Created a Trump-Trade skill using Codex and open-sourced it on GitHub. Feel free to use it ⬇️ https://(github.com)/MEJ50749/trump-trades-skill Best use cases: 1. **Track new disclosures** You can now directly ask: Use trump-trades to analyze the latest Trump 278-T, list net buys, net sells, and changes in AI/Defense/Energy themes. 2. **Break down individual stocks** For example: Use trump-trades to check if NVDA is a net buy or net sell in Trump’s disclosures? What are the concentrated trading dates? It will output buys, sells, midpoint estimates, large trades, and risk metrics. 3. **Create thematic trade radars** For example: Analyze AI semiconductor themes in Trump’s disclosures. Quickly aggregate NVDA / AVGO / AMD / DELL / SMCI / PLTR / ORCL / MSFT / TXN / CDNS / SNPS, etc. 4. **Generate content/tweet material** You can have it distill disclosures into: Give me a tweet-sized summary: What are the three most obvious trends in Trump’s Q1 trades? 5. **Perform reverse verification** If you see someone on X claiming “Trump is heavily invested in a certain stock,” you can ask it to check: Is this based on holdings, trades, or just a concept stock? Provide the evidence chain. **Maximize its value**: Always have it output data scope + conclusions + caveats. For example, use a fixed template: Use trump-trades to analyze [target/theme/latest disclosure], output: 1. Data source and date; 2. Net buys/sells; 3. Relevant policy themes; 4. Areas where conclusions can’t be drawn; 5. A one-sentence tweet summary. This way, it’s not just a lookup tool but your personal “Trump disclosure research assistant.”