Script Usage

Script-mode skill — read this file, then invoke from a bash block:

python3 - <<'EOF'
import sys, json
sys.path.insert(0, "/data/workspace/skills/coingecko")
from exports import coin_price, cg_trending, cg_global

print(coin_price(coin_ids="bitcoin,ethereum"))
print(cg_trending())
EOF

Read exports.py for the full list of available functions. Common ones: coin_price, coin_ohlc, coin_chart, cg_trending, cg_top_gainers_losers, cg_new_coins, cg_global, cg_global_defi, cg_categories, cg_derivatives, cg_coins_markets, cg_coin_data, cg_coin_tickers, cg_search, cg_token_price, cg_coin_by_contract.

CoinGecko Skill

Function Reference (signatures)

All public functions are in exports.py. coin_id is the CoinGecko id (e.g. bitcoin, ethereum) — use cg_search(query) first if unsure. vs_currency defaults to usd.

Prices & Charts

Function	Description
`coin_price(coin_ids, timestamps=None, vs_currency='usd')`	Current or historical price. `coin_ids` = comma-string like `"bitcoin,ethereum"`. `timestamps` = list of unix ts for historical (default: now).
`coin_ohlc(coin_id, days=30, vs_currency='usd')`	OHLC bars for last N days. Returns list of `[ts, o, h, l, c]`. Granularity auto-selected: 1d=30min, 7-30d=4h, 30d+=4h.
`coin_chart(coin_id, days=30, vs_currency='usd')`	Price + market_cap + total_volume timeseries. Returns `{prices, market_caps, total_volumes}` (each list of `[ts, val]`).

Discovery

Function	Description
`cg_trending()`	Trending coins, NFTs, categories (last 24h).
`cg_top_gainers_losers(vs_currency='usd', duration='24h')`	Top gainers/losers. `duration` = `1h`/`24h`/`7d`/`14d`/`30d`/`60d`/`1y`.
`cg_new_coins()`	Recently listed coins.
`cg_search(query)`	Search coins/exchanges/categories by name.

Market Data

Function	Description
`cg_global()`	Global crypto market: total market_cap, volume, dominance.
`cg_global_defi()`	Global DeFi: TVL, dominance, top protocols.
`cg_coins_markets(vs_currency='usd', order='market_cap_desc', per_page=100, page=1, sparkline=False, price_change_percentage='24h', category=None, ids=None)`	Top coins with full market data.
`cg_coin_data(coin_id, localization=False, tickers=False, market_data=True, community_data=False, developer_data=False, sparkline=False)`	Detailed data for one coin.
`cg_coin_tickers(coin_id, exchange_ids=None, include_exchange_logo=False, page=1, order='volume_desc', depth=False)`	Where a coin trades + volumes.
`cg_coins_list(include_platform=False)`	All coin ids/symbols (for resolving).

Categories / Derivatives / NFTs

Function	Description
`cg_categories(order='market_cap_desc')`	Top categories with market_cap and volume.
`cg_categories_list()`	Just category ids/names.
`cg_derivatives(include_tickers='unexpired')`	All derivatives tickers across exchanges (~27k rows). Returns `{tickers, count, filter}`; see "Derivatives: fields & full-market OI" below.
`cg_derivatives_exchanges(order='open_interest_btc_desc', per_page=50)`	Derivatives exchange rankings.
`cg_nfts_list(order='market_cap_usd_desc', per_page=100, page=1)`	Top NFT collections.
`cg_nft(nft_id)`	NFT collection detail.
`cg_nft_by_contract(asset_platform, contract_address)`	NFT by contract address.

Exchanges

Function	Description
`cg_exchanges(per_page=100, page=1)`	Exchange rankings.
`cg_exchange(exchange_id)`	One exchange's detail.
`cg_exchange_tickers(exchange_id, ...)`	Tickers on an exchange.
`cg_exchange_volume_chart(exchange_id, days=30)`	Exchange volume history.

Contracts / Tokens (by platform)

Function	Description
`cg_token_price(platform, contract_addresses, vs_currencies='usd', include_market_cap=False, include_24hr_vol=False, include_24hr_change=False, include_last_updated_at=False)`	Price by contract address on a platform.
`cg_coin_by_contract(platform, contract_address)`	Coin metadata by contract.
`cg_asset_platforms(filter=None)`	Supported chains.
`cg_vs_currencies()`	Supported quote currencies.
`cg_exchange_rates()`	BTC-denominated rates for fiat/major coins.

