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Get Started Free →Create a new SOP-style skill as skills/<name>/SKILL.md with kind: sop frontmatter and structured Parameters/Steps sections.
.claude/skills/mikeyobrien-create-sop/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 38% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -27% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 41% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 20% | 0% |
Create a new workflow skill where SOPs are implemented as skills.
Canonical artifact:
skills/<skill-name>/SKILL.mdA valid SOP skill must include:
name, description, and kind: sop## Parameters## Stepsskills): Parent directory for the skilltrue): Include ## Examplestrue): Include ## TroubleshootingConstraints:
Constraints:
skill_name.Constraints:
yaml--- name: <skill_name> description: <one-line purpose> kind: sop ---
# <Title>## Overview## Parameters## StepsMUST, SHOULD, MAY).Constraints:
{output_dir}/{skill_name}/SKILL.mdskills/<skill_name>/SKILL.md.Constraints:
kind: sop.## Parameters and ## Steps are present./skill run {skill_name}.When done, report:
Input:
sop_topic: "Automated code review with lint/test gates"skill_name: code-reviewOutput path:
skills/code-review/SKILL.mdRun with:
/skill run code-review| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | pass→fail | 14,843 | 20,537 | +38% | 1 | 1 | 0% | 2,918 | 4,880 | +67% | 0 | 0 | — |
case-01 | fail→pass | 13,648 | 30,888 | +126% | 1 | 1 | 0% | 2,383 | 3,283 | +38% | 0 | 0 | — |
case-02 | fail→pass | 38,099 | 10,296 | -73% | 1 | 1 | 0% | 3,483 | 2,532 | -27% | 0 | 0 | — |
case-03 | fail→pass | 24,192 | 17,763 | -27% | 1 | 1 | 0% | 3,966 | 3,737 | -6% | 0 | 0 | — |
case-04 | pass→pass | 6,991 | 6,346 | -9% | 1 | 1 | 0% | 1,049 | 1,633 | +56% | 0 | 0 | — |
case-05 | pass→fail | 15,439 | 29,144 | +89% | 1 | 1 | 0% | 2,753 | 6,183 | +125% | 0 | 0 | — |
case-07 | fail→pass | 11,795 | 12,256 | +4% | 1 | 1 | 0% | 2,126 | 2,989 | +41% | 0 | 0 | — |
case-08 | fail→pass | 13,286 | 10,734 | -19% | 1 | 1 | 0% | 2,353 | 2,819 | +20% | 0 | 0 | — |
case-09 | fail→pass | 12,831 | 9,364 | -27% | 1 | 1 | 0% | 2,247 | 2,331 | +4% | 0 | 0 | — |
case-10 | fail→pass | 9,240 | 10,733 | +16% | 1 | 1 | 0% | 1,713 | 2,683 | +57% | 0 | 0 | — |
case-11 | fail→pass | 13,389 | 16,185 | +21% | 1 | 1 | 0% | 2,196 | 3,732 | +70% | 0 | 0 | — |
case-12 | fail→pass | 15,442 | 10,650 | -31% | 1 | 1 | 0% | 2,796 | 2,573 | -8% | 0 | 0 | — |
case-13 | fail→pass | 13,526 | 12,945 | -4% | 1 | 1 | 0% | 2,316 | 2,867 | +24% | 0 | 0 | — |
case-14 | fail→pass | 17,414 | 11,811 | -32% | 1 | 1 | 0% | 3,365 | 3,002 | -11% | 0 | 0 | — |
case-15 | pass→pass | 12,953 | 13,952 | +8% | 1 | 1 | 0% | 2,353 | 3,264 | +39% | 0 | 0 | — |
case-16 | pass→pass | 11,147 | 9,378 | -16% | 1 | 1 | 0% | 2,034 | 2,300 | +13% | 0 | 0 | — |
case-17 | fail→pass | 12,344 | 10,137 | -18% | 1 | 1 | 0% | 2,304 | 2,705 | +17% | 0 | 0 | — |
case-18 | fail→pass | 11,416 | 10,044 | -12% | 1 | 1 | 0% | 2,276 | 2,665 | +17% | 0 | 0 | — |
case-19 | pass→pass | 9,244 | 11,260 | +22% | 1 | 1 | 0% | 1,422 | 2,883 | +103% | 0 | 0 | — |
case-20 | pass→pass | 8,004 | 10,965 | +37% | 1 | 1 | 0% | 1,407 | 2,864 | +104% | 0 | 0 | — |
case-21 | pass→pass | 14,628 | 9,051 | -38% | 1 | 1 | 0% | 2,482 | 2,272 | -8% | 0 | 0 | — |
case-22 | fail→pass | 8,843 | 10,373 | +17% | 1 | 1 | 0% | 1,649 | 2,693 | +63% | 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 +55 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.