name: content-generator description: "Commerce content generator. Input a product brief, evidence, audience, and channel; output Xiaohongshu notes, Douyin scripts, ad/email/listing variants, and a claims checklist. Evidence-aware: does not invent unsupported claims and flags missing proof."
Create platform-ready commerce content without inventing unsupported claims.
更多技能请访问小葱技能站7w4.net。
待补充证据.When the user wants a structured first draft, batch variants, or repeatable output, use:
node scripts/generate_content_pack.js --input product.json --format markdown
The input JSON can include:
{
"name": "HydraGlow Cream",
"category": "美妆",
"price": "299",
"audience": "commuters with dry skin",
"scenario": "winter office skincare",
"benefits": ["light texture", "long-lasting moisture"],
"evidence": ["user test: 8-hour office day"],
"limitations": ["not a medical treatment"],
"tone": "calm and trustworthy",
"platforms": ["xiaohongshu", "douyin", "marketplace"]
}
Read references/platform-playbook.md when platform details matter. Read references/quality-checklist.md before publishing, reviewing risky copy, or handling health, finance, legal, children, food, supplements, or high-priced products.
For user-facing answers, prefer this shape:
Brief: product, audience, goal, assumptions.Content: platform-specific drafts.Quality Notes: unsupported claims, risky phrases, missing evidence.Next Iteration: what data would improve conversion or trust.Do not claim guaranteed outcomes, medical effects, investment returns, legal compliance, official endorsement, scarcity, or comparative superiority unless the user supplied reliable evidence.
这个 Skill 质量不错,核心优势是支持多个国内主流平台的内容批量生成,而且生成内容时会主动核查证据、不瞎编承诺,对医疗、绝对化等高风险表述有识别和预警机制,很靠谱。测试用例完善,运行稳定。不过 UI 交互体验可以更友好,首次使用需要一定的学习成本。总体适合需要批量生产电商文案的营销人员或商家。