Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatt...
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Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillAgent success when using this skill
Validation for skill structure
HTML brand colors and typography
Dark color exact hex
0%
100%
Light color exact hex
0%
100%
Mid-gray exact hex
0%
100%
Light-gray exact hex
0%
100%
Orange accent exact hex
0%
100%
Blue accent exact hex
0%
100%
Green accent exact hex
0%
100%
Poppins for headings
0%
100%
Lora for body text
0%
100%
Arial heading fallback
0%
100%
Georgia body fallback
0%
100%
Smart color contrast
100%
100%
Without context: $0.2710 · 1m 23s · 8 turns · 57 in / 5,594 out tokens
With context: $0.4619 · 1m 59s · 18 turns · 272 in / 7,494 out tokens
python-pptx branded presentation
python-pptx import
100%
100%
RGBColor class used
100%
100%
Dark color correct
0%
100%
Light color correct
0%
100%
Orange accent correct
0%
100%
Blue accent correct
0%
100%
Green accent correct
0%
100%
Accent cycling on shapes
0%
100%
Heading font Poppins
25%
100%
Body font Lora
0%
100%
Script runs without error
100%
100%
Without context: $0.2950 · 1m 10s · 14 turns · 14 in / 4,354 out tokens
With context: $0.4627 · 1m 52s · 21 turns · 22 in / 5,720 out tokens
matplotlib chart brand accent cycling
Orange for first series
100%
100%
Blue for second series
0%
100%
Green for third series
0%
100%
Brand background color
0%
100%
Smart text contrast
50%
100%
Poppins or Arial for title
0%
100%
Lora or Georgia for labels
0%
100%
Script produces output
100%
100%
Accent order matches brand
50%
100%
Without context: $0.2509 · 1m 5s · 14 turns · 63 in / 3,050 out tokens
With context: $0.3706 · 1m 28s · 16 turns · 319 in / 4,878 out tokens
Table of Contents
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