🚫 CRITICAL: STOP — READ THIS BEFORE CALLING ANY TOOL

The #1 error is calling Coinglass tools instead of CoinGecko tools. They have similar names but are COMPLETELY DIFFERENT systems.

WRONG → RIGHT Tool Substitution Table

❌ NEVER call this	✅ Call this instead	How to tell them apart
`cg_coins_market_data`	`cg_coins_markets`	market_data=Coinglass derivatives. markets=CoinGecko spot.
`cg_ohlc_history`	`coin_ohlc`	ohlc_history=Coinglass futures candles. coin_ohlc=CoinGecko spot candles.
`cg_pair_market_data`	`cg_coin_tickers`	pair_market_data=Coinglass futures pair. coin_tickers=CoinGecko spot pairs.
`cg_supported_exchanges`	`cg_exchanges`	supported_exchanges=Coinglass futures. exchanges=CoinGecko spot.
`cg_taker_exchanges`	`cg_exchange`	taker=Coinglass volume. exchange=CoinGecko exchange info.
`cg_aggregated_taker_volume`	`cg_coin_tickers`	taker_volume=Coinglass. coin_tickers=CoinGecko volume across exchanges.
`defillama_chains`	`cg_global_defi`	For DeFi stats from CoinGecko, use cg_global_defi().

Also FORBIDDEN:

❌ web_search / web_fetch — ALL data is available via native CoinGecko tools above. NEVER use web_search for crypto market data.
❌ bash for data processing — CoinGecko tools return clean data. No bash needed.
❌ NEVER answer with training data — all prices, rankings, OHLC are stale. CALL THE TOOL.

⚠️ MANDATORY TOOL CALLS — You MUST call a tool before answering these

Request type	You MUST call	Why
K线 / OHLC / candlestick / open high low close	`coin_ohlc(coin_id, days)`	Price data is real-time; training data is stale
走势图 / price chart / 价格趋势	`coin_chart(coin_id, days)`	Same reason
当前价格 / price right now	`coin_price(coin_ids)`	Training data has no live prices

DO NOT return any numeric market data (prices, OHLC values, percentages) without calling a tool first.

⚡ Question → Tool Map (match first keyword, call immediately)

Question keyword	Tool to call	Example
价格 / price / 多少钱 (single coin)	`coin_price(coin_id)`	`coin_price(coin_ids="bitcoin")`
K线 / OHLC / candlestick / 蜡烛图	`coin_ohlc(coin_id, days)`	`coin_ohlc(coin_id="ethereum", days=7)`
走势 / trend / price chart / 价格历史	`coin_chart(coin_id, days)`	`coin_chart(coin_id="solana", days=30)`
热门 / trending / 趋势币	`cg_trending()`	`cg_trending()`
涨幅最大 / 跌幅最大 / gainers / losers	`cg_top_gainers_losers()`	`cg_top_gainers_losers()`
新币 / 新上线 / new coins / recently added	`cg_new_coins()`	`cg_new_coins()`
总市值 / BTC市占率 / global / 晨报 / 市场概况	`cg_global()`	`cg_global()`
DeFi总市值 / DeFi TVL / DeFi dominance	`cg_global_defi()`	`cg_global_defi()`
板块 / sector / category / L1 / L2 / Meme / AI coins	`cg_categories()`	`cg_categories()`
板块内个币 / Meme前10 / AI币排名 / DeFi币排名	`cg_coins_markets(category=X)`	`cg_coins_markets(category="meme-token", per_page=10)`
市值排名 / top 10 / ranking / 前10币	`cg_coins_markets(per_page=N)`	`cg_coins_markets(per_page=10)`
ATH / 历史最高 / 社区 / dev / 研究 / fundamentals	`cg_coin_data(coin_id)`	`cg_coin_data(coin_id="solana", community_data=True)`
对比两个币 / compare / XX vs YY	`cg_coin_data()` × 2	call once per coin
NFT排名 / NFT市场 / floor price / top NFTs	`cg_nfts_list()`	`cg_nfts_list()`
某个NFT (BAYC/Punks/Azuki)	`cg_nft(nft_id)`	`cg_nft(nft_id="bored-ape-yacht-club")`
交易所详情 / Binance详情 / exchange data	`cg_exchange(exchange_id)`	`cg_exchange(exchange_id="binance")`
交易所列表 / exchange ranking	`cg_exchanges()`	`cg_exchanges()`
交易对 / trading pairs / 流动性分布	`cg_coin_tickers(coin_id)`	`cg_coin_tickers(coin_id="bitcoin")`
交易所交易量趋势 / volume chart	`cg_exchange_volume_chart(exchange_id)`	`cg_exchange_volume_chart(exchange_id="binance", days=30)`
合约地址价格 / token price on-chain	`cg_token_price(platform, contract)`	`cg_token_price(platform="ethereum", contract_addresses="0xa0b...")`
搜索币 / 找币 / coin lookup / search	`cg_search(query)`	`cg_search(query="pepe")`
永续合约交易所 / derivatives exchange / OI排名	`cg_derivatives_exchanges()`	`cg_derivatives_exchanges()`
合约ticker / perpetual / funding / basis	`cg_derivatives()`	`cg_derivatives()`
交易所对比 + 永续交易所	`cg_exchanges()` + `cg_derivatives_exchanges()`	both calls

