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Get Started Free →Create animated GIFs optimized for Slack with validators for size constraints and composable animation primitives.
.claude/skills/nexu-io-slack-gif-creator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 80% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 12% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 63% | 0% |
| case-20 | ✓→✗ | ▼ Worse | -38% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 1% | 0% |
> Curated from Anthropic's official skills repository.
Create animated GIFs optimized for Slack with validators for size constraints and composable animation primitives.
image-generationThis catalogue entry advertises the skill in OpenDesign so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the upstream bundle into your active agent's skills directory:
bash# Inspect the upstream README for exact paths open https://github.com/anthropics/skills/tree/main/skills/slack-gif-creator
Then ask the agent to invoke this skill by name (slack-gif-creator) or with one of the trigger phrases listed in this skill's frontmatter.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | pass→pass | 11,182 | 12,094 | +8% | 1 | 1 | 0% | 1,868 | 1,881 | +1% | 0 | 0 | — |
case-13 | fail→fail | 15,122 | 13,334 | -12% | 1 | 1 | 0% | 2,322 | 2,433 | +5% | 0 | 0 | — |
case-01 | fail→fail | 30,657 | 8,362 | -73% | 1 | 1 | 0% | 5,972 | 396 | -93% | 0 | 0 | — |
case-02 | fail→pass | 3,411 | 4,809 | +41% | 1 | 1 | 0% | 564 | 1,016 | +80% | 0 | 0 | — |
case-04 | fail→pass | 12,545 | 4,251 | -66% | 1 | 1 | 0% | 768 | 857 | +12% | 0 | 0 | — |
case-05 | pass→pass | 8,203 | 5,037 | -39% | 1 | 1 | 0% | 1,502 | 1,053 | -30% | 0 | 0 | — |
case-06 | fail→fail | 13,869 | 15,646 | +13% | 1 | 1 | 0% | 2,175 | 2,595 | +19% | 0 | 0 | — |
case-07 | pass→pass | 14,304 | 11,685 | -18% | 1 | 1 | 0% | 2,656 | 2,369 | -11% | 0 | 0 | — |
case-08 | fail→fail | 42,822 | 42,666 | -0% | 1 | 1 | 0% | 8,222 | 8,434 | +3% | 0 | 0 | — |
case-09 | pass→pass | 11,242 | 7,879 | -30% | 1 | 1 | 0% | 2,212 | 1,706 | -23% | 0 | 0 | — |
case-10 | pass→pass | 15,368 | 13,940 | -9% | 1 | 1 | 0% | 2,765 | 2,882 | +4% | 0 | 0 | — |
case-11 | pass→pass | 13,037 | 12,106 | -7% | 1 | 1 | 0% | 2,079 | 2,136 | +3% | 0 | 0 | — |
case-12 | pass→pass | 11,366 | 4,491 | -60% | 1 | 1 | 0% | 1,905 | 952 | -50% | 0 | 0 | — |
case-14 | pass→pass | 12,858 | 12,442 | -3% | 1 | 1 | 0% | 2,027 | 2,113 | +4% | 0 | 0 | — |
case-15 | pass→pass | 9,376 | 8,295 | -12% | 1 | 1 | 0% | 1,568 | 1,671 | +7% | 0 | 0 | — |
case-16 | pass→pass | 15,303 | 13,500 | -12% | 1 | 1 | 0% | 3,307 | 3,128 | -5% | 0 | 0 | — |
case-17 | fail→fail | 12,965 | 7,404 | -43% | 1 | 1 | 0% | 2,092 | 1,333 | -36% | 0 | 0 | — |
case-18 | pass→pass | 8,021 | 5,660 | -29% | 1 | 1 | 0% | 1,483 | 1,360 | -8% | 0 | 0 | — |
case-19 | pass→pass | 9,966 | 7,903 | -21% | 1 | 1 | 0% | 1,955 | 1,845 | -6% | 0 | 0 | — |
case-20 | pass→fail | 12,725 | 6,199 | -51% | 1 | 1 | 0% | 1,889 | 1,171 | -38% | 0 | 0 | — |
case-21 | fail→pass | 16,462 | 7,048 | -57% | 1 | 1 | 0% | 836 | 1,361 | +63% | 0 | 0 | — |
case-22 | pass→pass | 14,637 | 8,989 | -39% | 1 | 1 | 0% | 2,663 | 1,818 | -32% | 0 | 0 | — |
case-23 | pass→pass | 11,641 | 10,076 | -13% | 1 | 1 | 0% | 2,282 | 2,341 | +3% | 0 | 0 | — |
case-24 | pass→pass | 24,036 | 17,326 | -28% | 1 | 1 | 0% | 4,006 | 2,909 | -27% | 0 | 0 | — |
case-25 | pass→pass | 13,686 | 9,758 | -29% | 1 | 1 | 0% | 2,171 | 1,766 | -19% | 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. 25 cases were attempted, and 22 counted toward the lift figure. The other 3 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +8 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.