research
MAmattpocock/skills288k近 7 天新增 10,178 个 star
Compare two tickers and surface the cross-read between them using the AlphaAI MCP. Use when the user asks to "compare X and Y", "NVDA vs AMD", "what does <peer>'s news mean for <ticker>", or wants the read-across between two related names (competitors, supplier/customer, same theme).
When two names are linked — competitors, a supplier and its customer, two plays
on one theme — the interesting signal is the read-across: a peer's print that
resets the other's setup. alphai_pair_analysis is built for exactly this.
alphai_tickers(q=...). Any symbol that isn't a recognized active ticker
comes back in unknown_tickers and contributes no rows — surface that.alphai_pair_analysis(ticker_a, ticker_b). It
returns three things: news naming both companies (the shared read-across),
plus each ticker's own recent news for context.min_relevance (default 4) for only the
strongest items, or limit for more rows per list.alphai_pair_analysis returns no shared rows, say so — the two names may
simply not be in the same story flow right now; fall back to summarizing each
side's own news rather than forcing a connection.relevance_score.MAmattpocock/skills288k近 7 天新增 10,178 个 star
AFaffaan-m/ECC278k近 7 天新增 4,046 个 star
GAgarrytan/gstack136k近 7 天新增 883 个 star
NEnextlevelbuilder/ui-ux-pro-max-skill135k近 7 天新增 1,864 个 star
NEnextlevelbuilder/ui-ux-pro-max-skill135k近 7 天新增 1,864 个 star
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