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Get Started Free →Use when targeting Diabetologia or deciding whether a diabetes clinical, epidemiological, or basic/translational study fits this venue. Encodes the journal's diabetes-focused fit across the evidence spectrum, the mechanistic and methodological bar, reporting-guideline and registration requirements, EASD house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.
.claude/skills/brycewang-stanford-diabetologia/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 1% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -12% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 42% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 50% | 0% |
Diabetologia is the flagship journal of the European Association for the Study of Diabetes (EASD), publishing diabetes-focused research across the full evidence spectrum — clinical and pragmatic trials, epidemiology and population science, and basic/translational science of islet biology, insulin action, complications, and metabolism. Unlike a broad endocrine journal, Diabetologia is diabetes-dedicated and explicitly welcomes rigorous basic and mechanistic science (beta-cell biology, insulin signaling, animal/cell models) alongside human clinical and epidemiologic work. Its defining expectation is a significant advance in understanding, preventing, treating, or explaining diabetes and its complications, not a small descriptive series or an association study with no mechanistic or clinical payoff. This skill is a fit / venue-selection / re-framing aid; it is not clinical or regulatory advice and does not replace the journal's current instructions for authors. Before submitting, re-check the live Diabetologia author instructions.
study and wants a fit/framing check.
a complications-outcome question.
(broad endocrine), and The Lancet Diabetes & Endocrinology (high-impact trials).
expectations for diabetes research.
management trials.
cohorts.
and animal models.
diabetes, with mechanism or outcome rigor.
endpoints; trials require prospective registration and the registration number.
for observational/epidemiologic work, PRISMA for systematic reviews, ARRIVE for animal studies.
reagents/models, and blinded/randomized animal experiments where applicable.
islets, tissue, or cohorts; glucose/insulin-clamp and metabolic methods must be described.
must match the design.
conclusions) and a research-in-context/significance statement; re-check current article types and limits on the live guide.
mechanistic or practice implication and bounds overreach.
work reports ARRIVE-aligned detail.
supplement carries full methods, the protocol/SAP, and additional experiments.
../../resources/source-basis.md and../../resources/official-source-map.md; start from the ICMJE/EQUATOR and EASD/Springer anchors, then cite the current Diabetologia page you checked.
current version.
word/figure/reference limits.
data/code-availability, and protocol/SAP submission.
conflict-of-interest disclosure, funding, and AI-use disclosure.
win.
journal-of-clinical-endocrinology-and-metabolism.the-lancet-diabetes-and-endocrinology.journal-of-the-american-society-of-nephrology / kidney-international.american-journal-of-obstetrics-and-gynecology.jama / NEJM / The Lancet in the natural-science bundle).text[Fit] High / Medium / Low (one-line reason) [Target] Diabetologia (EASD) [Specialty tags] <T1D / T2D / islet biology / complications / epidemiology + clinical/basic> [Study design / reporting guideline] <RCT-CONSORT / cohort-STROBE / review-PRISMA / animal-ARRIVE> [Method/evidence] <power, mechanism, controls/replication, registration> [Top risk] <the single most likely reason for rejection> [Official items to re-check] <article type / registration / checklist / IACUC / ethics / disclosures> [Re-route suggestion] <if not a fit, a better-matched venue>
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→pass | 31,644 | 13,169 | -58% | 1 | 1 | 0% | 4,621 | 3,455 | -25% | 0 | 0 | — |
case-01 | fail→pass | 31,690 | 15,085 | -52% | 1 | 1 | 0% | 3,138 | 3,162 | +1% | 0 | 0 | — |
case-03 | fail→pass | 34,539 | 19,591 | -43% | 1 | 1 | 0% | 4,155 | 3,646 | -12% | 0 | 0 | — |
case-04 | pass→pass | 18,466 | 16,846 | -9% | 1 | 1 | 0% | 2,538 | 2,974 | +17% | 0 | 0 | — |
case-05 | pass→pass | 26,461 | 12,903 | -51% | 1 | 1 | 0% | 3,885 | 3,018 | -22% | 0 | 0 | — |
case-06 | fail→fail | 18,272 | 12,114 | -34% | 1 | 1 | 0% | 3,542 | 2,725 | -23% | 0 | 0 | — |
case-07 | pass→pass | 18,367 | 10,906 | -41% | 1 | 1 | 0% | 2,089 | 3,071 | +47% | 0 | 0 | — |
case-08 | fail→fail | 22,800 | 7,167 | -69% | 1 | 1 | 0% | 3,119 | 2,889 | -7% | 0 | 0 | — |
case-09 | pass→pass | 19,968 | 6,836 | -66% | 1 | 1 | 0% | 2,346 | 2,589 | +10% | 0 | 0 | — |
case-10 | pass→pass | 14,161 | 12,149 | -14% | 1 | 1 | 0% | 2,291 | 2,809 | +23% | 0 | 0 | — |
case-11 | pass→pass | 18,472 | 11,047 | -40% | 1 | 1 | 0% | 2,184 | 2,635 | +21% | 0 | 0 | — |
case-12 | fail→pass | 12,146 | 6,242 | -49% | 1 | 1 | 0% | 1,955 | 2,776 | +42% | 0 | 0 | — |
case-13 | fail→fail | 23,203 | 13,481 | -42% | 1 | 1 | 0% | 3,452 | 2,903 | -16% | 0 | 0 | — |
case-14 | fail→fail | 24,447 | 8,871 | -64% | 1 | 1 | 0% | 3,236 | 3,112 | -4% | 0 | 0 | — |
case-15 | pass→pass | 21,277 | 12,336 | -42% | 1 | 1 | 0% | 2,351 | 2,771 | +18% | 0 | 0 | — |
case-16 | fail→pass | 39,422 | 13,581 | -66% | 1 | 1 | 0% | 1,916 | 2,879 | +50% | 0 | 0 | — |
case-17 | fail→pass | 21,365 | 13,616 | -36% | 1 | 1 | 0% | 2,380 | 3,091 | +30% | 0 | 0 | — |
case-18 | fail→pass | 17,742 | 13,390 | -25% | 1 | 1 | 0% | 2,515 | 2,959 | +18% | 0 | 0 | — |
case-19 | pass→fail | 21,767 | 12,713 | -42% | 1 | 1 | 0% | 3,229 | 3,698 | +15% | 0 | 0 | — |
case-20 | pass→fail | 16,339 | 14,370 | -12% | 1 | 1 | 0% | 3,000 | 4,262 | +42% | 0 | 0 | — |
case-21 | pass→pass | 24,917 | 15,747 | -37% | 1 | 1 | 0% | 3,383 | 4,141 | +22% | 0 | 0 | — |
case-22 | fail→pass | 26,802 | 14,644 | -45% | 1 | 1 | 0% | 2,838 | 3,237 | +14% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +27 percentage points is the difference between those two pass rates over the 22 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.