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Get Started Free →Use when auditing slow page loads, heavy assets, or rendering delays related to Enable text-based compression. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
.claude/skills/thedaviddias-compression/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-12 | ✓→✗ | ▼ Worse | 5% | 0% |
| case-17 | ✓→✓ | ＝ Same ✓ | -16% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | -8% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | -19% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 5% | 0% |
Compressed assets download faster, reducing the time to first paint and improving the overall perceived performance, especially on slower mobile networks.
Verify that text-based resources are served with Content-Encoding: gzip or br headers.
Enable Gzip or Brotli compression in your web server (Nginx, Apache) or CDN settings.
Explain how text-based compression works and its impact on asset delivery speed.
Review the routes, assets, and loading behavior that affect Enable text-based compression. Flag exact files, requests, or rendering steps that add unnecessary network, CPU, or layout cost, and describe the measurement method used to confirm the issue.
For full implementation details, code examples, and framework-specific guidance, see references/rule.md.
Rule page: https://frontendchecklist.io/en/rules/performance/compression
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-17 | pass→pass | 15,690 | 10,401 | -34% | 1 | 1 | 0% | 2,737 | 2,291 | -16% | 0 | 0 | — |
case-01 | pass→pass | 9,874 | 7,245 | -27% | 1 | 1 | 0% | 1,813 | 1,659 | -8% | 0 | 0 | — |
case-02 | pass→pass | 10,689 | 7,297 | -32% | 1 | 1 | 0% | 2,078 | 1,682 | -19% | 0 | 0 | — |
case-03 | pass→pass | 10,178 | 8,044 | -21% | 1 | 1 | 0% | 1,923 | 2,019 | +5% | 0 | 0 | — |
case-04 | pass→pass | 1,902 | 2,173 | +14% | 1 | 1 | 0% | 363 | 707 | +95% | 0 | 0 | — |
case-05 | pass→pass | 1,791 | 1,405 | -22% | 1 | 1 | 0% | 336 | 518 | +54% | 0 | 0 | — |
case-06 | pass→pass | 9,419 | 6,684 | -29% | 1 | 1 | 0% | 1,976 | 1,640 | -17% | 0 | 0 | — |
case-07 | pass→pass | 9,906 | 7,578 | -24% | 1 | 1 | 0% | 2,161 | 1,878 | -13% | 0 | 0 | — |
case-08 | pass→pass | 7,511 | 6,847 | -9% | 1 | 1 | 0% | 1,760 | 1,931 | +10% | 0 | 0 | — |
case-09 | pass→pass | 8,614 | 6,741 | -22% | 1 | 1 | 0% | 1,621 | 1,651 | +2% | 0 | 0 | — |
case-10 | pass→pass | 14,760 | 12,017 | -19% | 1 | 1 | 0% | 2,888 | 2,584 | -11% | 0 | 0 | — |
case-11 | pass→pass | 10,075 | 6,550 | -35% | 1 | 1 | 0% | 2,047 | 1,467 | -28% | 0 | 0 | — |
case-12 | pass→fail | 14,764 | 14,353 | -3% | 1 | 1 | 0% | 2,729 | 2,854 | +5% | 0 | 0 | — |
case-13 | pass→pass | 12,919 | 10,169 | -21% | 1 | 1 | 0% | 2,205 | 2,079 | -6% | 0 | 0 | — |
case-14 | pass→pass | 9,524 | 8,800 | -8% | 1 | 1 | 0% | 1,770 | 1,775 | +0% | 0 | 0 | — |
case-15 | pass→pass | 12,311 | 10,936 | -11% | 1 | 1 | 0% | 2,191 | 2,195 | +0% | 0 | 0 | — |
case-16 | pass→pass | 5,609 | 4,029 | -28% | 1 | 1 | 0% | 1,027 | 1,046 | +2% | 0 | 0 | — |
case-18 | pass→pass | 8,697 | 4,444 | -49% | 1 | 1 | 0% | 1,809 | 1,156 | -36% | 0 | 0 | — |
case-19 | pass→pass | 10,821 | 7,342 | -32% | 1 | 1 | 0% | 1,763 | 1,467 | -17% | 0 | 0 | — |
case-20 | pass→pass | 9,266 | 9,063 | -2% | 1 | 1 | 0% | 2,060 | 2,259 | +10% | 0 | 0 | — |
case-21 | pass→pass | 12,388 | 8,721 | -30% | 1 | 1 | 0% | 2,330 | 1,959 | -16% | 0 | 0 | — |
case-22 | pass→pass | 10,509 | 11,057 | +5% | 1 | 1 | 0% | 2,184 | 2,888 | +32% | 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 -100 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.
Other measured skills in the registry, with their headline benchmark lift.