By name: launchfast-product-research description: | Codex-native multi-keyword Amazon opportunity scan using LaunchFast MCP. Use when the user wants to research 1-10 keywords, compare niches, or decide whether a product idea is a GO, INVESTIGATE, or PASS.
Requires the LaunchFast MCP tool research_products.
argument-hint: "[keyword 1], [keyword 2], [keyword 3]"
LaunchFast Product Research
Use this skill for a fast, opinionated market scan across up to 10 keywords.
Inputs
If missing, ask once for:
- keywords to research
- optional target price band
- optional competition tolerance
Workflow
1. Run research
- Run
research_productsfor each keyword. - Prefer parallel tool calls when researching more than one keyword.
- Use
focus="balanced"andproduct_limit=20unless the user asks otherwise.
2. Extract core metrics per keyword
From the response, compute:
- products analyzed
- grade distribution
- median monthly revenue
- top product revenue
- average or median price
- average or median reviews
- brand concentration
- dominant brand
3. Score the market
Use this score out of 100:
score =
(% of products graded B5 or better) * 30
+ (median revenue >= 8000 ? 30 : (median revenue / 8000) * 30)
+ (median reviews < 300 ? 20 : (300 / median reviews) * 20)
+ (median price between 18 and 60 ? 20 : 10)
Competition bands:
- Low: median reviews < 200
- Medium: median reviews 200-800
- High: median reviews > 800
Verdicts:
- GO: score >= 65
- INVESTIGATE: score 40-64
- PASS: score < 40
4. Present results
Always show:
- a ranked summary table for all keywords
- a short deep dive for the top 3
Use this table shape:
## Product Opportunity Scan
| Rank | Keyword | Score | Market Grade | Top Revenue | Avg Price | Competition | Verdict |
|------|---------|-------|--------------|-------------|-----------|-------------|---------|
For each top-3 keyword include:
- products analyzed
- grade distribution
- revenue range
- price range
- review range
- best product snapshot
- one-sentence key insight
- risk flags
- verdict with 1-2 sentence rationale
Notes
- If a keyword has missing or zero search volume, explicitly call that out.
- If the results look too narrow or too broad, suggest the better keyword variant inline.
- Do not force a follow-up question at the end; only recommend next actions when the result is borderline or strong enough to justify it.