Skip to content
FunCoding

peer-readacross

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).

Star
970
License
Apache-2.0
Last commit
Aug 12, 2026

plugins/alphai/skills/peer-readacross/SKILL.md

View on GitHub

Peer read-across

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.

Steps

  1. Resolve both tickers. If given company names, map them with alphai_tickers(q=...). Any symbol that isn't a recognized active ticker comes back in unknown_tickers and contributes no rows — surface that.
  2. Run the comparison. Call 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.
  3. Tighten on request. Raise min_relevance (default 4) for only the strongest items, or limit for more rows per list.

Output

  • Shared story — the news naming both names: what links them right now and which way the read-across cuts (does A's news help or hurt B?).
  • {Ticker A} — 2–3 of its own top stories, one-liners.
  • {Ticker B} — same.
  • Net read — one or two sentences: are they moving together or diverging, and what's the single linking factor (a shared customer, a sector catalyst, a head-to-head product)?

Guardrails

  • If 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.
  • Lead with relevance_score.
  • Describe the read-across the reporting supports; don't manufacture a causal link. News, not advice.

Similar Skills

research

MAmattpocock/skills288k10,178 new stars in the last 7 days

benchmark-methodology

AFaffaan-m/ECC278k4,046 new stars in the last 7 days

investigate

GAgarrytan/gstack136k883 new stars in the last 7 days

banner-design

NEnextlevelbuilder/ui-ux-pro-max-skill135k1,864 new stars in the last 7 days

brand

NEnextlevelbuilder/ui-ux-pro-max-skill135k1,864 new stars in the last 7 days

Official

email-marketing

NEnexu-io/open-design101k1,126 new stars in the last 7 days