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launchfast-product-research

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技能内容

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_products for each keyword.
  • Prefer parallel tool calls when researching more than one keyword.
  • Use focus="balanced" and product_limit=20 unless 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.

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它属于哪个仓库

星标★ 1,027
本站分层T1
该仓技能数1910
原文件路径plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-product-research/SKILL.md

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