According to AlphaMoat, as of 2026-09, Commerce Content Generator has 2,742 downloads and 1 stars — ranked #3,917 of 5,078 AI skills overall, and #258 of 362 in Content.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 62 | 2.4K | - | - |
| SkillHub ↗ | 248 | 2.7K | 1 | — |
Platforms count differently and update at different times.
Generate Xiaohongshu, Douyin, ad, email, or listing drafts from a product brief, evidence, audience, and channel, with claim checks and missing-proof flags. Verify product facts and channel requirements before publishing; do not add unsupported selling points.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.7K | — | 1 |
| 2026-08 | 2.3K | +6.0% | 1 |
| 2026-07 | 2.2K | +11.7% | 1 |
| 2026-06 | 1.9K | +18.5% | 1 |
| 2026-05 | 1.6K | — | - |
| 2026-03 | 1.1K | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- 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." --- # 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:
```bash
node scripts/generate_content_pack.js --input product.json --format markdown
```
The input JSON can include:
```json
{
"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.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.