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Get Started Free →Use when receiving messy, unstructured input like voice transcriptions, stream-of-consciousness notes, or rough document content that needs to be transformed into a polished, optimized prompt. Cleans up filler words, extracts intent, asks clarifying questions, applies Claude 4.x/Opus 4.5/Sonnet 4.5 best practices, and previews the polished prompt for approval before execution. Trigger phrases include "polish this", "clean this up", "turn this into a prompt", or when input is clearly rough/unstru
.claude/skills/cnfjlhj-prompt-polisher/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -17% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -16% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 37% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -9% | 0% |
This skill turns rough instruction material into a prompt artifact. It is for prompt rewriting, not for general requirement discovery or mixed-signal task triage.
Use it when the user wants a better prompt as the output. If the real need is to understand a messy request before acting, route to the more general triage skill first.
Use when:
Do not use when:
reference.mdexamples.md| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 16,333 | 17,232 | +6% | 1 | 1 | 0% | 1,615 | 1,604 | -1% | 0 | 0 | — |
case-02 | fail→pass | 19,928 | 7,227 | -64% | 1 | 1 | 0% | 1,744 | 1,455 | -17% | 0 | 0 | — |
case-03 | fail→pass | 19,320 | 24,639 | +28% | 1 | 1 | 0% | 2,242 | 1,890 | -16% | 0 | 0 | — |
case-04 | fail→pass | 11,925 | 10,861 | -9% | 1 | 1 | 0% | 813 | 1,111 | +37% | 0 | 0 | — |
case-05 | fail→fail | 17,089 | 17,963 | +5% | 1 | 1 | 0% | 1,737 | 1,874 | +8% | 0 | 0 | — |
case-06 | fail→fail | 18,397 | 14,808 | -20% | 1 | 1 | 0% | 1,859 | 1,833 | -1% | 0 | 0 | — |
case-07 | fail→pass | 65,712 | 15,009 | -77% | 1 | 1 | 0% | 1,760 | 1,601 | -9% | 0 | 0 | — |
case-08 | fail→pass | 11,843 | 13,329 | +13% | 1 | 1 | 0% | 1,077 | 1,491 | +38% | 0 | 0 | — |
case-09 | fail→pass | 16,421 | 8,717 | -47% | 1 | 1 | 0% | 1,371 | 1,523 | +11% | 0 | 0 | — |
case-10 | fail→pass | 12,636 | 6,654 | -47% | 1 | 1 | 0% | 1,565 | 1,319 | -16% | 0 | 0 | — |
case-11 | fail→pass | 16,970 | 6,924 | -59% | 1 | 1 | 0% | 1,675 | 1,360 | -19% | 0 | 0 | — |
case-12 | fail→pass | 16,527 | 14,607 | -12% | 1 | 1 | 0% | 1,562 | 1,534 | -2% | 0 | 0 | — |
case-13 | fail→pass | 29,744 | 14,276 | -52% | 1 | 1 | 0% | 1,477 | 1,718 | +16% | 0 | 0 | — |
case-14 | fail→pass | 12,774 | 12,839 | +1% | 1 | 1 | 0% | 1,901 | 1,603 | -16% | 0 | 0 | — |
case-15 | fail→pass | 19,169 | 27,187 | +42% | 1 | 1 | 0% | 1,399 | 1,303 | -7% | 0 | 0 | — |
case-16 | fail→pass | 25,397 | 14,065 | -45% | 1 | 1 | 0% | 1,513 | 1,541 | +2% | 0 | 0 | — |
case-17 | fail→pass | 15,923 | 15,892 | -0% | 1 | 1 | 0% | 1,699 | 1,557 | -8% | 0 | 0 | — |
case-18 | fail→pass | 11,325 | 13,230 | +17% | 1 | 1 | 0% | 1,842 | 1,246 | -32% | 0 | 0 | — |
case-19 | fail→pass | 15,683 | 12,525 | -20% | 1 | 1 | 0% | 1,943 | 1,540 | -21% | 0 | 0 | — |
case-20 | fail→pass | 28,638 | 21,902 | -24% | 1 | 1 | 0% | 1,745 | 1,420 | -19% | 0 | 0 | — |
case-21 | fail→pass | 14,510 | 8,179 | -44% | 1 | 1 | 0% | 1,434 | 1,477 | +3% | 0 | 0 | — |
case-22 | fail→pass | 26,609 | 38,610 | +45% | 1 | 1 | 0% | 1,615 | 1,496 | -7% | 0 | 0 | — |
case-23 | pass→pass | 9,906 | 15,860 | +60% | 1 | 1 | 0% | 936 | 1,548 | +65% | 0 | 0 | — |
case-24 | pass→pass | 9,702 | 10,975 | +13% | 1 | 1 | 0% | 1,543 | 1,813 | +17% | 0 | 0 | — |
case-25 | pass→pass | 26,110 | 8,029 | -69% | 1 | 1 | 0% | 951 | 1,071 | +13% | 0 | 0 | — |
case-26 | pass→pass | 31,474 | 15,392 | -51% | 1 | 1 | 0% | 2,535 | 1,908 | -25% | 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. 26 cases were attempted. The headline lift of +77 percentage points is the difference between those two pass rates over the 26 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.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/20/2026 | -7% |
Other measured skills in the registry, with their headline benchmark lift.