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Found 12 Skills
This skill should be used when the user asks to "analyze crypto", "analyze market trends", "analyze btc", "look at eth", "check sol", or mentions cryptocurrency technical analysis. It provides market maker perspective analysis using Binance API data.
Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management (create, add, remove assets), crypto analysis (Top 20 by market cap), and periodic performance reports (daily/weekly/monthly/quarterly/yearly). 8 analysis dimensions for stocks, 3 for crypto. Use for stock analysis, portfolio tracking, earnings reactions, or crypto monitoring.
Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.
Analyze digital assets including cryptocurrency fundamentals, blockchain mechanics, DeFi protocols, and on-chain metrics. Use when the user asks about crypto investing, Bitcoin, Ethereum, staking yields, DeFi lending, impermanent loss, or on-chain valuation metrics. Also trigger when users mention 'blockchain', 'proof of stake', 'proof of work', 'smart contracts', 'NFTs', 'stablecoins', 'NVT ratio', 'TVL', 'crypto portfolio allocation', 'halving', or ask about risks and returns of cryptocurrency.
Bitcoin bottom-timing judgment model. By tracking 6 core indicators (RSI technical oversold, volume dry-up, MVRV ratio, social media fear index, miner shutdown price, long-term holder behavior), it comprehensively evaluates whether Bitcoin has entered a bottom-fishing zone and outputs a bottom-fishing rating and position-building recommendations. When users mention topics such as Bitcoin bottom-fishing, whether BTC has bottomed out, Bitcoin oversold, MVRV, miner shutdown price, long-term holder LTH, Bitcoin fear index, whether to buy Bitcoin, BTC position entry timing, crypto market bottom signals, Bitcoin cycle bottom, etc., be sure to use this skill. Even if the user simply asks "Can I buy the dip on Bitcoin now?" or "Has BTC finished dropping?", this skill should be triggered to provide a structured analysis framework.
Technical analysis with 29+ indicators (BB, Ichimoku, RSI, MACD). Generates 7-tier trading signals with divergence detection, volume confirmation, and squeeze alerts for crypto and stocks.
Use for decision-grade Abel causal reads: explain what is driving a market or company node, how two nodes connect, what changes under intervention, or how a real-world choice looks when routed through Abel proxy signals. Use when user says "Abel" or "causal" or "causality" or "drivers" or "what if" in the context of market, business, crypto, or proxy-routed questions.
TrueNorth market intelligence for crypto, top 300 US equities, and commodities: technical analysis (RSI, MACD, Bollinger Bands), derivatives (funding rates, open interest), DeFi (TVL, fees), token performance, events, liquidation risk, token unlock, stock prices, financial statements, analyst estimates, commodity prices (gold, oil, gas), and more.
Institutional and TradFi crypto exposure analysis covering public company holdings (MicroStrategy, Tesla, etc.), Bitcoin and Ethereum ETF flows, and institutional accumulation patterns. Use when the user asks about institutional adoption, ETF flows, corporate treasuries, what institutions are buying, or MicroStrategy holdings.
AI-powered stock and crypto analysis using the aipa CLI. Use this skill whenever the user asks to analyze a ticker, compare stocks, get technical analysis, or answer any financial market question about Vietnamese stocks (VIC, VCB, FPT...), cryptocurrencies (BTC, ETH...), or global assets. Also use for price action analysis, moving average analysis, support/resistance questions, sector comparison, Wyckoff analysis, or trading insights. Also handles fundamental analysis when the user explicitly asks for fundamentals, PE, ROE, NPL, CAR, valuation, or "phân tích cơ bản" — use `aipa fundamentals` commands to enrich technical analysis with financial ratios, company info, and fundamental screening/ranking. For raw price data without AI, use the aipa-data skill instead.
Token holder chip analysis — deep analysis of holder structure including chip distribution, entry cost, whale/dev/KOL behavior, risk wallets (rat traders, bundlers, snipers), related wallets, smart money signals, and an AI rating based purely on token structure. Use when user asks about holder analysis, 筹码分析, 持仓分析, chip structure, who is holding, or whether a token is safe to buy based on its holder composition.
Decide whether a token creator's NEXT launch is safe to buy. Scores a dev address 0-100 on two separate axes — CONDUCT (will he dump on you at open) and POWER (has he ever actually built anything big) — from his full launch history and every trade he made in his own coins, then returns a buy / don't-buy call with a timing window. USE THIS SKILL WHEN the user asks a buy-decision question about a launcher: "can I buy this dev's new launch", "should I buy his next launch", "will this dev rug", "will he dump at open", "is his launch safe to snipe", "is it safe to buy at his open", "dev score", "creator score", "launch score", "is this launcher trustworthy enough to buy"; OR when the user gives a TOKEN address plus a team-trust question ("is this token's team trustworthy", "does this project's dev have a record", "has this creator rugged before") — resolve the creator with `gmgn-cli token info` -> `dev.creator_address` first, then score that address; OR when the user gives a WALLET address plus an explicit launch-history question ("what tokens has this address launched", "how did his previous launches do", "did all his coins go to zero"). The same questions asked in any other language route here too — match on meaning, not on wording. DO NOT USE THIS SKILL for a bare wallet address with no question attached: a bare address is a copy-trade question by default and belongs to gmgn-wallet-analysis, which declares itself the default for it. Also do not use it for copy-trade questions ("is this wallet worth copying", "should I copy this wallet", "copy-trade score"), wallet profitability ("is this wallet profitable", "what is this wallet's track record"), or wallet-profile phrasings ("is this a token-creator wallet", "how is this dev's reputation") — those belong to gmgn-wallet-score. The split is by question type, not by address type: those skills answer "who is this wallet" (a profile), this skill answers "should I buy his launch" (a decision, with a timing window). Note how close "how is this dev's reputation" (profile → gmgn-wallet-score) sits to "dev score" (decision → here): the deciding factor is whether a buy is on the table. If it is genuinely ambiguous, ask one short question instead of guessing — the two produce different reports and there is no cheap hedge.