swcstudiospace/ai-agency/product-scoring
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- community
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Checking that the SKILL.md file is still in the repository.
Score dropshipping product opportunities on margin, competition, risk, and differentiation.
Install
npx vskill@latest install swcstudiospace/ai-agency/product-scoringSKILL.md
Product Scoring
When to use
Before recommending any new SKU or scaling an existing one.
Process
- Gather evidence with Parallel Search (objective + 2–3 queries) and Extract on top PDPs/reviews.
- Estimate: COGS, shipping, sell price, expected CPA, return rate.
- Run
contribution_margintool (or equivalent math). - Score each dimension 1–5:
| Dimension | 1 (bad) | 5 (great) | |
|---|---|---|---|
| Contribution margin after ads | <10% or negative | ≥35% at target CPA | |
| Competition intensity | Dominated by brands with huge creative volume | Clear angle / underserved avatar | |
| Shipping risk | >25 days unreliable tracking | ≤12 days reliable | |
| Return / defect risk | Wearables fit, complex electronics | Simple durable goods | |
| Differentiation | Commodity clone | Bundle, brand story, unique proof | |
| Seasonality | Extreme short window only | Evergreen or multi-peak |
- Composite: weight CM 30%, competition 20%, shipping 15%, returns 15%, differentiation 15%, seasonality 5%.
- Output: GO / TEST / NO-GO with evidence URLs and next experiment.
Hard rules
- No GO if CM after target ads is negative.
- No GO on restricted categories without Compliance PASS.
- Always propose a smallest viable test (budget + creative count + kill criteria).
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/agency/product-scoring/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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