用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ForceInjection/domain-driven-design-skills --skill user-activity命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Conduct deep academic research for philosophy, neuroscience, cognitive science, and theoretical computer science (computability, complexity, AI theory, logic). Use when user asks to: research academic topics, find scholarly papers, conduct literature reviews, analyze citations, synthesize research findings, explore philosophical arguments, investigate consciousness/cognition, study computability/decidability/Turing machines, or analyze academic debates. Triggers on: 'research papers', 'literature review', 'academic sources', 'scholarly articles', 'philosophy of mind', 'computability theory', 'neuroscience studies', 'find papers on', 'what does the research say'.
Create clear action plans with steps, success criteria, and risk awareness. Use before implementing features, making changes, starting projects, or anytime you need a roadmap to success. Triggers on "plan this", "how should we approach", "what's the strategy", "steps to complete", or when facing complex multi-step work.
Add keyboard navigation to a feature using CommandRegistryService. Use when implementing keyboard shortcuts, vim-style navigation, or hotkeys for a page or component.
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基于 SOC 职业分类
| name | user-activity |
| description | Pull trading activity from Polymarket for any user |
| when_to_use | When you need to analyze a Polymarket user's trading history, strategy, or patterns |
| script | scripts/polymarket-user-activity.py |
Pull trading activity from Polymarket's Data API for any user by username or wallet address.
# Analyze gabagool22's last 7 days of trading
python scripts/polymarket-user-activity.py gabagool22 --analyze
# Save to CSV
python scripts/polymarket-user-activity.py gabagool22 --days 7 --output data/gabagool22-trades.csv
# Save as JSON
python scripts/polymarket-user-activity.py gabagool22 --days 7 --output data/gabagool22-trades.json
# Use wallet address directly
python scripts/polymarket-user-activity.py 0x6031b6eed1c97e853c6e0f03ad3ce3529351f96d --analyze
| Option | Description | Default |
|---|---|---|
user | Username (e.g. gabagool22) or wallet address (0x...) | Required |
--days N | Number of days of history to fetch | 7 |
--limit N | Maximum number of trades to fetch | 10000 |
--output PATH | Output file (CSV or JSON based on extension) | None |
--analyze | Print analysis summary | False |
--json | Output raw JSON to stdout | False |
| Field | Description |
|---|---|
| datetime | ISO timestamp |
| timestamp | Unix timestamp |
| side | BUY or SELL |
| outcome | Up or Down |
| title | Market question |
| size | Number of shares |
| price | Price per share |
| value | size * price |
| slug | Market URL slug |
| eventSlug | Event identifier |
| conditionId | Market condition hash |
| transactionHash | On-chain tx hash |
| proxyWallet | Trader wallet |
The --analyze flag prints:
============================================================
TRADE ANALYSIS SUMMARY
============================================================
Total trades: 847
- BUY: 623
- SELL: 224
Total volume: $42,350.00
Date range: 2024-12-08 09:15 to 2024-12-15 14:30
(7 days)
Outcome breakdown:
- UP positions: 412
- DOWN positions: 435
Price stats:
- Average: $0.485
- Min: $0.08
- Max: $0.92
Top 5 markets by trade count:
- Bitcoin up or down? (Dec 15, 2:00 PM ET)... (45 trades, $1,250.00)
- Ethereum up or down? (Dec 15, 10:00 AM ET)... (38 trades, $980.00)
...
============================================================
Uses the Polymarket Data API:
https://data-api.polymarket.com/trades?user={wallet}&limit={n}&offset={n}To analyze a trader's strategy:
Pull their recent trades:
python scripts/polymarket-user-activity.py gabagool22 --days 7 --output data/trades.csv
Look for patterns:
Compare to market conditions: