — real-time quotes, historical time series, and reference data"tools:  - twelvedata_time_series  - twelvedata_price  - twelvedata_eod  - twelvedata_quote  - twelvedata_quote_batch  - twelvedata_price_batch  - twelvedata_search  - twelvedata_stocks  - twelvedata_forex_pairs  - twelvedata_exchanges metadata:  starchild:    emoji: "📊"    skillKey: twelvedata    requires:      env:        - TWELVEDATA_API_KEY user-invocable: falsedisable-model-invocation: false--- # Twelve Data Stocks, forex, and commodities price data. **Traditional markets only — not for crypto.** ## Keyword → Tool Lookup | User asks about | Tool | NOT this ||----------------|------|----------|| "AAPL 股价", "current price" (single) | `twelvedata_quote` | Not `twelvedata_price` (less detail) || "just the price number" | `twelvedata_price` | — || "多只股票对比" (2+ symbols) | `twelvedata_quote_batch` | Not multiple `twelvedata_quote` calls || "K线", "历史数据", "time series" | `twelvedata_time_series` | — || "收盘价" | `twelvedata_eod` | — || "找股票代码" | `twelvedata_search` | — || "NASDAQ 有哪些股票" | `twelvedata_stocks` | — || "汇率", "EUR/USD" | `twelvedata_quote(symbol="EUR/USD")` | — || "外汇对列表" | `twelvedata_forex_pairs` | — || "金价", "oil price" | `twelvedata_quote(symbol="XAU/USD")` | Not CoinGecko || "BTC price", any crypto | **CoinGecko** `coin_price` | ❌ Never twelvedata for crypto | ## TwelveData vs CoinGecko — Boundary | Asset class | Use | Why ||-------------|-----|-----|| Stocks (AAPL, TSLA) | **TwelveData** | CoinGecko has no stocks || Forex (EUR/USD) | **TwelveData** | CoinGecko has no forex || Commodities (gold, oil) | **TwelveData** | CoinGecko has no commodities || Crypto (BTC, ETH, SOL) | **CoinGecko** | TwelveData crypto data is limited/unreliable | ## MISTAKES — Read Before Calling ### ❌ MISTAKE 1: Using TwelveData for crypto```User: "BTC 价格"❌ WRONG: twelvedata_quote(symbol="BTC/USD")✅ RIGHT: coin_price(ids="bitcoin")  ← CoinGecko``` ### ❌ MISTAKE 2: Calling quote individually for multiple stocks```User: "AAPL MSFT GOOGL 现在什么价"❌ WRONG: twelvedata_quote("AAPL"), twelvedata_quote("MSFT"), twelvedata_quote("GOOGL")  ← 3 calls✅ RIGHT: twelvedata_quote_batch(symbols=["AAPL", "MSFT", "GOOGL"])  ← 1 call, up to 120 symbols``` ### ❌ MISTAKE 3: Forex without slash```❌ WRONG: twelvedata_quote(symbol="EURUSD")✅ RIGHT: twelvedata_quote(symbol="EUR/USD")  ← always slash format```Also: `USD/CNH` not `USDCNH`, `GBP/JPY` not `GBPJPY`. ### ❌ MISTAKE 4: Expecting bid/ask from quote```❌ WRONG: "EUR/USD bid: 1.0850, ask: 1.0852"  ← quote only returns close✅ RIGHT: "EUR/USD current price: 1.0851 (close/last price — bid/ask spread not available)"``` ### ❌ MISTAKE 5: Wrong interval format```❌ WRONG: twelvedata_time_series(interval="1D")  ← uppercase✅ RIGHT: twelvedata_time_series(interval="1day")```Valid: `1min`, `5min`, `15min`, `30min`, `1h`, `2h`, `4h`, `8h`, `1day`, `1week`, `1month` ### ❌ MISTAKE 6: Using full output when compact suffices```User: "AAPL 最近走势"❌ WRONG: twelvedata_time_series(symbol="AAPL", interval="1day", outputsize="full")  ← 5000 candles✅ RIGHT: twelvedata_time_series(symbol="AAPL", interval="1day", outputsize="compact")  ← 30 candles```Use `full` only when user explicitly needs deep history. ## Symbol Reference ### Commodities (verified) | Asset | Symbol ||-------|--------|| Gold | `XAU/USD` || Silver | `XAG/USD` || Platinum | `XPT/USD` || Palladium | `XPD/USD` || Crude Oil (WTI) | `WTI/USD` || Natural Gas | `NG/USD` | ### Popular Forex Pairs | Pair | Symbol ||------|--------|| Euro / USD | `EUR/USD` || GBP / USD | `GBP/USD` || USD / JPY | `USD/JPY` || USD / CNH | `USD/CNH` | Use `twelvedata_search` to discover others. ## Pre/Post-Market Data ```twelvedata_quote(symbol="AAPL", prepost=true)twelvedata_time_series(symbol="AAPL", interval="1min", prepost=true)```Returns `premarket_change`, `premarket_change_percent`, `postmarket_change`, `postmarket_change_percent` when available. ## Output Sizes - `compact` — Last 30 data points (default, faster). Use for "最近走势".- `full` — Up to 5000 data points. Use for deep analysis / charting. ⚠️ **Note:** The `outputsize` parameter 只接受 `"compact"` 或 `"full"` 字符串 — 传整数会报 `invalid_type` 错误。 ## Proxy-Safe Usage 1. **Agent tool calls**: Always prefer `twelvedata_*` tools (this skill).2. **Platform code** (`skills/`, `tools/`): use `core.http_client`.3. **Workspace scripts** (`bash`): Do NOT call TwelveData directly. Use skill tools. ## Compound Queries ### Stock Comparison```1. twelvedata_quote_batch(symbols=["AAPL", "MSFT", "GOOGL", "TSLA"])2. twelvedata_time_series(symbol="AAPL", interval="1day", outputsize="compact")  ← only for the one user cares most about``` ### Macro Dashboard (stocks + forex + commodities)```1. twelvedata_quote_batch(symbols=["SPY", "QQQ"])          → US indices2. twelvedata_quote_batch(symbols=["EUR/USD", "USD/JPY"])   → Forex3. twelvedata_quote(symbol="XAU/USD")                       → Gold```