Add morning-report and stock-lookup skills

Add comprehensive morning report skill with collectors for calendar, email, tasks,
infrastructure status, news, stocks, and weather. Add stock lookup skill for quote queries.

skills/stock-lookup/SKILL.md

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+---
+name: stock-lookup
+description: Look up stock prices and quotes
+---
+
+# Stock Lookup Skill
+
+Fetch real-time stock quotes and trends from Yahoo Finance.
+
+## Usage
+
+```bash
+~/.claude/skills/stock-lookup/scripts/quote.py SYMBOL [SYMBOL...]
+~/.claude/skills/stock-lookup/scripts/quote.py SYMBOL --trend [RANGE]
+```
+
+## Examples
+
+Single stock:
+```bash
+~/.claude/skills/stock-lookup/scripts/quote.py CRWV
+```
+
+Multiple stocks:
+```bash
+~/.claude/skills/stock-lookup/scripts/quote.py AAPL MSFT GOOGL NVDA
+```
+
+3-month trend (default):
+```bash
+~/.claude/skills/stock-lookup/scripts/quote.py CRWV --trend
+```
+
+1-year trend:
+```bash
+~/.claude/skills/stock-lookup/scripts/quote.py NVDA --trend 1y
+```
+
+JSON output:
+```bash
+~/.claude/skills/stock-lookup/scripts/quote.py --json CRWV
+~/.claude/skills/stock-lookup/scripts/quote.py --json --trend 6mo CRWV
+```
+
+## Options
+
+| Option | Description |
+|--------|-------------|
+| `--trend [RANGE]` | Show trend with sparkline. Default: 3mo |
+| `--json` | Output as JSON |
+
+## Trend Ranges
+
+`1mo`, `3mo`, `6mo`, `1y`, `2y`, `5y`, `ytd`, `max`
+
+## Output
+
+**Quote mode:** Symbol, name, price, daily change, market state
+
+**Trend mode:** Start/end prices, change, high/low, ASCII sparkline
+
+## Notes
+
+- Uses Yahoo Finance unofficial API (no key required)
+- Prices may be delayed 15-20 minutes for some exchanges
+- Works for stocks, ETFs, indices (^GSPC, ^DJI), crypto (BTC-USD)