Derivatives: fields & full-market OI

cg_derivatives() returns {"tickers": [...], "count": N, "filter": "unexpired"}. Each ticker:

Field	Meaning / unit
`market`	Exchange, e.g. `"Binance (Futures)"`
`index_id`	Base coin, e.g. `"BTC"` — group by this for per-coin totals
`contract_type`	`"perpetual"` or `"futures"` (dated)
`open_interest`	USD notional
`volume_24h`	USD
`funding_rate`	Already a percent per funding interval: `0.006162` = 0.0062%. Do NOT multiply by 100
`basis`, `spread`	Percent
`price`	String — cast with `float()`

Full-market open interest (use this when CoinGlass coins-markets is unavailable on the platform plan):

from collections import defaultdict
t = cg_derivatives()["tickers"]
perp = [x for x in t if x["contract_type"] == "perpetual" and x.get("open_interest")]
by_coin = defaultdict(float)
for x in perp:
    by_coin[x["index_id"]] += x["open_interest"]
total = sum(by_coin.values())          # ~$217B as of 2026-09

Caveats:

Current snapshot only, no history. For OI history use the coinglass skill (per-coin history, summed).
Exchange-reported and includes small exchanges, so it runs well above CoinGlass (~$217B vs ~$117B on the same day). Always cite "CoinGecko" as the source, and never plot it on the same chart as CoinGlass or other third-party figures.
Funding differs by exchange and margin type (USDT vs USDC vs coin-margined); if you report one per-coin number, use an OI-weighted average and say so.

🌳 Decision Tree

How many coins?
├─ ONE coin
│   ├─ Just price? → coin_price()
│   ├─ ATH/community/dev/deep? → cg_coin_data()
│   ├─ OHLC candles? → coin_ohlc()
│   ├─ Price trend? → coin_chart()
│   └─ Unknown ID? → cg_search() first
├─ MULTIPLE coins / ranking
│   ├─ Sector aggregate (板块总市值)? → cg_categories()
│   ├─ Sector individual (Meme前10)? → cg_coins_markets(category=X)
│   └─ General ranking? → cg_coins_markets(per_page=N)
├─ NFTs → cg_nfts_list() or cg_nft(nft_id)
├─ Exchange → cg_exchange(id) or cg_exchanges()
├─ Global → cg_global() or cg_global_defi()
└─ Token by contract → cg_token_price()

Common Category IDs

meme-token, artificial-intelligence, layer-1, layer-2, decentralized-finance-defi, gaming, real-world-assets-rwa

Output Formatting

Prices: always use $ sign → $66,697
Percentages: always use % → +4.2%
NFT floor in ETH: show USD too → 5.17 ETH ($10,534)

Important Notes

CoinGecko uses slug IDs: "bitcoin", "ethereum", "solana". Symbols (BTC, ETH, SOL) auto-resolve.
If unsure about a coin ID → cg_search(query="coin name") first.
Most questions need only 1-2 tool calls. Do NOT chain 3+ calls.

Common Issues

coin_price failed with invalid ID

Solution: Use cg_search(query="coin name") to find the correct CoinGecko ID first, or use the symbol directly (e.g., 'COMP').

Script Usage

Script-mode skill — read this file, then invoke from a bash block:

python3 - <<'EOF'
import sys, json
sys.path.insert(0, "/data/workspace/skills/coingecko")
from exports import coin_price, cg_trending, cg_global

print(coin_price(coin_ids="bitcoin,ethereum"))
print(cg_trending())
EOF

CoinGecko Skill

Function Reference (signatures)

All public functions are in exports.py. coin_id is the CoinGecko id (e.g. bitcoin, ethereum) — use cg_search(query) first if unsure. vs_currency defaults to usd.

