AD linkpix-kling-3-sales
帮助电商运营、短视频团队、品牌内容团队通过青虎AI完成“可灵 Kling 3.0 电商带货视频”：支持长镜头生成、多图参考、首尾帧控制，具备极强的物理规律遵守能力和角色/商品一致性，无肢体变形。完美适配淘宝主图视频、天猫详情页视频、京东广告片、拼多多展示视频、抖音短视频带货、快手种草、小红书好物分享、TikTok Shop素材、Amazon商品视频、Shopee/Temu广告投放等全电商平台场景。适用于3C数码、服饰、家居、美妆等高要求商品展示，大幅提升转化率。 Use this skill for 可灵Kling3.0电商视频, AI视频生成, 商品展示, 长镜头, 一致性, 淘宝主图视频, 京东视频, 抖音带货, TikTok, Amazon视频, 广告投放, 电商短视频, 种草视频, 信息流广告, AIGC视频生产。通过青虎AI统一接入，支持多素材上传、任务轮询和结果下载。 当用户要求用 可灵 Kling 3.0 电商带货视频 或 可灵 3.0 / Kling 3.0（目录里常见 `可灵3.0 Omni`） 做带货/商品/种草/广告视频时必须触发。关键词：LinkPix、qhkit、青虎、可灵、Kling 3.0、可灵3.0 Omni、电商带货视频、长镜头、一致性、淘宝主图视频、抖音带货、TikTok、Amazon视频。
帮助电商运营、短视频团队、品牌内容团队通过青虎AI完成“可灵 Kling 3.0 电商带货视频”：支持长镜头生成、多图参考、首尾帧控制，具备极强的物理规律遵守能力和角色/商品一致性，无肢体变形。完美适配淘宝主图视频、天猫详情页视频、京东广告片、拼多多展示视频、抖音短视频带货、快手种草、小红书好物分享、TikTok…
As a process D 46/100 · Unfinished process — 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown 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. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1631 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 572: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.