Commerce Content Generator

👤 harrylabsj 📦 v1.2.0 ⭐ 4.6 ⬇️ 2.2K 下载
✍️ 内容创作 免费

📖 技能介绍

Content Generator

Create platform-ready commerce content without inventing unsupported claims.

Workflow

  1. Capture the product brief:
    • product name, category, price or price range
    • target audience and use scenario
    • benefits, differentiators, proof points, limitations
    • platform, tone, length, conversion goal
    • forbidden claims or regulated categories
  2. If the brief is thin, ask for the missing business-critical facts. If the user wants speed, continue with explicit assumptions and mark 待补充证据.
  3. Select the right output pack:
    • Xiaohongshu: personal discovery note, practical list, comparison note
    • Douyin: short-video hook, spoken script, captions, CTA
    • Live selling: opening, demo flow, objections, close
    • Moments: concise social recommendation
    • Zhihu: rational evaluation and purchase advice
    • Marketplace: title, bullets, detail-page sections
    • Ads: A/B angle variants and CTA options
  4. Draft using only user-provided facts or clearly labeled assumptions.
  5. Run a quality pass before final output: evidence, platform fit, claim safety, specificity, and next data needed.

Deterministic Pack Generator

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

7w4.net收录了海量优质技能插件。

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.

Output Contract

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.

🤖 AI 评测

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。

📊 多维度评分

适应性4.7
规范性4.5
有效性4.8
可靠性4.2
可信度5

📁 包含文件 (11 个)

📄 SKILL.md 2.8 KB
📄 _meta.json 136 B
📄 agents/openai.yaml 196 B
📄 clawhub.json 810 B
📄 index.js 703 B
📄 package.json 956 B
📄 references/platform-playbook.md 2.1 KB
📄 references/quality-checklist.md 1.3 KB
📄 scripts/generate_content_pack.js 16 KB
📄 test/fixtures/skincare.json 685 B
📄 test/generate_content_pack.test.js 2.4 KB