Commerce Content Generator

👤 harrylabsj 📦 v1.2.0 ⭐ 4.6 ⬇️ 2.2K 下載
✍️ 內容創作 免費

📖 技能介紹

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 待補充證據.
  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

The input JSON can include:

{
  "name": "HydraGlow Cream",
  "category": "美妝",
  "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.

    更多技能請訪問小蔥技能站7w4.net。

Do not claim guaranteed outcomes, medical effects, investment returns, legal compliance, official endorsement, scarcity, or comparative superiority unless the user supplied reliable evidence.

🤖 AI 評測

這個 Skill 質量不錯,核心優勢是支援多個國內主流平臺的內容批次生成,而且生成內容時會主動核查證據、不瞎編承諾,對醫療、絕對化等高風險表述有識別和預警機制,很靠譜。測試用例完善,執行穩定。不過 UI 互動體驗可以更友好,首次使用需要一定的學習成本。總體適合需要批次生產電商文案的營銷人員或商家。

📊 多維度評分

適應性4.7
規範性4.5
有效性4.8
可靠性4.2
可信度5

📁 包含檔案 (11 個)

📄 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