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Snapshot-based finance agent skills registry
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Skill directory
53 results
yennanliu/InvestSkill
Deep-read a 10-K annual report and output a structured markdown digest — abstract, per-section summaries (Business Overview, Risk Factors, MD&A, Financial Statements, Market Risk, Controls, Legal, Compensation), key metrics table, highlights & concerns, management outlook, prior-year promise tracker, bull vs. bear synthesis, notable disclosures, and full source references. Output in English or Traditional Chinese (繁體中文). Designed for quick comprehension — not trading signals. Triggers on "/10k-digest AAPL", "/10k-digest MSFT FY2024", "/10k-digest [paste 10-K text]", "/10k-digest NVDA --lang zh-TW".
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Complete and populate integrated 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement) with proper linkages, formulas, and validation checks.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model including financial-model integrity checks like BS balance, cash tie-out, and logic sanity.
Assessed 2026-07-29 07:31 UTC
yennanliu/InvestSkill
Build the strongest possible bear case against a stock — a deliberate short-seller red-team that argues why NOT to hold, surfacing counterevidence to any bullish thesis. Covers valuation stretch (reverse-DCF, priced-for-perfection), deteriorating fundamentals (revenue/margin/FCF/balance sheet/working capital/ROIC), accounting & earnings-quality red flags (Hindenburg/Muddy Waters/Beneish-style forensic lenses), competitive & secular threats (moat erosion, disruption, concentration), management & capital allocation (insider selling, governance, credibility), downside catalysts & timeline, downside quantification (bear price target, scenario tree, risk/reward), and mandatory thesis-killers. Triggers on "/bear-case TSLA", "/bear-case NVDA — here is my bull thesis: [paste]", "/bear-case — challenge this stock-eval output: [paste]".
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Build and organize a universe of potential acquirers for sell-side M&A processes. Identifies strategic and financial buyers, assesses fit, and prioritizes outreach. Use when preparing for a sell-side mandate, building a buyer universe, or evaluating potential partners.
Assessed 2026-07-29 07:31 UTC
yennanliu/InvestSkill
Comprehensive capital allocation analysis: dividends, buybacks, M&A, debt management, and FCF deployment. 12-section framework covering dividend safety (payout ratio analysis with sector-specific thresholds, Dividend Safety Score 0-100 with 5 weighted components, 4-scenario stress test), dividend growth (1/3/5/10-year DGR CAGR, Aristocrats/Kings status, Chowder Rule, growth sustainability), yield analysis (trailing/forward yield, historical context, Treasury spread, YOC, yield trap detection with 6 red flags), dividend history (recession durability 2000/2008/2020, variability score, special dividends), financial health (FCF coverage, leverage, interest coverage, liquidity, credit rating), income optimization (total return decomposition, DRIP projections, tax efficiency, ex-div calendar, portfolio modeling), peer comparison (6-metric table, value vs. yield matrix), share buyback analysis (authorization vs. execution, buyback yield, price discipline, EPS accretion/dilution, insider ownership change), M&A capital allocation (acquisition multiples, integration track record, Overpaying Risk Score, organic vs. inorganic split), debt management (paydown pace, refinancing risk, covenant headroom, credit rating trend), FCF deployment scorecard (every $1 of FCF breakdown, capital return yield, Management Capital Allocation Grade), and Capital Allocation Quality Score (composite 0-10 with 6 weighted components). Triggers on "/dividend-analysis AAPL", "/dividend-analysis --portfolio AAPL,JNJ,KO,PEP,XOM", "/dividend-analysis --sector utilities".
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events.
Assessed 2026-07-29 07:31 UTC
yennanliu/InvestSkill
Forward-looking catalyst calendar identifying upcoming events and their expected price impact over a configurable 90-day window (max 180). Covers earnings events (next date, consensus estimates, beat/miss rate over 8 quarters, options-implied move, pre-earnings drift, post-earnings reaction guide), macro catalysts (FOMC, CPI/PCE, NFP, Treasury auctions with stock-specific rate/inflation/cyclical sensitivity), company-specific catalysts (analyst day, product launches, FDA/regulatory, index rebalancing, lock-up expiration, debt maturity, contract renewals, conference presentations), catalyst impact scoring table (probability, bull/bear impact, net bias, pre-event action), event-driven strategy suggestions (pre-event positioning, post-event reaction, binary event hedges, catalyst stacking convergence windows), and a 90-day ASCII catalyst heat map. Triggers on "/catalyst-calendar TSLA", "/catalyst-calendar MRNA --focus earnings", "/catalyst-calendar AAPL,MSFT --days 60".
