Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).
Install with Tessl CLI
npx tessl i github:qsimeon/openclaw-engaging --skill nano-banana-pro74
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/skillEvaluation — 94%
↑ 7.23xAgent success when using this skill
Validation for skill structure
Batch image generation with correct script invocation and filename conventions
Uses uv run
0%
100%
References generate_image.py
0%
100%
--prompt flag used
0%
100%
--filename flag used
0%
100%
--resolution flag present
0%
100%
Valid resolution value
0%
100%
Generates 3+ images
100%
100%
Date in filename
0%
100%
Time in filename
0%
100%
Does not read output
100%
100%
Without context: $0.3793 · 1m 54s · 22 turns · 27 in / 6,578 out tokens
With context: $0.8861 · 2m 58s · 41 turns · 2,617 in / 10,034 out tokens
Single image editing with input flag and timestamped output
Uses uv run
0%
100%
References generate_image.py
0%
100%
Uses -i flag
0%
100%
Correct input path
0%
100%
3 distinct styled versions
100%
100%
--resolution flag used
0%
0%
--prompt flag used
0%
100%
Date in filename
0%
100%
Time in filename
0%
100%
Does not read output
100%
100%
Without context: $0.3247 · 1m 36s · 17 turns · 151 in / 5,499 out tokens
With context: $0.3594 · 1m 18s · 19 turns · 20 in / 4,564 out tokens
Multi-image composition with input limit enforcement
Uses uv run
0%
100%
References generate_image.py
0%
100%
Multiple -i flags
0%
100%
All 5 source images used
0%
100%
14-image limit enforced
33%
100%
--prompt flag used
0%
100%
--filename flag used
0%
100%
--resolution flag used
0%
0%
Date in filename
0%
100%
Time in filename
0%
100%
Without context: $1.0092 · 4m 42s · 46 turns · 104 in / 16,921 out tokens
With context: $0.8161 · 2m 45s · 35 turns · 472 in / 9,856 out tokens
Table of Contents
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