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Found 37 Skills
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat earnings", "post-earnings analysis", "earnings surprise", "what happened with GOOGL earnings", "earnings reaction", "stock moved after earnings", "EPS beat or miss", "revenue beat or miss", "quarterly results for", "how were earnings", "AMZN reported last night", "earnings call recap", or any request about a company's recent earnings outcome. Use this skill when the user references a past earnings event, even if they just say "AAPL reported" or "how did they do".
Generate a comprehensive sentiment analysis report for a single stock. Use when users want deep analysis of a specific ticker like NVDA, TSLA, or AAPL.
Estimate the intrinsic value of a public company using DCF, relative (peer multiple) and sum-of-parts (SOTP) methods, then triangulate to an implied share price with upside/downside versus the current market price. Use this skill whenever the user asks: "what is AAPL worth", "valuation of NVDA", "fair value of TSLA", "intrinsic value", "DCF for MSFT", "build a DCF", "discounted cash flow", "WACC", "terminal value", "implied share price", "upside to fair value", "is X overvalued/undervalued", "relative valuation", "peer comparison valuation", "EV/EBITDA target", "SOTP", "sum of the parts", "how much is [company] worth", "price target from fundamentals", "value this company", or any ticker in the context of computing intrinsic or relative valuation. Default to running ALL three methods (DCF + relative + SOTP-if-applicable) and presenting a blended implied price with a sensitivity table. Do not answer valuation questions from memory — always run the workflow.
Deep-dive into analyst estimates and revision trends for any stock using Yahoo Finance data. Use when the user wants to understand analyst estimate direction, how EPS or revenue forecasts changed over time, compare estimate distributions, or analyze growth projections across periods. Triggers: "estimate analysis for AAPL", "analyst estimate trends for NVDA", "EPS revisions for TSLA", "how have estimates changed for MSFT", "estimate revisions", "EPS trend", "revenue estimates", "consensus changes", "analyst estimates", "estimate distribution", "growth estimates for", "estimate momentum", "revision trend", "forward estimates", "next quarter estimates", "annual estimates", "estimate spread", "bull vs bear estimates", "estimate range", or any request about tracking or comparing analyst estimates/revisions. Use this skill when the user asks about estimates beyond a simple lookup — if they want context, trends, or analysis, this is the right skill.
Personal US-equity options trading knowledge base. Use for trade analysis, options strategy recommendations, earnings plays, post-mortems, or ticker mentions in a trading context (e.g., "analyze APP", "sell put on TSLA", "structure for NVDA earnings"). Triggers on multi-leg options (Jade Lizard, bull put spread, iron condor, diagonal, calendar), IV / IV crush, channel checks, earnings positioning, AH action, LEAPS / stock replacement, dealer GEX / gamma exposure / max pain / options chain analysis, or any single-stock options play. Provides concrete strikes, IV-aware structures, and probability -weighted scenarios drawn from 21 trading pitfalls, a gamma framework, and case studies (INTC, Mag-7, APP, NOK, CBRS). Market data via TradingView + Funda AI. Responds in Chinese with English technical terms. **Always sanity-check net vega sign before recommending a directional structure** — wrong vega (credit spread at low IVR, debit spread at high IVR) is a known failure mode; see pitfall 19.
US stock fundamentals: financials, holders, insiders, earnings, dividends, splits. Use for any US ticker beyond price (e.g. AAPL financials, NVDA top holders, MSFT insider trades, TSLA earnings calendar).
Fetch structured stock sentiment across Reddit, X.com, news, and Polymarket using the Adanos Finance API. Use this skill whenever the user asks how much people are talking about a stock, how hot a ticker is on social platforms, how many Polymarket bets exist for a company, whether sources are aligned, or to compare stock sentiment across multiple tickers. Triggers include: "social sentiment on TSLA", "how hot is NVDA on X.com", "how many Reddit mentions does AAPL have", "compare sentiment on AMD vs NVDA", "how many Polymarket bets on Microsoft", "is Reddit aligned with X on META", "stock buzz", "bullish percentage", and any mention of cross-source stock sentiment research. This skill is READ-ONLY and does not place trades or modify anything.
Classic three.js materials (non-Node): MeshStandardMaterial, MeshPhysicalMaterial, Phong/Lambert/Toon/Basic, Line/Points/Sprite materials, MeshMatcapMaterial, MeshNormalMaterial, depth/distance materials, ShaderMaterial and RawShaderMaterial. Use when tuning PBR maps, transparency, depth write, skinning flags, or writing GLSL in ShaderMaterial; for TSL/NodeMaterial/WebGPU shader graphs use threejs-node-tsl instead—not both for the same authoring path unless migrating.
Global Comprehensive Stock Analysis Tool. Supports all markets covered by Eastmoney, including A-shares, Hong Kong stocks, US stocks, etc. Based on the stock name or code entered by users, it obtains stock information from Eastmoney.com, conducts three-dimensional analysis of fundamentals, news, and capital flows, and provides investment suggestions, buy prices and sell prices. Trigger keywords: analyze stocks, stock recommendations, stock entry and exit points, stock research, A-share analysis, Hong Kong stock analysis, US stock analysis, Chinese concept stocks, Hang Seng Index, Nasdaq, S&P 500, Dow Jones, Tencent, Alibaba, Apple AAPL, Tesla TSLA, NVIDIA NVDA, Micron MU, etc.
Buy or sell Backed xStocks (tokenized equities, e.g. TSLAx) on TON using jetton addresses from the xStocks API and TON MCP swap tools. Use when the user asks for xStocks, xStock, TSLAx, stock tokens on TON, or buying/selling equity jettons via Omniston.
Bitget Wallet: token prices, swap quotes, RWA stock trades, security audits. Use when researching tokens or trading via Bitget on supported chains (e.g. honeypot check, USDT→BNB swap quote, RWA TSLA order, K-line on Base).
Measuring and optimizing three.js speed: render statistics, memory counters, fewer draw calls via merging, instancing, batching and LOD, fill rate, shadows, CPU work per frame, shader stalls and GPU compute for particles, WebGL or WebGPU with TSL. Use when a scene is slow, janks or exceeds memory.