Assessed 2026-07-29 07:31 UTC
yennanliu/InvestSkill
Generate professional financial charts in Mermaid, ASCII, or HTML/Chart.js — MA lines, histograms, candlestick, volume, RSI/MACD, and more for markdown reports. 12 chart types: price with moving averages (Golden/Death Cross annotation), price + volume dual-panel, return distribution histogram (with VaR/CVaR stats), RSI momentum panel (overbought/oversold lines), MACD trend & momentum panel (bullish/bearish cross), revenue/earnings growth bar+line combo, valuation comparison horizontal bar, margin trends multi-line, portfolio allocation pie, price vs. fair value range/gauge, signal dashboard multi-metric scorecard, and support & resistance price level map. Platform detection table (Claude Code, Gemini, Cursor, Copilot, plain markdown, HTML export) with format priority and fallback. Triggers on any financial data or analysis output that needs visualization.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Structure and draft a Confidential Information Memorandum for sell-side M&A processes. Organizes company information into a professional, investor-ready document with consistent formatting and narrative flow. Use when preparing sell-side materials, drafting a CIM, or organizing company data for a sale process.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Clean up messy spreadsheet data — trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns. Use when data is messy, inconsistent, or needs prep before analysis.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
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. Defaults to running all three methods and presenting a blended implied price with a WACC × terminal-growth sensitivity table and Bull/Base/Bear scenarios.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. Perfect for public company valuation, benchmarking performance, pricing IPOs, and supporting investment committee presentations.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Framework for building competitive landscape decks — market positioning, competitor deep-dives, comparative analysis, strategic synthesis. Use when the user asks for a competitive landscape, competitor analysis, peer comparison, market positioning assessment, strategic review, or investment memo deck.
Assessed 2026-07-29 07:31 UTC
yennanliu/InvestSkill
Deep competitive moat analysis, market position assessment, and industry dynamics. 11-section framework: Morningstar 5-source moat identification (network effects, cost advantages, intangible assets, switching costs, efficient scale) with width assessment (wide/narrow/none/at-risk) and trend (widening/stable/narrowing), Porter's Five Forces deep analysis with industry attractiveness score (1-5 scale), market share analysis with HHI concentration, competitive benchmarking table vs. top 3-5 peers (12 metrics), innovation & disruption assessment (disruptor vs. disrupted positioning), management quality in competitive context, pricing power analysis, composite Moat Score (0-10 with 6 weighted components), competitive intelligence sources (SEC filings, Glassdoor, Gartner, patents), visualization support (Five Forces radar, benchmarking bar, moat score chart), and investment implications. Feeds into /dcf-valuation and /fundamental-analysis. Triggers on "/competitor-analysis AAPL", "/competitor-analysis MSFT --sector cloud computing", "/competitor-analysis NVDA --peers AMD,INTC,QCOM", "/competitor-analysis GOOGL --moat-only", "/competitor-analysis AMZN --visual".
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Build an Excel discounted cash flow valuation with WACC, scenario analysis, formula checks, and source notes.
Assessed 2026-07-29 07:31 UTC
yennanliu/InvestSkill
Discounted Cash Flow (DCF) intrinsic value modeling with sensitivity analysis. This skill has been merged into stock-valuation — use /us-stock-analysis:stock-valuation for comprehensive valuation. This file serves as a quick DCF reference: WACC formula and components (Ke, Kd, E/V, D/V with typical WACC ranges by risk profile: 6-8% low risk utility, 8-11% medium risk, 11-15% high risk, 15-20%+ very high risk), three-scenario names and default probabilities (Bull 20%, Base 60%, Bear 20% with probability-weighted IV formula), 5×5 sensitivity table template (WACC vs. terminal growth rate), terminal value formulas (Gordon Growth Model and Exit Multiple Method with rule "Never set g > WACC, flag if TV > 80% of total EV"), and standard Investment Signal output with thesis invalidation checklist.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Track multiple live deals with milestones, deadlines, action items, and status updates. Maintains a deal pipeline view and surfaces upcoming deadlines and overdue items. Use when managing a book of business, tracking process milestones, or preparing for weekly deal reviews.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Updates a presentation with new numbers — quarterly refreshes, earnings updates, comp rolls, rebased market data. Use whenever the user asks to update the deck with new figures, refresh comps, roll forward, or swap values across an existing deck without rebuilding it.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.
Assessed 2026-07-29 07:31 UTC
yennanliu/InvestSkill
Analyze earnings call transcripts for sentiment, key themes, and management tone. 8-section framework covering executive summary (overall sentiment, key takeaways, guidance changes, surprise factors, market-moving statements), management tone assessment (confidence indicators: definitive language/narrow guidance/proactive challenge discussion; caution indicators: hedging/wide ranges/deflection; red flag indicators: evasiveness/metric changes/blame shifting/reduced transparency), key themes extraction (strategic initiatives, operational performance, market dynamics, capital allocation), financial guidance analysis (revenue/earnings/segment guidance, changes from prior quarter, key assumptions), Q&A session analysis (question themes by frequency, management response quality, analyst concerns, notable exchanges), quarter-over-quarter comparison (messaging consistency, tone shifts, performance vs. prior guidance), red flags & warning signs (financial: missed guidance/margin decline/working capital deterioration/FCF below net income/recurring one-time charges; operational: customer concentration/executive departures/product delays/market share loss/failed M&A; communication: transparency reduction/metric changes/aggressive accounting/dismissive attitude; governance: board conflicts/related-party transactions/insider selling), and investment implications (overall assessment, key drivers, valuation impact, recommended action). Data sources: SEC EDGAR 8-K, company IR, Seeking Alpha, AlphaSense, Bloomberg, FactSet. 3 input formats (transcript text, transcript URL, call details). 10-section output. Integration with /fundamental-analysis and /report-generator.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch before a company reports quarterly earnings.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Generate a pre-earnings briefing for any stock using Yahoo Finance data via yfinance. Pulls upcoming earnings date, consensus EPS and revenue estimates, historical beat/miss track record, analyst sentiment (buy/hold/sell distribution and price targets), and key financial metrics to watch — everything needed before an earnings call.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Generate a post-earnings analysis for any stock using Yahoo Finance data via yfinance. Covers actual vs estimated EPS, surprise magnitude, stock price reaction on earnings day, quarterly financial trends, and context on what changed — a complete picture of what happened after a company reports earnings.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Deep-dive into analyst estimates and revision trends for any stock using Yahoo Finance data via yfinance. Covers EPS and revenue estimate distributions, revision momentum over 7/30/60/90-day windows, revision breadth (up vs down counts), growth projections vs industry/sector/S&P 500 benchmarks, and historical estimate accuracy — the full picture of where the street thinks a company is heading.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Calculate ETF premium/discount vs NAV via Yahoo Finance, and decompose single-day surges into NAV-driven vs structural components (gamma squeeze, dealer hedging, blocked AP arbitrage). Supports 5 sub-skills: single ETF snapshot, multi-ETF comparison, premium screener (60+ ETFs), premium deep dive with causal explanation, and premium surge decomposition with Black-Scholes gamma exposure (GEX) computation and convergence timeline assessment.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Fetch structured stock sentiment across Reddit, X.com, news, and Polymarket using the Adanos Finance API. Compare buzz, bullish percentage, mentions, and trends across sources and tickers.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Query Fintel institutional market intelligence via REST API or MCP: short interest, borrow rates, short volume, fails-to-deliver, 13F institutional ownership, insider transactions, analyst price targets, ratings, forecasts, dividends, earnings, EOD prices, and security master lookup.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Query Funda AI financial data via MCP for analyst-grade research synthesis (DCF, comps, earnings previews/recaps, sector deep-dives, SEC filings, transcripts, supply-chain mapping) or REST API for raw structured data (real-time quotes, intraday candles, financial statements, options chains/greeks/GEX, supply-chain KG, social sentiment, news, calendars, FRED, ESG, congressional trades, AI hiring signals).
