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Refine a Stage2 ICLR rebuttal draft into polished, reviewer-facing prose in the author's style; preserve factual grounding, optionally prepend a courteous opening phrase, and normalize tables/code/formulas into Markdown.
Passed 6 of 23 test cases with the skill, and 3 of 23 without it.
and 4 more in the full report
5 fixed1 passed either way15 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Reviewer 2 questioned the diversity of our evaluation datasets. Polish my response draft into the target JSON output for an ICLR rebuttal.
| Checked | Without skill | With skill |
|---|---|---|
| Output is formatted strictly as a JSON object | Missed | Passed |
| Refined text leads immediately with dataset diversity arguments without generic introductory fluff | Missed | Passed |
The instructions your model reads when the skill loads.
Apply the shared template first:
skills/stage2/template/SKILL.mdThen apply only the ICLR-specific overrides below.
No additional structural override is required beyond conference labeling. All writing constraints, opener rules, normalization rules, and hard constraints are inherited from the base template.
test cases passed, vs 3 / 23 without
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