Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Set up a note-taking system that you'll actually use and that makes your notes findable and useful later — not a graveyard of notes you never reopen. Use when asked help me take better notes, set up a note system, my notes are a mess, or how should I organize my notes. Produces a system matched to your actual need (capture, study, or thinking), a simple capture-and-organize flow, a findability method (tags/links/structure), the review habit that keeps notes alive, and a warning against over-engi
.claude/skills/mohitagw15856-note-taking-system/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 25% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 45% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -4% | 0% |
Most note systems die two ways: notes are captured and never reopened (a graveyard), or the person spends more time building the perfect system than taking notes. A good system is simple, matches what you actually use notes for, and makes past notes findable when you need them. This sets one up that fits your need — and warns you off the productivity-porn trap of endlessly tweaking it.
Ask for these if not provided:
Your need: reference / study / thinking] → so the system should fit]. Capture: one fast inbox/point — frictionless]. Organize: light structure — folders/tags/links, minimal]. Find it later: the findability method — usually search + a little structure]. Review: the light habit that keeps it alive]. Don't: over-engineer it — use it, refine only when it genuinely hurts.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 22,810 | 16,891 | -26% | 1 | 1 | 0% | 2,695 | 2,892 | +7% | 0 | 0 | — |
case-02 | fail→fail | 27,253 | 18,233 | -33% | 1 | 1 | 0% | 2,841 | 2,982 | +5% | 0 | 0 | — |
case-03 | fail→fail | 28,477 | 21,299 | -25% | 1 | 1 | 0% | 3,263 | 2,992 | -8% | 0 | 0 | — |
case-04 | pass→pass | 19,561 | 30,141 | +54% | 1 | 1 | 0% | 2,652 | 4,312 | +63% | 0 | 0 | — |
case-05 | pass→fail | 16,475 | 22,755 | +38% | 1 | 1 | 0% | 2,175 | 3,764 | +73% | 0 | 0 | — |
case-06 | pass→fail | 31,600 | 20,001 | -37% | 1 | 1 | 0% | 3,276 | 3,312 | +1% | 0 | 0 | — |
case-07 | fail→pass | 23,368 | 17,151 | -27% | 1 | 1 | 0% | 2,453 | 2,677 | +9% | 0 | 0 | — |
case-08 | fail→pass | 22,927 | 18,193 | -21% | 1 | 1 | 0% | 2,025 | 2,536 | +25% | 0 | 0 | — |
case-09 | fail→fail | 22,924 | 18,417 | -20% | 1 | 1 | 0% | 2,636 | 2,889 | +10% | 0 | 0 | — |
case-10 | fail→pass | 16,072 | 18,295 | +14% | 1 | 1 | 0% | 1,761 | 2,552 | +45% | 0 | 0 | — |
case-11 | fail→pass | 17,495 | 15,397 | -12% | 1 | 1 | 0% | 1,581 | 2,322 | +47% | 0 | 0 | — |
case-12 | fail→fail | 26,046 | 52,139 | +100% | 1 | 1 | 0% | 2,869 | 2,689 | -6% | 0 | 0 | — |
case-13 | fail→pass | 24,578 | 28,268 | +15% | 1 | 1 | 0% | 2,658 | 2,542 | -4% | 0 | 0 | — |
case-14 | fail→fail | 43,189 | 14,946 | -65% | 1 | 1 | 0% | 2,402 | 2,817 | +17% | 0 | 0 | — |
case-15 | fail→pass | 18,937 | 18,693 | -1% | 1 | 1 | 0% | 2,181 | 2,515 | +15% | 0 | 0 | — |
case-16 | fail→pass | 16,779 | 26,353 | +57% | 1 | 1 | 0% | 2,302 | 2,682 | +17% | 0 | 0 | — |
case-17 | fail→pass | 36,762 | 16,022 | -56% | 1 | 1 | 0% | 2,270 | 2,595 | +14% | 0 | 0 | — |
case-18 | fail→pass | 21,028 | 20,250 | -4% | 1 | 1 | 0% | 2,122 | 2,622 | +24% | 0 | 0 | — |
case-19 | fail→pass | 23,108 | 13,737 | -41% | 1 | 1 | 0% | 2,896 | 2,991 | +3% | 0 | 0 | — |
case-20 | fail→pass | 30,724 | 14,884 | -52% | 1 | 1 | 0% | 2,563 | 2,293 | -11% | 0 | 0 | — |
case-21 | fail→fail | 21,424 | 23,439 | +9% | 1 | 1 | 0% | 1,995 | 2,490 | +25% | 0 | 0 | — |
case-22 | fail→fail | 24,275 | 17,299 | -29% | 1 | 1 | 0% | 2,515 | 2,547 | +1% | 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 +41 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.