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Nano Banana 2 电商爆款素材定制。帮助电商运营、广告设计师和卖家通过青虎AI完成“Nano Banana 2 电商爆款素材定制”:快速实现高质量图生图与精准可控的图片编辑,在日常电商运营中快速迭代出高点击率的主图素材。适用于淘宝直通车图、天猫钻展图、京东商品白底图优化、拼多多首页轮播图、1688主图水印处理、Amazon PPC广告图制作、TikTok Shop短视频封面优化等,以及日常的商品换背景、抠图去水印、文字替换、多角度合成等高频修图场景,大幅降低电商美工成本。Use this skill for Nano Banana 2 电商爆款素材定制 当用户要求用 Nano Banana 2 电商爆款素材生成、专图模型(对外常称 Nano Banana 2 / Nano Banana 2 Pro) 做电商图/主图/海报/文生图/图生图时必须触发。关键词:LinkPix、qhkit、青虎、Nano Banana 2、Nano Banana、香蕉模型、专图模型、专图模式、电商爆款素材、直通车、钻展、PPC广告图、图生图、换背景、去水印、文字替换、多角度合成。

ClawHub Agent Skills author: AutoAGC v0.1.1 MIT-0 2 files body ≈ 1 565 tokens Open the sourceclawhub.ai analyzed 3 d ago

Nano Banana 2 电商爆款素材定制。帮助电商运营、广告设计师和卖家通过青虎AI完成“Nano Banana 2…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 46/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
    • 100Steps. 29 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1565 tokens
    • 100Running it twice. No mutating operations

    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 490: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    The skill is for image generation, but it asks users to share an API key in chat and can install or upgrade unpinned command-line tools globally, so it needs review before use.
    LLM: suspicious (high) · 8 Sept 2026