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Synthesize recent customer feedback and pain points
Passed 20 of 22 test cases with the skill, and 10 of 22 without it.
and 12 more in the full report
12 fixed11 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
When running a feedback review for 'last quarter', what exact date window in days does the timeframe parsing logic resolve to?
| Checked | Without skill | With skill |
|---|---|---|
| The timeframe resolves to 90 days. | Missed | Passed |
The instructions your model reads when the skill loads.
Aggregate and analyze customer feedback from all sources - meeting notes, person pages, feedback captures - to identify patterns, prioritize pain points, and inform product decisions.
Treat customer intelligence as an evidence ledger, not as memory or a polished guess.
unknown and return insufficient evidence rather than filling the gap./customer-intel - Review last 30 days of feedback/customer-intel [timeframe] - Specify timeframe (e.g., "last week", "Q1", "last 90 days")/customer-intel [customer-name] - Deep dive on specific customerResolve the requested customer or time window before gathering. Build a dated source ledger from meeting notes, person pages, feedback captures, and project records. Preserve exact quotes separately from paraphrases, deduplicate copied records, and distinguish independent mentions from repetitions. Classify every theme, frequency, trend, sentiment, and roadmap connection as observed, inferred, contradictory, stale, or unknown. Compare supporting and disconfirming evidence, then produce recommendations only where coverage is sufficient. Keep the entire analysis read-only unless the user separately approves an exact write preview.
Return the resolved scope and coverage, source ledger, deduplication decisions,
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.