synthesize-research (anthropics)

Turns a pile of already-collected qualitative input — interview notes, survey responses, support tickets, sales-call feedback — into one structured read: themes grouped and counted, findings ranked by frequency and impact, and recommendations tied back to the evidence. It is about COMPRESSING many scattered sources into a single coherent synthesis, not running an experiment, sizing a market, or filing and circulating the raw materials.

A situation it fits

After your customer-champion squad gathers two months of angry Yelp screenshots, Zoom transcripts, and handwritten thank-you cards, you need a single plain-language memo that tells your product lead which gripes happen most often and which ones would actually drive away renewals.
synthesize-research (anthropics). This skill takes a messy pile of raw qualitative input — screens, transcripts, and notes — and turns it into one structured read that ranks grievances by frequency and flags the ones that actually threaten renewals. It wins because the scenario is all about compressing scattered customer feedback into a ranked summary, which this skill is specifically built to do.

2 scenarios in the bank answer to synthesize-research (anthropics). The rest are in the game.

Skills it gets confused with

These share a family with synthesize-research (anthropics), which is another way of saying they are the ones you might reach for by mistake.

Knowing what synthesize-research (anthropics) does is the easy half. Telling it apart from the others under time pressure is the game.

Today's session

synthesize-research (anthropics) is part of anthropics/knowledge-work-plugins. Licence: Apache-2.0. The description above was written for this game, not taken from the skill.

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