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Check the current status of the Strait of Hormuz — shipping transit data, oil price impact, stranded vessels, insurance risk levels, diplomatic developments, and global trade impact. Fetches real-time data from the Hormuz Strait Monitor dashboard API.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Read Hyperliquid (app.hyperliquid.xyz) perp and spot market data via opencli — mark/oracle/mid prices, 24h change, funding rates (hourly or annualized APR), open interest, volume, L2 order book, OHLCV candles, historical funding, and cross-venue funding comparison (Hyperliquid vs Binance vs Bybit) for funding arbitrage screening.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Investment banking presentation quality checker. Reviews a pitch deck or client-ready presentation for number consistency, data-narrative alignment, language polish against IB standards, and visual and formatting QC. Use whenever the user asks to review, check, QC, proof, or do a final pass on a deck or client materials.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Systematic stock screening and investment idea sourcing combining quantitative screens, thematic research, and pattern recognition to surface new long and short ideas.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Create comprehensive equity research initiation reports (30-50 pages, 10,000-15,000 words) for first-time coverage of a company, covering company research, financial modeling, valuation, chart generation, and report assembly.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Completes LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. Fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Build accretion/dilution analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation. Use when evaluating a potential acquisition, preparing merger consequences analysis for a pitch, or advising on deal terms.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Update financial models with new data — quarterly earnings, management guidance, macro changes, or revised assumptions. Adjusts estimates, recalculates valuation, and flags material changes.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Draft concise morning meeting notes summarizing overnight developments, trade ideas, and key events for coverage stocks. Tight, opinionated, actionable — designed for the 7am morning meeting format.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Generate an interactive options payoff curve chart with dynamic parameter controls. Use whenever the user shares an options position screenshot, describes an options strategy, or asks to visualize how an options trade makes or loses money. Supports 9 strategy types (butterfly, vertical/calendar/diagonal/ratio spread, straddle, strangle, iron condor, covered call, naked put) plus custom multi-leg decomposition. Renders an interactive HTML widget with expiry payoff curve, Black-Scholes theoretical value curve, dynamic sliders for all parameters, and live-updating stats cards.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Populate investment banking pitch deck templates with data from source files. Use when user provides a PowerPoint template to fill in, has source data (Excel/CSV) to populate into slides, mentions populating or filling a pitch deck template, or needs to transfer data into existing slide layouts. Not for creating presentations from scratch.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Draft process letters and bid instructions for sell-side M&A processes. Covers initial indication of interest (IOI) instructions, final bid procedures, and management meeting logistics.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Analyze SaaS company valuation compression between funding rounds. Researches funding history via web search, computes ARR-based valuation multiples at each round, and explains compression or expansion using a structured framework covering macro rates, growth trajectory, narrative shifts, AI premium, and competitive dynamics. Renders inline visualization (metric cards, line chart vs macro median, decomposition bar chart, peer comparison) plus a concise prose summary.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Create comprehensive industry and sector landscape reports covering market dynamics, competitive positioning, key players, and thematic trends. Use for client requests, sector initiations, thematic research, or internal knowledge building.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Analyze stocks using Mark Minervini's SEPA (Specific Entry Point Analysis) methodology — a complete system for identifying high-probability growth stock entries with strict risk management. Use whenever the user mentions SEPA, Minervini, VCP, trend template, Stage 2 uptrend, pivot point breakout, growth stock screening, moving average alignment, consolidation patterns, position sizing, or asks "should I buy this stock" in a growth/momentum context. 9-step process covering stage analysis, 8-condition trend template, fundamental grading, pattern recognition (VCP, cup-with-handle, flat base, bull flag, high tight flag), entry point analysis, position sizing with 3-phase stop loss, and market environment assessment.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Analyze stock correlations to find related companies, sector peers, and pair-trading candidates using historical price data from Yahoo Finance via yfinance. Routes to four specialized sub-skills based on user intent: Co-movement Discovery (find correlated stocks for a single ticker), Return Correlation (deep-dive pairwise analysis with beta, R-squared, spread Z-score, rolling stability), Sector Clustering (NxN correlation matrix with hierarchical clustering), and Realized Correlation (time-varying and regime-conditional correlation including up/down days, high/low vol, and drawdown regimes). Triggers on phrases like "what correlates with NVDA", "correlation between AAPL and MSFT", "pair trading", "sympathy plays", "rolling correlation", "when NVDA drops what else drops".
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Analyze stock liquidity across multiple dimensions — bid-ask spreads, volume profiles, order book depth estimates, market impact modeling, and turnover ratios — using Yahoo Finance data via yfinance. Routes to six specialized sub-skills: Liquidity Dashboard (comprehensive snapshot), Spread Analysis (bid-ask spread with options context), Volume Analysis (ADV, dollar volume, RVOL, trends), Order Book Depth (top-of-book + intraday volume proxy), Market Impact (square-root model for large order execution cost), and Turnover Ratio (trading activity vs shares outstanding/float). Triggers on "how liquid is AAPL", "bid-ask spread", "market impact", "slippage estimate", "Amihud illiquidity", "turnover ratio", "ADTV", "can I trade 100k shares without moving the price".
