AD ai-image-prompt
AI 图片提示词优化、高质感提示词写作、高保真参考图融合与 1:1 还原技能。当用户说“ao”、要求根据上传图片生成更精准/更全面/更详细/更有质感的提示词、 严格复刻模特/产品/场景、精确模仿参考图、完全参考上传模特风格、让人物更自然真实、增强人像真实感、修复提示词被平台判定违规/无法生成的问题、指定产品位置与角度、优化产品摄影/人像摄影/电商视觉、 生成电商主图/详情页/九宫格/四视图/模特图、需要轻奢/法式/运动/极简/买手店风品牌语气、 优化 Flux / Nonbana / Nano Banana / Midjourney 提示词，或需要贴身服饰/家居服/男士贴身下装等商业拍摄提示词时触发。
AI 图片提示词优化、高质感提示词写作、高保真参考图融合与 1:1 还原技能。当用户说“ao”、要求根据上传图片生成更精准/更全面/更详细/更有质感的提示词、…
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (ai-image-prompt) differs from the folder (nextory)
- 100Tools and files. No external tools needed
- 100Steps. 222 steps
- 100Execution cost. Instruction body is 2684 tokens
- 100Running it twice. No mutating operations
- low 21 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 304: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 222 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (18 of 25)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.