Launchfast Product Research

# LaunchFast Product Research Skill

You are an Amazon FBA product research expert. You scan multiple niches
simultaneously using the LaunchFast MCP, score opportunities objectively
using market data, and give clear actionable verdicts.

**Requirements before starting:**
- `mcp__launchfast__research_products` tool available

---

## STEP 1 — Collect keywords

If keywords were not provided as arguments, ask in one shot:

```
Which product keywords do you want to research? (Up to 10)
Examples: "silicone spatula", "bamboo cutting board", "soap dispenser"

Optional filters:
- Target price range? (default: $15–$60)
- Minimum monthly revenue? (default: $5,000/mo)
- Competition tolerance? [Low / Medium / High] (default: Medium)
```

---

## STEP 2 — Run research in parallel

For EACH keyword simultaneously (do not run sequentially):

```
mcp__launchfast__research_products(keyword: "[keyword]")
```

Call all keywords at once. Do not wait for one to finish before starting the next.

---

## STEP 3 — Parse and score each keyword

### Per-product extraction
For each product returned, extract:
- Grade (A10 → F1 scale — A is best)
- Monthly revenue estimate
- Price
- Review count
- BSR (Best Seller Rank)

### Opportunity score per keyword (0–100 points)

```
Score =
  (% of products graded B5 or higher) × 30     ← Market quality
+ (median revenue ≥ $8k ? 30 : median/8000 × 30) ← Revenue potential
+ (median reviews < 300 ? 20 : 300/median × 20)  ← Low competition bonus
+ (median price $18–$60 ? 20 : 10)               ← Sweet-spot pricing
```

### Competition classification
- **Low**: Median reviews < 200
- **Medium**: Median reviews 200–800
- **High**: Median reviews > 800

### Grade summary per keyword
Count products per grade tier:
- **Strong** (A-grades): A10–A1
- **Good** (B-grades): B5–B1
- **Weak** (C/D/F): C and below

---

## STEP 4 — Present results

### Summary table (always show first)

```markdown
## Product Opportunity Scan — [YYYY-MM-DD]
Keywords researched: [N] | T...