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Create professional investment banking strip profiles (company profiles) for pitch books, deal materials, and client presentations. Generates 1-4 information-dense slides with quadrant layouts, charts, and tables.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Draft anonymous one-page company teasers for sell-side M&A processes. Creates a compelling summary without revealing the company identity, designed to gauge buyer interest before NDA execution.
Assessed 2026-07-29 07:31 UTC
anthropics/financial-services
Maintain and update investment theses for portfolio positions and watchlist names. Track key data points, catalysts, and thesis milestones over time. Use when updating a thesis with new information, reviewing position rationale, or checking if a thesis is still intact.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Read TradingView desktop app for market data, news, alerts, watchlists, and screener results using opencli (read-only). Covers quotes, options chains with full greeks (delta, gamma, theta, vega, rho), IV, bid/ask IVs, options expiries, screener across stocks/crypto/forex/futures/bonds, gainers/losers/movers, news headlines and full story bodies, alerts, watchlists with colored flag lists, symbol search, chart state, and screenshots.
Assessed 2026-07-29 07:31 UTC
yennanliu/InvestSkill
Analyze US economic indicators and their impact on markets. Covers 5 key indicator categories (growth: GDP/NFP/retail sales/PMI; inflation: CPI/PCE/PPI/wage growth; monetary policy: Fed stance/rates/money supply/forward guidance; market sentiment: consumer confidence/business surveys/credit spreads/VIX; fiscal policy: spending/tax/deficit), yield curve analysis (2s10s/3M10Y/5s30s spreads with current/1yr/10yr avg/signal table, 5 curve shapes with economic implications, 3M10Y inversion duration-to-recession lead time table, Fed rate cycle positioning, real yields/TIPS with rising/falling implications and 10yr real yield thresholds, breakeven inflation 5yr5yr forward), credit market indicators (IG OAS spreads <100/100-150/>150 bps, HY spreads <350/350-500/>500/>800 bps with "HY leads equity by 2-4 weeks" rule, TED spread <50/50-100/>100 bps, MOVE index 80-100/100-130/>150, credit as leading indicator with IG/HY divergence and leveraged loan signals), global macro comparison (US vs. EU vs. China vs. Japan vs. UK cycle positioning table, PMI comparison across major economies with above/below 50 rule, central bank divergence analysis with Fed/ECB/BOJ/BOE/PBOC rate table and divergence signals, DXY strength sector impact table with >105 headwind/<95 tailwind thresholds, EM vulnerability indicators), and recession probability scoring (NY Fed recession model based on 3M10Y with 0-10%/10-25%/25-50%/50-75%/>75% probability ranges, Conference Board LEI with 3+ consecutive declines and YoY >4% decline rules, Sahm Rule with ≥0.5pp threshold triggered in every recession since 1970, custom composite recession probability combining yield curve + LEI + Sahm + credit spreads + PMI with Expansion/Caution/High Risk/Near-Certain zones, historical recession episodes table with S&P 500 peak-to-trough declines). Output: economic state summary, key risks and opportunities, sector and asset class implications, investment positioning recommendations. Investment Signal box with thesis invalidation checklist.
Assessed 2026-07-29 07:31 UTC
himself65/finance-skills
Fetch financial and market data from Yahoo Finance using the yfinance Python library. Retrieves current prices, historical OHLCV, financial statements (balance sheet, income statement, cash flow — annual & quarterly), corporate actions (dividends, splits), options chains with greeks, earnings history, analyst price targets, recommendations, upgrades/downgrades, institutional holders, insider transactions, stock screening via yf.Screener + yf.EquityQuery, sector/industry data, and news. Triggers on any ticker mention (AAPL, MSFT, TSLA), "get me the financials", "show earnings", "options chain", "dividend history", "balance sheet", "analyst targets", "compare stocks", "screen for stocks". Always activates even if only a ticker is provided — infers intent from context.
Assessed 2026-07-29 07:31 UTC
Public Registry
Each file is generated from the same typed records as the static pages. The Search Index contains only allowlisted summary fields.
Updated 2026-07-29 07:31 UTC