How do I install the Launchfast Product Research skill?

Run npx skillmds@latest add concertonotes/launchfast-product-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Launchfast Product Research safe to use?

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Which AI agents work with Launchfast Product Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Launchfast Product Research free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Launchfast Product Research?

ConcertoNotes (@concertonotes) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Launchfast Product Research by concertonotes

Name: Launchfast Product Research
Rating: 4.2 (5 reviews)
Author: ConcertoNotes

Launchfast Product Research

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`.

ConcertoNotes Updated Sep 8, 2026 0 repo stars

File contents

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.

---name: launchfast-product-researchdescription: 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`.---# LaunchFast Product ResearchUse this skill for a fast, opinionated market scan across up to 10 keywords.## InputsIf 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 keywordFrom 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 marketUse this score out of 100:```textscore = (% 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 > 800Verdicts:- GO: score >= 65- INVESTIGATE: score 40-64- PASS: score < 40### 4. Present resultsAlways show:- a ranked summary table for all keywords- a short deep dive for the top 3Use this table shape:```markdown## 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.

Frequently asked questions