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last30

Cross-platform social research - narrative-first intelligence on what people are saying about a topic across Reddit, X, HN, Polymarket, and the web over the last 30 days

skills/last30/SKILL.md

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<!-- autoresearch: variation B — narrative-first output with sentiment splits, contrarian view, and what-changed delta -->

> **${var}** — Topic to research (required). Append `--quick` for a lighter pass (≤15 sources), or `--days=N` to change the lookback window (default: 30).

Google aggregates editors. A flat "top N posts per platform" aggregates noise. This skill does two things differently: (1) reframes output around **narratives** (clusters the same story across platforms) instead of platform-siloed recaps, and (2) makes the **disagreement** between platforms the primary signal — where Reddit is bearish and X is bullish on the same story, that divergence is usually the most actionable finding.

If `${var}` is empty, abort and notify: `"last30 requires var= set to a topic"`. Exit.

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## Steps

### 0. Parse parameters and bootstrap

Extract from `${var}`: