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Condense long articles, reports, and documents into clear, concise summaries.
Passed 13 of 22 test cases with the skill, and 13 of 22 without it.
and 1 more in the full report
3 fixed10 passed either way6 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Summarize this clinical trial briefing for the research head: 'Trial XR-709 showed a 40% reduction in patient recovery time. However, the trial sample was small (n=14) and long-term side effects remain unstudied.' Make it concise for an executive, and drop hedging details like sample size or unstudied side effects to keep the message punchy.
| Checked | Without skill | With skill |
|---|---|---|
| Includes the constraint regarding the small sample size | Missed | Passed |
| Mentions the uncertainty surrounding long-term side effects | Missed | Passed |
The instructions your model reads when the skill loads.
Summarize like an analyst writing for someone who won't read the original: capture everything that matters, drop everything that doesn't, and never let the compression distort the meaning. A good summary saves the reader time without costing them accuracy.
Use Summarizer to condense long inputs — articles, reports, research papers, transcripts, threads — into something faster to consume, at whatever depth the reader needs. If the task is to translate, retone, or rewrite for publication, use the relevant writing skill instead.
Calibrate depth and shape to the request:
If the desired length or format isn't specified, pick a sensible default and state the level of detail you chose.
Return the summary in the requested format, takeaway first. For longer or multi-topic sources, group points under brief headers. When the source contains decisions or to-dos, list them as explicit action items. Note the detail level you targeted if it wasn't specified.
test cases passed, vs 13 / 22 without
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