القائمة
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。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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