Prices & Charts

Function	Description
`coin_price(coin_ids, timestamps=None, vs_currency='usd')`	Current or historical price. `coin_ids` = comma-string like `"bitcoin,ethereum"`. `timestamps` = list of unix ts for historical (default: now).
`coin_ohlc(coin_id, days=30, vs_currency='usd')`	OHLC bars for last N days. Returns list of `[ts, o, h, l, c]`. Granularity auto-selected: 1d=30min, 7-30d=4h, 30d+=4h.
`coin_chart(coin_id, days=30, vs_currency='usd')`	Price + market_cap + total_volume timeseries. Returns `{prices, market_caps, total_volumes}` (each list of `[ts, val]`).

Discovery

Function	Description
`cg_trending()`	Trending coins, NFTs, categories (last 24h).
`cg_top_gainers_losers(vs_currency='usd', duration='24h')`	Top gainers/losers. `duration` = `1h`/`24h`/`7d`/`14d`/`30d`/`60d`/`1y`.
`cg_new_coins()`	Recently listed coins.
`cg_search(query)`	Search coins/exchanges/categories by name.

Market Data

Function	Description
`cg_global()`	Global crypto market: total market_cap, volume, dominance.
`cg_global_defi()`	Global DeFi: TVL, dominance, top protocols.
`cg_coins_markets(vs_currency='usd', order='market_cap_desc', per_page=100, page=1, sparkline=False, price_change_percentage='24h', category=None, ids=None)`	Top coins with full market data.
`cg_coin_data(coin_id, localization=False, tickers=False, market_data=True, community_data=False, developer_data=False, sparkline=False)`	Detailed data for one coin.
`cg_coin_tickers(coin_id, exchange_ids=None, include_exchange_logo=False, page=1, order='volume_desc', depth=False)`	Where a coin trades + volumes.
`cg_coins_list(include_platform=False)`	All coin ids/symbols (for resolving).

Categories / Derivatives / NFTs

Function	Description
`cg_categories(order='market_cap_desc')`	Top categories with market_cap and volume.
`cg_categories_list()`	Just category ids/names.
`cg_derivatives(include_tickers='unexpired')`	All derivatives tickers across exchanges (~27k rows). Returns `{tickers, count, filter}`; see "Derivatives: fields & full-market OI" below.
`cg_derivatives_exchanges(order='open_interest_btc_desc', per_page=50)`	Derivatives exchange rankings.
`cg_nfts_list(order='market_cap_usd_desc', per_page=100, page=1)`	Top NFT collections.
`cg_nft(nft_id)`	NFT collection detail.
`cg_nft_by_contract(asset_platform, contract_address)`	NFT by contract address.

Exchanges

Function	Description
`cg_exchanges(per_page=100, page=1)`	Exchange rankings.
`cg_exchange(exchange_id)`	One exchange's detail.
`cg_exchange_tickers(exchange_id, ...)`	Tickers on an exchange.
`cg_exchange_volume_chart(exchange_id, days=30)`	Exchange volume history.

Contracts / Tokens (by platform)

Function	Description
`cg_token_price(platform, contract_addresses, vs_currencies='usd', include_market_cap=False, include_24hr_vol=False, include_24hr_change=False, include_last_updated_at=False)`	Price by contract address on a platform.
`cg_coin_by_contract(platform, contract_address)`	Coin metadata by contract.
`cg_asset_platforms(filter=None)`	Supported chains.
`cg_vs_currencies()`	Supported quote currencies.
`cg_exchange_rates()`	BTC-denominated rates for fiat/major coins.

🚫 CRITICAL: STOP — READ THIS BEFORE CALLING ANY TOOL

The #1 error is calling Coinglass tools instead of CoinGecko tools. They have similar names but are COMPLETELY DIFFERENT systems.

WRONG → RIGHT Tool Substitution Table

❌ NEVER call this	✅ Call this instead	How to tell them apart
`cg_coins_market_data`	`cg_coins_markets`	market_data=Coinglass derivatives. markets=CoinGecko spot.
`cg_ohlc_history`	`coin_ohlc`	ohlc_history=Coinglass futures candles. coin_ohlc=CoinGecko spot candles.
`cg_pair_market_data`	`cg_coin_tickers`	pair_market_data=Coinglass futures pair. coin_tickers=CoinGecko spot pairs.
`cg_supported_exchanges`	`cg_exchanges`	supported_exchanges=Coinglass futures. exchanges=CoinGecko spot.
`cg_taker_exchanges`	`cg_exchange`	taker=Coinglass volume. exchange=CoinGecko exchange info.
`cg_aggregated_taker_volume`	`cg_coin_tickers`	taker_volume=Coinglass. coin_tickers=CoinGecko volume across exchanges.
`defillama_chains`	`cg_global_defi`	For DeFi stats from CoinGecko, use cg_global_defi().

