A Quicken for Mac data file (circa 2007-2008, Quicken Mac 2007) was provided as a macOS bundle directory with no working copy of Quicken available to export from. The goal was to extract transaction data (dates, payees, check numbers, memos, and amounts) into a CSV.
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| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Math Tutor</title> | |
| <style> | |
| * { box-sizing: border-box; margin: 0; padding: 0; } | |
| body { | |
| font-family: 'Segoe UI', system-ui, sans-serif; |
Generated with Claude Code + Opus 4.6
The star of the show is the canal's infamous bottom sediment, affectionately known as "black mayonnaise" — a thick, oily sludge that is in some places up to 20 feet deep. It's a lethal cocktail of:
- Coal tar from old manufactured gas plants
- Heavy metals: mercury, lead, copper, arsenic, chromium
| #!/usr/bin/env bun | |
| // ── Star Field ────────────────────────────────────────────────────── | |
| // Parallax star field that scrolls right-to-left in the terminal. | |
| // 3 depth layers, 256-color, differential rendering (only redraws | |
| // changed cells). Supports ASCII and Unicode glyph modes, adjustable | |
| // star density, scroll speed, and color saturation — all via hotkeys. | |
| // Made with Claude Code. | |
| // | |
| // Usage: bun starfield.ts [--ascii|--unicode] [--stars N] [--speed N] [--sat N] |
The Playwright MCP server (@playwright/mcp) defaults to Chrome (channel: "chrome"), expecting it at /opt/google/chrome/chrome. Chrome has no ARM64 Linux binaries, so it fails immediately. The browser_install MCP tool also fails on ARM64.
Claude Code ignores args and env fields in ~/.claude/mcp.json for the playwright MCP server — it always launches npm exec @playwright/mcp@latest with no arguments and no custom env vars. So --browser firefox, env vars like PLAYWRIGHT_MCP_BROWSER, and custom command wrapper scripts all have no effect.
Your intuition is correct: all three systems fundamentally collect a mass of signals, send them to black-box server-side ML models, and get back a probabilistic score. None of them have a clean deterministic "if X then bot" rule. It's all heuristics and probability. But the depth of what they collect is staggering.
Here's a comprehensive summary of tips for getting Nano Banana (Gemini) to generate images better suited for small use cases:
Use specific dimension keywords:
- "32×32 pixel art icon of [subject]"
- "16-bit pixelated [subject]"
- "8-bit pixel art in the style of [retro game]"
- "Low-resolution pixel art" or "chunky pixels"
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>MCU Ratings</title> | |
| <script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script> | |
| <style> | |
| body { margin: 20px; font-family: system-ui, sans-serif; background: #030712; color: #fff; } | |
| h1 { text-align: center; margin-bottom: 20px; } |
| function status() { | |
| result=$(/usr/local/bin/hidapitester --vidpid 046D/C900 --open --length 20 \ | |
| --send-output 0x11,0xff,0x04,0x01 --read-input --timeout 500 2>/dev/null) | |
| if echo "$result" | grep -q "11 FF 04 01 01"; then | |
| echo "on" | |
| else | |
| echo "off" | |
| fi | |
| } |