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Get Started Free →To rewrite text in a clear, natural, honest human tone — no AI slop, hype, or robotic phrasing.
.claude/skills/griddynamics-natural-writing/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 79% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 202% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 81% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 59% | 0% |
<natural_writing>
<role>
Senior writing specialist with decades of craft — trained to produce clear, honest, human prose that reads like a real person wrote it, not a language model.
</role>
<when_to_use_skill> Use when producing or revising text that must sound authentically human — emails, blog posts, docs, social content — where AI-generated phrasing or robotic tone would undermine trust. Solves text that technically communicates but feels hollow, full of filler, clichés, or machine-generated markers. </when_to_use_skill>
<core_concepts>
Writing principles:
Constraints (strict no-use rules):
</core_concepts>
<validation_checklist>
</validation_checklist>
<best_practices>
</best_practices>
<pitfalls>
</pitfalls>
<resources>
docs/schemas/skill.md — Skill file format reference</resources>
<templates>
Input intent confirmation format:
Original text: [Paste the text you want to rewrite]
Type of content: [ex: email, blog post, tweet, explainer]
Main topic or message: [Insert the topic or core idea]
Target audience: [Insert who it's for, if relevant]
Any must-keep terms, details, or formatting: [List anything that must stay intact]</templates>
</natural_writing>
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 7,592 | 5,501 | -28% | 1 | 1 | 0% | 1,269 | 1,836 | +45% | 0 | 0 | — |
case-02 | fail→fail | 6,432 | 5,233 | -19% | 1 | 1 | 0% | 1,106 | 1,864 | +69% | 0 | 0 | — |
case-03 | fail→pass | 6,935 | 6,038 | -13% | 1 | 1 | 0% | 1,099 | 1,962 | +79% | 0 | 0 | — |
case-04 | pass→pass | 14,081 | 8,877 | -37% | 1 | 1 | 0% | 3,029 | 2,549 | -16% | 0 | 0 | — |
case-05 | pass→pass | 12,958 | 6,671 | -49% | 1 | 1 | 0% | 2,230 | 2,105 | -6% | 0 | 0 | — |
case-06 | pass→pass | 9,467 | 6,291 | -34% | 1 | 1 | 0% | 1,777 | 1,981 | +11% | 0 | 0 | — |
case-07 | fail→pass | 3,503 | 5,212 | +49% | 1 | 1 | 0% | 605 | 1,830 | +202% | 0 | 0 | — |
case-08 | fail→pass | 4,556 | 3,454 | -24% | 1 | 1 | 0% | 820 | 1,481 | +81% | 0 | 0 | — |
case-09 | pass→pass | 4,657 | 5,170 | +11% | 1 | 1 | 0% | 866 | 1,757 | +103% | 0 | 0 | — |
case-10 | pass→pass | 7,068 | 4,328 | -39% | 1 | 1 | 0% | 1,127 | 1,706 | +51% | 0 | 0 | — |
case-11 | fail→fail | 8,166 | 5,823 | -29% | 1 | 1 | 0% | 1,393 | 1,901 | +36% | 0 | 0 | — |
case-12 | pass→pass | 4,325 | 4,021 | -7% | 1 | 1 | 0% | 688 | 1,570 | +128% | 0 | 0 | — |
case-13 | pass→pass | 7,104 | 4,226 | -41% | 1 | 1 | 0% | 1,159 | 1,609 | +39% | 0 | 0 | — |
case-14 | fail→pass | 9,260 | 7,101 | -23% | 1 | 1 | 0% | 1,387 | 2,043 | +47% | 0 | 0 | — |
case-15 | fail→pass | 6,590 | 5,533 | -16% | 1 | 1 | 0% | 1,128 | 1,791 | +59% | 0 | 0 | — |
case-16 | fail→pass | 4,319 | 4,078 | -6% | 1 | 1 | 0% | 707 | 1,537 | +117% | 0 | 0 | — |
case-17 | fail→pass | 7,259 | 4,083 | -44% | 1 | 1 | 0% | 1,223 | 1,538 | +26% | 0 | 0 | — |
case-18 | pass→pass | 4,777 | 5,236 | +10% | 1 | 1 | 0% | 793 | 1,818 | +129% | 0 | 0 | — |
case-19 | pass→pass | 4,998 | 4,208 | -16% | 1 | 1 | 0% | 845 | 1,552 | +84% | 0 | 0 | — |
case-20 | pass→pass | 3,933 | 4,060 | +3% | 1 | 1 | 0% | 641 | 1,527 | +138% | 0 | 0 | — |
case-21 | fail→pass | 5,564 | 5,355 | -4% | 1 | 1 | 0% | 893 | 1,724 | +93% | 0 | 0 | — |
case-22 | pass→pass | 3,769 | 5,482 | +45% | 1 | 1 | 0% | 655 | 1,871 | +186% | 0 | 0 | — |
case-23 | pass→pass | 3,132 | 5,003 | +60% | 1 | 1 | 0% | 518 | 1,627 | +214% | 0 | 0 | — |
case-24 | fail→pass | 8,416 | 6,187 | -26% | 1 | 1 | 0% | 1,377 | 1,856 | +35% | 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. 24 cases were attempted. The headline lift of +38 percentage points is the difference between those two pass rates over the 24 comparable cases.
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.