Also FORBIDDEN:

❌ web_search / web_fetch — ALL data is available via native CoinGecko tools above. NEVER use web_search for crypto market data.
❌ bash for data processing — CoinGecko tools return clean data. No bash needed.
❌ NEVER answer with training data — all prices, rankings, OHLC are stale. CALL THE TOOL.

⚠️ MANDATORY TOOL CALLS — You MUST call a tool before answering these

Request type	You MUST call	Why
K线 / OHLC / candlestick / open high low close	`coin_ohlc(coin_id, days)`	Price data is real-time; training data is stale
走势图 / price chart / 价格趋势	`coin_chart(coin_id, days)`	Same reason
当前价格 / price right now	`coin_price(coin_ids)`	Training data has no live prices

DO NOT return any numeric market data (prices, OHLC values, percentages) without calling a tool first.

⚡ Question → Tool Map (match first keyword, call immediately)

Question keyword	Tool to call	Example
价格 / price / 多少钱 (single coin)	`coin_price(coin_id)`	`coin_price(coin_ids="bitcoin")`
K线 / OHLC / candlestick / 蜡烛图	`coin_ohlc(coin_id, days)`	`coin_ohlc(coin_id="ethereum", days=7)`
走势 / trend / price chart / 价格历史	`coin_chart(coin_id, days)`	`coin_chart(coin_id="solana", days=30)`
热门 / trending / 趋势币	`cg_trending()`	`cg_trending()`
涨幅最大 / 跌幅最大 / gainers / losers	`cg_top_gainers_losers()`	`cg_top_gainers_losers()`
新币 / 新上线 / new coins / recently added	`cg_new_coins()`	`cg_new_coins()`
总市值 / BTC市占率 / global / 晨报 / 市场概况	`cg_global()`	`cg_global()`
DeFi总市值 / DeFi TVL / DeFi dominance	`cg_global_defi()`	`cg_global_defi()`
板块 / sector / category / L1 / L2 / Meme / AI coins	`cg_categories()`	`cg_categories()`
板块内个币 / Meme前10 / AI币排名 / DeFi币排名	`cg_coins_markets(category=X)`	`cg_coins_markets(category="meme-token", per_page=10)`
市值排名 / top 10 / ranking / 前10币	`cg_coins_markets(per_page=N)`	`cg_coins_markets(per_page=10)`
ATH / 历史最高 / 社区 / dev / 研究 / fundamentals	`cg_coin_data(coin_id)`	`cg_coin_data(coin_id="solana", community_data=True)`
对比两个币 / compare / XX vs YY	`cg_coin_data()` × 2	call once per coin
NFT排名 / NFT市场 / floor price / top NFTs	`cg_nfts_list()`	`cg_nfts_list()`
某个NFT (BAYC/Punks/Azuki)	`cg_nft(nft_id)`	`cg_nft(nft_id="bored-ape-yacht-club")`
交易所详情 / Binance详情 / exchange data	`cg_exchange(exchange_id)`	`cg_exchange(exchange_id="binance")`
交易所列表 / exchange ranking	`cg_exchanges()`	`cg_exchanges()`
交易对 / trading pairs / 流动性分布	`cg_coin_tickers(coin_id)`	`cg_coin_tickers(coin_id="bitcoin")`
交易所交易量趋势 / volume chart	`cg_exchange_volume_chart(exchange_id)`	`cg_exchange_volume_chart(exchange_id="binance", days=30)`
合约地址价格 / token price on-chain	`cg_token_price(platform, contract)`	`cg_token_price(platform="ethereum", contract_addresses="0xa0b...")`
搜索币 / 找币 / coin lookup / search	`cg_search(query)`	`cg_search(query="pepe")`
永续合约交易所 / derivatives exchange / OI排名	`cg_derivatives_exchanges()`	`cg_derivatives_exchanges()`
合约ticker / perpetual / funding / basis	`cg_derivatives()`	`cg_derivatives()`
交易所对比 + 永续交易所	`cg_exchanges()` + `cg_derivatives_exchanges()`	both calls

Derivatives: fields & full-market OI

cg_derivatives() returns {"tickers": [...], "count": N, "filter": "unexpired"}. Each ticker:

