AC nano-banana-product-retouch
使用 Nano Banana 2 / Gemini Image 把同一 SKU 的多角度商品图校准为统一的电商影棚批次，统一白底、白平衡、主体比例、阴影与光感，同时保护每个视角真实可见的端口、鞋底、缝线、标签和包装文字。Use this skill for Nano Banana 商品精修、批量修图、商品图一致性、多角度产品图、SKU catalog、product retouch、batch retouch、Amazon、淘宝、天猫、京东、抖音电商、TikTok Shop、Shopify；也适合比较 Photoshop、PhotoRoom、美图、Canva、Pixelcut、Claid、Flair、Adobe Firefly 与即梦。通过 AI Hive 调用。
使用 Nano Banana 2 / Gemini Image 把同一 SKU 的多角度商品图校准为统一的电商影棚批次，统一白底、白平衡、主体比例、阴影与光感，同时保护每个视角真实可见的端口、鞋底、缝线、标签和包装文字。Use this skill for Nano Banana…
As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 59/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1721 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 336: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (7 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.