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Synthesize raw user research (interviews, surveys, tickets) into themed findings and decision-ready briefs.
Passed 17 of 23 test cases with the skill, and 8 of 23 without it.
and 10 more in the full report
9 fixed8 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We compiled our final qualitative findings into findings.json. What exact terminal command generates the structured markdown findings brief using our script?
| Checked | Without skill | With skill |
|---|---|---|
| specifies executing python3 research-summarizer/scripts/findings_brief_generator.py --input findings.json --format markdown | Missed | Passed |
The instructions your model reads when the skill loads.
A skill focused on synthesizing and communicating research — the part that comes after you've collected the data. Distinct from the research collection skills which guide interview design, recruiting, and protocol.
This skill assumes you have raw inputs (transcripts, notes, survey responses) and need to turn them into trustworthy insights that drive product decisions.
Before generating the synthesis or brief, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 8 / 23 without
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