Field	Meaning / unit
`market`	Exchange, e.g. `"Binance (Futures)"`
`index_id`	Base coin, e.g. `"BTC"` — group by this for per-coin totals
`contract_type`	`"perpetual"` or `"futures"` (dated)
`open_interest`	USD notional
`volume_24h`	USD
`funding_rate`	Already a percent per funding interval: `0.006162` = 0.0062%. Do NOT multiply by 100
`basis`, `spread`	Percent
`price`	String — cast with `float()`

Full-market open interest (use this when CoinGlass coins-markets is unavailable on the platform plan):

from collections import defaultdict
t = cg_derivatives()["tickers"]
perp = [x for x in t if x["contract_type"] == "perpetual" and x.get("open_interest")]
by_coin = defaultdict(float)
for x in perp:
    by_coin[x["index_id"]] += x["open_interest"]
total = sum(by_coin.values())          # ~$217B as of 2026-09

Caveats:

Current snapshot only, no history. For OI history use the coinglass skill (per-coin history, summed).
Exchange-reported and includes small exchanges, so it runs well above CoinGlass (~$217B vs ~$117B on the same day). Always cite "CoinGecko" as the source, and never plot it on the same chart as CoinGlass or other third-party figures.
Funding differs by exchange and margin type (USDT vs USDC vs coin-margined); if you report one per-coin number, use an OI-weighted average and say so.

🌳 Decision Tree

How many coins?
├─ ONE coin
│   ├─ Just price? → coin_price()
│   ├─ ATH/community/dev/deep? → cg_coin_data()
│   ├─ OHLC candles? → coin_ohlc()
│   ├─ Price trend? → coin_chart()
│   └─ Unknown ID? → cg_search() first
├─ MULTIPLE coins / ranking
│   ├─ Sector aggregate (板块总市值)? → cg_categories()
│   ├─ Sector individual (Meme前10)? → cg_coins_markets(category=X)
│   └─ General ranking? → cg_coins_markets(per_page=N)
├─ NFTs → cg_nfts_list() or cg_nft(nft_id)
├─ Exchange → cg_exchange(id) or cg_exchanges()
├─ Global → cg_global() or cg_global_defi()
└─ Token by contract → cg_token_price()

Common Category IDs

meme-token, artificial-intelligence, layer-1, layer-2, decentralized-finance-defi, gaming, real-world-assets-rwa

Output Formatting

Prices: always use $ sign → $66,697
Percentages: always use % → +4.2%
NFT floor in ETH: show USD too → 5.17 ETH ($10,534)

Important Notes

CoinGecko uses slug IDs: "bitcoin", "ethereum", "solana". Symbols (BTC, ETH, SOL) auto-resolve.
If unsure about a coin ID → cg_search(query="coin name") first.
Most questions need only 1-2 tool calls. Do NOT chain 3+ calls.

Common Issues

coin_price failed with invalid ID

Solution: Use cg_search(query="coin name") to find the correct CoinGecko ID first, or use the symbol directly (e.g., 'COMP').

Coingecko

Install

Files

Script Usage

CoinGecko Skill

Function Reference (signatures)

Prices & Charts

Discovery

Market Data

Categories / Derivatives / NFTs

Exchanges

Contracts / Tokens (by platform)

🚫 CRITICAL: STOP — READ THIS BEFORE CALLING ANY TOOL

WRONG → RIGHT Tool Substitution Table

Also FORBIDDEN:

⚠️ MANDATORY TOOL CALLS — You MUST call a tool before answering these

⚡ Question → Tool Map (match first keyword, call immediately)

Derivatives: fields & full-market OI

🌳 Decision Tree

Common Category IDs

Output Formatting

Important Notes

Common Issues

coin_price failed with invalid ID

Details

Coingecko

Install

Files

Script Usage

CoinGecko Skill

Function Reference (signatures)

Prices & Charts

Discovery

Market Data

Categories / Derivatives / NFTs

Exchanges

Contracts / Tokens (by platform)

🚫 CRITICAL: STOP — READ THIS BEFORE CALLING ANY TOOL

WRONG → RIGHT Tool Substitution Table

Also FORBIDDEN:

⚠️ MANDATORY TOOL CALLS — You MUST call a tool before answering these

⚡ Question → Tool Map (match first keyword, call immediately)

Derivatives: fields & full-market OI

🌳 Decision Tree

Common Category IDs

Output Formatting

Important Notes

Common Issues

coin_price failed with invalid ID

Details

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