kavi-lin
22 verified skills
earnings-trade-analyzer
Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.
development
short-contrarian-analyst
Burry-style valuation anchor and contrarian veto check for a single ticker. Computes Burry Score (0-100) from FCF yield, EV/EBIT, debt/equity, and price vs 52-week high. Use in investment protocol Phase 2 as the 5th agent — triggers T4 veto when Burry Score < 20 (extremely overvalued) on an otherwise bullish thesis.
testing
economic-calendar-fetcher
Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). The script outputs raw JSON or text; the assistant filters, assesses impact, and generates the Markdown report.
development
fred-macro
Fetches structured macro-economic data from FRED (Federal Reserve Economic Data) for 13 key series covering rates, inflation, employment, credit spreads, and financial stress. Produces a regime snapshot (label, confidence, macro_scores, sector_rotation, change_velocity) consumed by investment_protocol Phase 0, macro-regime-detector, and news-protocol macro context. Use when needing timely, authoritative macro inputs without relying on WebSearch or FMP (which has daily quota). Requires free FRED_API_KEY env var.
development
technical-analyst
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
testing
short-term-target
Short-term (1d / 5d / 15d) directional projection for a US stock — "Tactical Opportunity Radar". Outputs target range + confidence breakdown + benchmark-relative alpha + trading meta (stop / position size hint / exit trigger). Each horizon uses independent weights from config/weights.yaml. Refuses to project when source data is stale (returns insufficient_data with reasons). Hard-clamped to prevent cold-start absurd predictions. Use when caller wants short-term directional bias on a specific ticker, NOT for long-term valuation (use earnings-valuation-forecaster for 12-month). Standalone — not auto-wired into investment_protocol.
testing
tail-risk-analyzer
Quantifies tail risk / fragility for a single ticker using 1-year daily returns. Computes excess kurtosis, skewness, VaR95, max drawdown, and maps to a fragility label (ROBUST/MODERATE/FRAGILE). Use in sector protocol Phase 4b Devil's Advocate (top-3 HOT sectors) and investment protocol Phase 4 Step 3 (per-stock fragility → position sizing).
development
ftd-detector
Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).
tools
market-news-analyst
This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.
tools
us-stock-analysis
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
testing
market-sentiment-analyzer
Provides market sentiment composite score (0-100) combining VIX, SPY RSI, Put/Call ratio, and CNN Fear & Greed index. Use when user asks about market sentiment, fear and greed, VIX level, or needs a sentiment-based fallback for investment/sector protocols. Minimal local implementation — replaces web search for F&G.
development
sector-analyst
This skill should be used when analyzing sector rotation patterns and market cycle positioning. It fetches sector uptrend data from CSV (no API key required) and optionally accepts chart images for supplementary analysis. Use this skill when the user requests sector rotation analysis, cyclical vs defensive assessment, overbought/oversold identification, or market cycle phase estimation. All analysis and output are conducted in English.
tools
market-breadth-analyzer
Quantifies market breadth health using TraderMonty's public CSV data. Generates a 0-100 composite score across 6 components (100 = healthy). No API key required. Use when user asks about market breadth, participation rate, advance-decline health, whether the rally is broad-based, or general market health assessment.
tools
portfolio-risk-manager
Calculates vol-adjusted position size cap and correlation-aware multiplier for a new candidate ticker given current holdings. Use in investment protocol Phase 4 Step 2 to compute safe position size before entry. Reads positions.json and yfinance data; no API key.
development
skills/earnings-analyst
# earnings-analyst — 個股財報深度分析 > **Trigger**: `財報 [TICKER]` > **Version**: V1.0 > **Data Source**: FMP HTTP REST(`$FMP_API_KEY`) ## 目的 針對單一個股產出**深度財報分析報告**(逐季趨勢、品質指標、估值、分析師共識),涵蓋 sector V1.4 與 `分析 [TICKER]` 既有 protocol **沒有**的「財報層級」深潛內容。 ## 與既有 skill 的差異 | Skill | 重點 | 觸發 | |---|---|---| | `us-stock-analysis` | 估值/技術/情緒 snapshot(yfinance + FMP partial) | Phase 2 fundamentals lane | | `earnings-valuation-forecaster` | 12M 目標價 3×3 敏感度 | ad-hoc / earnings 前 14 天 | | `earnings-trade-analyzer` |
development
thematic-screener
Daily Top N hot themes × Top M short-term movers per theme. Combines theme-detector heat scoring (medium-term) with short-term-target predictions (1d/5d/15d) into a "Tactical Opportunity Radar" recommendation log. Tags concentration WARNING when ≥2 picks share theme. Records FRED + market regime snapshot at recommendation time for future backtest cross-tabs. Standalone — not auto-wired into investment_protocol. Use for daily watchlist refresh / Dashboard推薦面板feed / batch screening across hot themes.
testing
earnings-valuation-forecaster
Project 12-month target prices for a US stock using earnings trend analysis, peer multiple comparison, and sensitivity grids. Produces bull / base / bear scenarios with upside/downside, key assumptions, trigger conditions, and a 3×3 sensitivity matrix (EPS growth × forward multiple). Use when user asks for 目標價, fair value, 合理價格, valuation target, price projection, scenario analysis, or "what's this stock worth in 12 months" for a specific ticker. Standalone skill — not auto-wired into investment protocol.
testing
theme-detector
Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic investing, what themes are hot or cold, or wants to identify bullish and bearish market narratives with lifecycle analysis.
research
market-top-detector
Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.
tools
momentum-monitor
Per-stock momentum & flow monitor — volume dynamics, MA structure & crosses, short interest, spike detection. Use when user asks about 爆大量, 動能, volume spike, moving average cross, short interest / squeeze potential, or a quick bullish/bearish flow read on a single ticker.
data-ai
supply-chain-event-analyst
Map up/downstream dependencies (suppliers/customers), identify critical bottlenecks, and correlate historical events (disruptions, contracts) with price action for Technology/Semis, Industrial, Energy, and Chemical stocks. Use when user asks for 產業鏈, 供應鏈, 上下游, supply chain analysis, key customers, major suppliers, or dependencies for a ticker.
testing
finnhub-client
Shared Finnhub API client used by other skills. Provides rate-limited (60/min), cached, retry-aware access to 17 Finnhub endpoints covering quotes, OHLCV, fundamentals, earnings calendar, earnings surprises, insider transactions, recommendation history, price targets, upgrades/downgrades, dividends, splits, IPOs, and SEC filings. Also exports adapters that normalize Finnhub raw responses into FMP-compatible shapes so that downstream code can swap providers without changing call sites. Use when another skill needs Finnhub data or when building a unified provider layer.
tools