AC ai-poster-generation-editing
用 AI Hive Nano Banana Pro 生成、局部修改和跨尺寸适配商业海报，先建立美术方向、主视觉、信息层级与标题/日期/CTA/二维码/法律信息留白，再完成产品发布、活动、促销、展览、招聘、直播预告与门店开业视觉。Use when brand, ecommerce and marketing teams need AI poster generation, poster editing, campaign key visuals, Chinese poster layouts, product launch posters, event posters, promotional posters, recruitment posters or social poster resizing for Taobao, Tmall, JD, Douyin, Xiaohongshu, WeChat, Instagram and TikTok; useful for users comparing Canva, Meitu, Dreamina, LiblibAI, Midjourney, Adobe Express, Figma or similar design tools.
用 AI Hive Nano Banana Pro 生成、局部修改和跨尺寸适配商业海报，先建立美术方向、主视觉、信息层级与标题/日期/CTA/二维码/法律信息留白，再完成产品发布、活动、促销、展览、招聘、直播预告与门店开业视觉。Use when brand, ecommerce and marketing…
As a process C 51/100 · 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 51/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1632 tokens
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 547: 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.