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Get Started Free →Explain anything in plain language — a contract clause, a medical term, a tax rule, a tech acronym, a news story — layered from a one-liner to as much depth as you want. Use when asked to explain like I'm 5, explain this simply, break this down in plain English, or what does this even mean. Produces the one-sentence version, a plain-language explanation with a concrete analogy, the 'why it matters to you,' and an honest note on anything genuinely uncertain or oversimplified.
.claude/skills/mohitagw15856-explain-simply/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 30% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 2% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 12% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 3% | 0% |
Jargon is a wall, and most explanations either stay behind it or dumb things down so far they're wrong. This does the honest version: the gist in one sentence, then a plain-language explanation anchored to something you already understand, going only as deep as you ask — and flagging where the simple version leaves out something that actually matters.
Ask for these if not provided:
In one sentence: …
The plain version: … (with an analogy: "it's like…")
Why it matters to you: …
Worth knowing (where the simple version cuts a corner): …
Want it deeper? Ask and I'll go a layer down.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 19,785 | 17,970 | -9% | 1 | 1 | 0% | 2,091 | 2,709 | +30% | 0 | 0 | — |
case-02 | fail→fail | 20,012 | 16,981 | -15% | 1 | 1 | 0% | 2,415 | 2,563 | +6% | 0 | 0 | — |
case-03 | fail→fail | 12,361 | 13,299 | +8% | 1 | 1 | 0% | 2,118 | 1,933 | -9% | 0 | 0 | — |
case-04 | fail→pass | 20,150 | 16,019 | -21% | 1 | 1 | 0% | 2,277 | 2,318 | +2% | 0 | 0 | — |
case-05 | fail→fail | 17,118 | 15,813 | -8% | 1 | 1 | 0% | 1,910 | 2,208 | +16% | 0 | 0 | — |
case-06 | fail→fail | 17,960 | 19,193 | +7% | 1 | 1 | 0% | 2,157 | 2,493 | +16% | 0 | 0 | — |
case-07 | fail→fail | 17,576 | 13,639 | -22% | 1 | 1 | 0% | 2,281 | 1,942 | -15% | 0 | 0 | — |
case-08 | fail→pass | 19,395 | 16,834 | -13% | 1 | 1 | 0% | 2,204 | 2,477 | +12% | 0 | 0 | — |
case-09 | fail→pass | 18,118 | 14,912 | -18% | 1 | 1 | 0% | 2,170 | 2,338 | +8% | 0 | 0 | — |
case-10 | fail→fail | 12,604 | 16,789 | +33% | 1 | 1 | 0% | 2,033 | 2,528 | +24% | 0 | 0 | — |
case-11 | fail→pass | 18,024 | 14,278 | -21% | 1 | 1 | 0% | 2,066 | 2,118 | +3% | 0 | 0 | — |
case-12 | fail→pass | 17,062 | 17,106 | +0% | 1 | 1 | 0% | 1,872 | 2,440 | +30% | 0 | 0 | — |
case-13 | fail→fail | 18,568 | 11,888 | -36% | 1 | 1 | 0% | 2,127 | 2,556 | +20% | 0 | 0 | — |
case-14 | fail→pass | 16,870 | 14,291 | -15% | 1 | 1 | 0% | 1,943 | 2,171 | +12% | 0 | 0 | — |
case-15 | fail→fail | 13,979 | 8,024 | -43% | 1 | 1 | 0% | 1,563 | 1,912 | +22% | 0 | 0 | — |
case-16 | fail→pass | 19,542 | 15,975 | -18% | 1 | 1 | 0% | 2,343 | 2,374 | +1% | 0 | 0 | — |
case-17 | pass→pass | 18,650 | 14,582 | -22% | 1 | 1 | 0% | 2,132 | 2,176 | +2% | 0 | 0 | — |
case-18 | fail→pass | 13,728 | 11,440 | -17% | 1 | 1 | 0% | 2,254 | 1,669 | -26% | 0 | 0 | — |
case-19 | fail→fail | 18,932 | 14,798 | -22% | 1 | 1 | 0% | 2,189 | 2,163 | -1% | 0 | 0 | — |
case-20 | pass→fail | 36,110 | 22,987 | -36% | 1 | 1 | 0% | 6,354 | 3,445 | -46% | 0 | 0 | — |
case-21 | pass→pass | 19,981 | 16,705 | -16% | 1 | 1 | 0% | 2,275 | 2,296 | +1% | 0 | 0 | — |
case-22 | pass→pass | 8,558 | 14,515 | +70% | 1 | 1 | 0% | 1,128 | 2,127 | +89% | 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 +36 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is 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.