Compute and display trading performance statistics. Use when the user asks about their performance, win rate, P&L, or wants a trading summary. Also use proactively at natural boundaries (end of quarter, end of year, after a significant drawdown or winning streak).
Run the end-of-day update workflow: sync trades, fetch prices, regenerate cache, and summarize what changed. Use this skill when the user says "daily update", "end of day", "update everything", "what happened today", "run the daily", "catch me up", or any variation that implies they want to bring all data current and see a summary. Also use it when the user opens a session after market close and hasn't updated yet today — check the most recent dates in cache/ and suggest running the daily if data is stale.
Research sectors, pick leader stocks, and scaffold or maintain groups in ~/.lafmm/data/. Use this skill when the user wants to start tracking a new sector, asks "what sectors should I watch?", "add semis to my watchlist", "which stocks should lead my energy group?", "set up a new group for X", or any variation that implies they want to evaluate and add a sector to their Livermore system. Also use it when you notice the user trades a sector they are not tracking, or when they ask for a broad market scan to find opportunities. Use it proactively when the user's journal shows repeated trades in an un-tracked sector. Also use it when you notice signs that an existing group may need revisiting — a leader's volume has dropped well below its sector peers, a tracked stock consistently outperforms both leaders, or a group has produced no meaningful signals for an extended period. These are signs the group configuration is stale.
Fetch, filter, and classify financial news from RSS feeds and web search. Use this skill whenever you need current market news or context about price movements — whether you are building a watchlist and need to know which sectors have active catalysts, analyzing why a stock or sector moved unexpectedly, researching what macro events might impact a position, or the user asks about latest developments in a sector, commodity, or the broad market. Also use when the user says "check the news", "why did Y drop", "what's moving today", "any news on...", or "market update". Use proactively when news context would improve your analysis quality.
Get trades into the journal. Two modes: user provides a broker CSV, or auto-fetch from IBKR API. Use when the user says "import my trades", "sync my trades", "get my executions", "pull trades from broker", provides a CSV file, or wants to update their trade journal.
Mine journal observations for behavioral patterns, hypothesis accuracy, and ticker-specific edge. Links free-text observations to trade outcomes via lafmm stats, accumulates intelligence in a scorecard that other skills consume. Use this skill when the user says "mine my journal", "update scorecard", "what have I learned", "reflect", "behavioral patterns", "observation accuracy", or any variation implying they want to extract intelligence from their trading observations.
Qualify a stock for entry by evaluating three complementary perspectives: Momentum Breakout (SEPA), Range Trading, and Oversold Bounce. Works in two modes: Data mode (primary) — give a ticker and the skill computes all indicators from OHLCV data; Screenshot mode — paste any chart image and the skill extracts what it can visually. Use this skill when the user says "qualify NVDA", "does AAPL qualify", "is this buyable", "check this setup", "analyze this chart", shares a chart screenshot, or any variation that implies they want to know if a stock meets entry criteria.
Use when the user asks "any earnings coming up?", "who reports this week?", "earnings calendar", "what's reporting?", or any variation about scheduled earnings events. Also use proactively during daily-update to flag tickers reporting within the next 7 days, and when presenting a signal on a stock that reports soon.