skills/stock-lookup/scripts/quote.py

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+#!/usr/bin/env python3
+"""Fetch stock quotes from Yahoo Finance API."""
+
+import argparse
+import json
+import urllib.request
+from datetime import datetime
+
+
+def fetch_chart(symbol: str, range_: str = "1d", interval: str = "1d") -> dict:
+    """Fetch chart data for a symbol."""
+    url = f"https://query1.finance.yahoo.com/v8/finance/chart/{symbol.upper()}?interval={interval}&range={range_}"
+    req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"})
+
+    try:
+        with urllib.request.urlopen(req, timeout=10) as resp:
+            return json.load(resp)
+    except urllib.error.HTTPError as e:
+        return {"error": f"HTTP {e.code}: Symbol '{symbol}' not found"}
+    except urllib.error.URLError as e:
+        return {"error": f"Network error: {e.reason}"}
+
+
+def get_quote(symbol: str) -> dict:
+    """Fetch quote data for a symbol."""
+    data = fetch_chart(symbol)
+    if "error" in data:
+        return data
+
+    try:
+        result = data["chart"]["result"][0]
+        meta = result["meta"]
+        return {
+            "symbol": meta["symbol"],
+            "name": meta.get("shortName", meta.get("longName", "N/A")),
+            "price": meta["regularMarketPrice"],
+            "previous_close": meta.get("chartPreviousClose", meta.get("previousClose")),
+            "currency": meta.get("currency", "USD"),
+            "exchange": meta.get("exchangeName", "N/A"),
+            "market_state": meta.get("marketState", "N/A"),
+        }
+    except (KeyError, IndexError, TypeError) as e:
+        return {"error": f"Parse error: {e}"}
+
+
+def get_trend(symbol: str, range_: str = "3mo") -> dict:
+    """Fetch trend data for a symbol over a time range."""
+    data = fetch_chart(symbol, range_=range_, interval="1d")
+    if "error" in data:
+        return data
+
+    try:
+        result = data["chart"]["result"][0]
+        meta = result["meta"]
+        timestamps = result["timestamp"]
+        closes = result["indicators"]["quote"][0]["close"]
+
+        # Filter valid data points
+        valid_data = [(t, c) for t, c in zip(timestamps, closes) if c is not None]
+        if not valid_data:
+            return {"error": "No price data available"}
+
+        first_ts, first_price = valid_data[0]
+        last_ts, last_price = valid_data[-1]
+        prices_only = [c for _, c in valid_data]
+
+        high = max(prices_only)
+        low = min(prices_only)
+        change = last_price - first_price
+        pct_change = (change / first_price) * 100
+
+        return {
+            "symbol": meta["symbol"],
+            "name": meta.get("shortName", meta.get("longName", "N/A")),
+            "range": range_,
+            "start_date": datetime.fromtimestamp(first_ts).strftime("%b %d"),
+            "end_date": datetime.fromtimestamp(last_ts).strftime("%b %d"),
+            "start_price": first_price,
+            "end_price": last_price,
+            "change": change,
+            "pct_change": pct_change,
+            "high": high,
+            "low": low,
+            "prices": prices_only,
+        }
+    except (KeyError, IndexError, TypeError) as e:
+        return {"error": f"Parse error: {e}"}
+
+
+def format_quote(q: dict) -> str:
+    """Format quote for display."""
+    if "error" in q:
+        return f"Error: {q['error']}"
+
+    price = q["price"]
+    prev = q.get("previous_close")
+
+    if prev:
+        change = price - prev
+        pct = (change / prev) * 100
+        direction = "+" if change >= 0 else ""
+        change_str = f" ({direction}{change:.2f}, {direction}{pct:.2f}%)"
+    else:
+        change_str = ""
+
+    market = f" [{q['market_state']}]" if q.get("market_state") else ""
+
+    return f"{q['symbol']} ({q['name']}): ${price:.2f}{change_str}{market}"
+
+
+def format_trend(t: dict) -> str:
+    """Format trend data for display."""
+    if "error" in t:
+        return f"Error: {t['error']}"
+
+    direction = "+" if t["change"] >= 0 else ""
+
+    # Build sparkline
+    prices = t["prices"]
+    weekly = prices[::5] + [prices[-1]]  # Sample every 5 trading days
+    min_p, max_p = min(weekly), max(weekly)
+    range_p = max_p - min_p if max_p > min_p else 1
+    bars = "▁▂▃▄▅▆▇█"
+    sparkline = ""
+    for p in weekly:
+        idx = int((p - min_p) / range_p * 7.99)
+        idx = min(7, max(0, idx))
+        sparkline += bars[idx]
+
+    return f"""{t['symbol']} ({t['name']}) - {t['range']} Trend
+{'=' * 42}
+Start ({t['start_date']}):  ${t['start_price']:.2f}
+Now ({t['end_date']}):      ${t['end_price']:.2f}
+Change:        {direction}{t['change']:.2f} ({direction}{t['pct_change']:.1f}%)
+High:          ${t['high']:.2f}
+Low:           ${t['low']:.2f}
+
+${min_p:.0f} {sparkline} ${max_p:.0f}"""
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Fetch stock quotes")
+    parser.add_argument("symbols", nargs="+", help="Stock symbol(s) to look up")
+    parser.add_argument("--json", action="store_true", help="Output as JSON")
+    parser.add_argument(
+        "--trend",
+        nargs="?",
+        const="3mo",
+        metavar="RANGE",
+        help="Show trend (default: 3mo). Ranges: 1mo, 3mo, 6mo, 1y, 2y, 5y, ytd, max",
+    )
+    args = parser.parse_args()
+
+    if args.trend:
+        results = [get_trend(s, args.trend) for s in args.symbols]
+        formatter = format_trend
+    else:
+        results = [get_quote(s) for s in args.symbols]
+        formatter = format_quote
+
+    if args.json:
+        # Remove prices array from JSON output (too verbose)
+        for r in results:
+            if "prices" in r:
+                del r["prices"]
+        print(json.dumps(results, indent=2))
+    else:
+        for i, r in enumerate(results):
+            if i > 0:
+                print()
+            print(formatter(r))
+
+
+if __name__ == "__main__":
+    main()