Peer readacross

Skill makeev/alphai-claude-skills/skills/peer-readacross

Claude Code skills for the AlphaAI MCP — relevance-scored financial news, insider data, and market workflows inside your agent.

Install

npx -y skills add makeev/alphai-claude-skills --skill peer-readacross

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One thing to look at

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What its author says it does

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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).

SKILL.md

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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

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.
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.
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.