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Get Started Free →FigJam plugin development workflow. Use when modifying code.ts (canvas rendering), ui.ts (WebSocket/UI), fixing plugin build errors, or adding new rendering features.
.claude/skills/aiskillstore-figjam-plugin/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | -51% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -65% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -69% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -48% | 0% |
| case-17 | ✗→✓ | ▲ Improved | -44% | 0% |
| Thread | File | APIs | Role | |--------|------|------|------| | Main | code.ts | figma.* only | Canvas rendering | | UI | ui.ts | Browser APIs | WebSocket client, connection UI |
Critical: code.ts has NO browser APIs (window, document, fetch, WebSocket).
CLI ←─ WebSocket ─→ ui.ts ←─ postMessage ─→ code.ts ←─ figma.* ─→ Canvasbashcd packages/plugin && bun run build
Import: Figma Desktop → Plugins → Development → Import from manifest → packages/plugin/manifest.json
@figram/core, normalizes to IR| File | Purpose | |------|---------| | manifest.json | Plugin config | | src/code.ts | Canvas rendering | | src/ui.ts | WebSocket + UI | | src/icons/ | Service icons |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 14,443 | 10,211 | -29% | 1 | 1 | 0% | 2,487 | 2,285 | -8% | 0 | 0 | — |
case-02 | fail→pass | 9,891 | 3,800 | -62% | 1 | 1 | 0% | 1,758 | 867 | -51% | 0 | 0 | — |
case-03 | pass→pass | 10,254 | 5,238 | -49% | 1 | 1 | 0% | 1,764 | 1,161 | -34% | 0 | 0 | — |
case-04 | pass→pass | 10,332 | 3,094 | -70% | 1 | 1 | 0% | 1,686 | 794 | -53% | 0 | 0 | — |
case-05 | pass→pass | 11,069 | 4,210 | -62% | 1 | 1 | 0% | 1,734 | 931 | -46% | 0 | 0 | — |
case-11 | pass→pass | 6,840 | 2,316 | -66% | 1 | 1 | 0% | 1,166 | 651 | -44% | 0 | 0 | — |
case-06 | pass→pass | 17,426 | 8,085 | -54% | 1 | 1 | 0% | 2,792 | 1,760 | -37% | 0 | 0 | — |
case-07 | pass→pass | 14,026 | 1,992 | -86% | 1 | 1 | 0% | 2,064 | 628 | -70% | 0 | 0 | — |
case-08 | fail→pass | 9,678 | 8,372 | -13% | 1 | 1 | 0% | 1,594 | 564 | -65% | 0 | 0 | — |
case-09 | pass→pass | 8,372 | 3,739 | -55% | 1 | 1 | 0% | 1,280 | 870 | -32% | 0 | 0 | — |
case-10 | pass→pass | 11,468 | 2,653 | -77% | 1 | 1 | 0% | 1,830 | 683 | -63% | 0 | 0 | — |
case-12 | fail→pass | 11,215 | 1,853 | -83% | 1 | 1 | 0% | 1,859 | 569 | -69% | 0 | 0 | — |
case-13 | pass→pass | 9,576 | 5,756 | -40% | 1 | 1 | 0% | 1,692 | 1,276 | -25% | 0 | 0 | — |
case-14 | pass→pass | 3,392 | 2,109 | -38% | 1 | 1 | 0% | 504 | 627 | +24% | 0 | 0 | — |
case-15 | fail→pass | 6,138 | 1,775 | -71% | 1 | 1 | 0% | 949 | 490 | -48% | 0 | 0 | — |
case-21 | pass→pass | 11,208 | 9,206 | -18% | 1 | 1 | 0% | 2,060 | 1,999 | -3% | 0 | 0 | — |
case-16 | pass→pass | 13,215 | 3,605 | -73% | 1 | 1 | 0% | 2,014 | 838 | -58% | 0 | 0 | — |
case-17 | fail→pass | 5,210 | 1,938 | -63% | 1 | 1 | 0% | 871 | 487 | -44% | 0 | 0 | — |
case-18 | pass→pass | 9,584 | 2,213 | -77% | 1 | 1 | 0% | 1,521 | 664 | -56% | 0 | 0 | — |
case-19 | pass→pass | 16,259 | 8,192 | -50% | 1 | 1 | 0% | 2,820 | 1,751 | -38% | 0 | 0 | — |
case-20 | pass→pass | 13,965 | 10,662 | -24% | 1 | 1 | 0% | 2,671 | 2,268 | -15% | 0 | 0 | — |
case-22 | pass→pass | 15,601 | 14,774 | -5% | 1 | 1 | 0% | 2,798 | 2,884 | +3% | 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 +23 percentage points is the difference between those two pass rates over the 22 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.