菜单
AIsa Last30Days — 30天多源社交媒体扫描。覆盖 Reddit、X/Twitter、YouTube、TikTok、Instagram、Hacker News、Polymarket、Web Search 八个平台。为 Writer(WH文豪) 提供热点选题发现能力。
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。
基于 SOC 职业分类
AUTO-INVOKE for fast technical scans and market briefs. Triggers: scan TICKER (or 扫 TICKER, quick TICKER) for single/multi quick analysis; port health (or port-health, 持仓健康) for batch portfolio scan; market brief HK/US (or brief HK/US, 市场简报 HK/US) for index+sector overview. Output is a DSA-style 决策看板 / 市场简报 emitted on stdout for you to deliver.
Policy-constrained Portfolio Manager (PM) decision workflow — compute investable/bucket weights, diagnose drifts and breaches, and emit three-layer recommendations with audit + chat rendering.
Deterministic portfolio valuation and chat-friendly push using Yahoo multi-endpoint fallbacks (v7 quote → v8 chart → v7 spark), static valuation for MMF/StructNote/CODE items, at-cost valuation for HSBC 2028 bond, FX overrides, MMF safety allocation, ringfenced obligations, liabilities deduction, separate lots for duplicate tickers (e.g., 0700.HK A/B), JSON snapshotting, and cron scheduling at SGT 18:00 with manual /888 trigger.
AUTO-INVOKE when user says ta [ticker], research [ticker], or 研究 [ticker]. Runs the real TradingAgents multi-agent framework (analysts + debate + risk + PM) for a single stock ticker.
AIsa MarketPulse — 美股完整金融数据：价格、财报、SEC文件、内幕交易、机构持仓、分析师预估、股票筛选器、宏观利率。通过统一 AISA_API_KEY 调用。
AIsa Prediction Market Data — 统一 Polymarket + Kalshi 预测市场数据：市场列表、实时价格、K线图、订单簿、钱包活动、P&L、跨平台匹配。CIO 追踪政治/经济/事件定价。
| name | aisa-last30days |
| description | AIsa Last30Days — 30天多源社交媒体扫描。覆盖 Reddit、X/Twitter、YouTube、TikTok、Instagram、Hacker News、Polymarket、Web Search 八个平台。为 Writer(WH文豪) 提供热点选题发现能力。 |
| auto_invoke_on | ["找热点","话题发现","最近30天","选题","热门话题","社交媒体趋势","写什么好","灵感枯竭"] |
30 天多源社交媒体扫描。 覆盖 8 个平台，返回聚类排序的话题简报。
python3 {{SKILLS_DIR}}/aisa-last30days/scripts/call.py --topic "主题" [--deep]
| 参数 | 说明 |
|---|---|
--topic | 搜索主题（必填） |
--deep | 深度模式：扩大候选池，包含更多来源和更久时间范围 |
# 写文章前扫一下 "AI agent" 话题热度
python3 {{SKILLS_DIR}}/aisa-last30days/scripts/call.py --topic "AI agent business model"
# 深度扫描：了解 "DeepSeek" 在各平台的讨论
python3 {{SKILLS_DIR}}/aisa-last30days/scripts/call.py --topic "DeepSeek" --deep
# 选题灵感：看科技圈最近30天最火的话题
python3 {{SKILLS_DIR}}/aisa-last30days/scripts/call.py --topic "technology trends"
# 竞品分析：某个 KOL 领域最近30天的讨论
python3 {{SKILLS_DIR}}/aisa-last30days/scripts/call.py --topic "value investing 2026"
last30days --topic "XXX" 扫热点aisa-search deep-research --query "XXX" 挖深度信息aisa-twitter tweet-search --query "XXX" 找最新讨论