发现最适合你需求的 AI 技能
使用 poocr 库识别发票并导出 Excel。当用户需要识别增值税发票、批量处理发票文件或提取发票信息到 Excel 时调用此技能。
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Interact with Mamo DeFi yield strategies on Base (Moonwell). Deposit/withdraw USDC, cbBTC, MAMO, or ETH into automated yield strategies. Check APY rates and account status.
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AI-powered presentation generation using 2slides API. Create slides from text content, match reference image styles, or summarize documents into presentations. Use when users request to "create a presentation", "make slides", "generate a deck", "create slides from this content/document/image", or any presentation creation task. Supports theme selection, multiple languages, and both synchronous and asynchronous generation modes.
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Trades Polymarket prediction markets on major cyberattacks, ransomware incidents, data breaches, zero-day exploits, and national cybersecurity legislation. Exploits two structural edges — technical information asymmetry (retail cannot read CISA KEV advisories or Verizon DBIR base rates) and the Patch Tuesday timing window (CISA adds the most KEV entries in the 72 hours post-Patch-Tuesday; Polymarket reprices with a 6–12 hour lag).
Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.
Fetch and send Hacker News front-page posts on demand. Use when the user asks for HN, says 'hn', 'pull HN', 'hn 10', or specifies a topic like 'hn health', 'hn hacking', or 'hn tech'. Sends N (default 5) posts as individual messages with Title + Link. Exclude crypto.
Trades Polymarket prediction markets on celebrity events, viral social media moments, Elon Musk tweet counts, influencer milestones, and reality TV outcomes. Exploits fan loyalty overcrowding and data-trackable metric gaps (Social Blade, posting cadence, boxing records) that retail ignores.
Trades Polymarket prediction markets on hurricane seasons, earthquake probabilities, wildfire forecasts, and extreme weather records. Exploits two structural edges — availability bias correction (retail anchors to vivid recent disasters rather than 40+ years of NOAA base rates) and seasonal data quality timing (signal is only actionable when models are actively running in real time).
