A high-speed multi-keyword Amazon product scanner that identifies winning FBA opportunities using advanced A10-F1 grading and parallel data processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install launchfast-product-research
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install launchfast-product-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is LaunchFast Product Research?
The LaunchFast Product Research skill is a specialized tool designed for Amazon FBA entrepreneurs who need to validate market opportunities quickly and accurately. By leveraging the LaunchFast MCP, this skill allows users to scan up to 10 product keywords simultaneously, moving away from slow, sequential manual research to a data-driven parallel workflow. This capability is a core feature of the Openclaw Skills ecosystem, enabling developers and sellers to automate complex market analysis.
This skill transforms raw market data into an actionable 0-100 opportunity score, considering factors like monthly revenue, review counts, and price sweet spots. Whether you are looking for new niches or comparing potential products, this Openclaw Skills integration provides objective Go, Investigate, or Pass verdicts to streamline your investment decisions and minimize risk in the competitive Amazon marketplace.
LaunchFast Product Research Use Cases
- Discovering high-potential winning products for Amazon FBA within specific niches.
- Comparing multiple product keywords simultaneously to determine which has the lowest competition.
- Assessing the market viability and revenue potential of specific product ideas before investing.
- Scouting new niches by analyzing parallel keyword performance and market quality grades using Openclaw Skills.
How LaunchFast Product Research Works
- The user provides up to 10 product keywords and optional filters like target price range and minimum monthly revenue.
- The skill executes parallel calls to the LaunchFast research tool for each keyword to gather real-time Amazon market data.
- For every product found, the system extracts critical metrics including LaunchFast A10-F1 grades, revenue estimates, BSR, and review counts.
- An algorithmic opportunity score (0-100) is calculated for each keyword based on market quality, revenue potential, competition levels, and price ranges.
- Results are presented in a ranked summary table followed by a deep-dive analysis of the top three opportunities, providing clear actionable verdicts.
LaunchFast Product Research Setup
Ensure the LaunchFast MCP is correctly installed and configured in your environment. The skill requires the mcp__launchfast__research_products tool to be accessible. To use this within the context of Openclaw Skills, you can trigger the research workflow by providing your target keywords directly to the agent.
# Example of initiating research via the CLI environment
openclaw run launchfast-product-research "silicone spatula" "bamboo cutting board"
LaunchFast Product Research Data Schema & Taxonomy
The skill processes and organizes data based on the following taxonomy to ensure high-quality Openclaw Skills outputs:
| Attribute | Description |
|---|---|
| Grade | LaunchFast A10 to F1 scale (A is best) representing market quality. |
| Opp Score | A 0-100 point scale calculated from revenue, reviews, and pricing. |
| Revenue | Estimated monthly revenue based on BSR and category data. |
| Competition | Classified as Low (<200 reviews), Medium (200-800), or High (>800). |
| Verdict | Actionable advice: GO (65+), INVESTIGATE (40-64), or PASS (<40). |
LaunchFast Product Research Advanced Features
- Parallel Keyword Processing: Researches up to 10 keywords at once to significantly reduce research time compared to manual methods.
- Automated Weighted Scoring: Uses a specialized algorithm to objectively rank niches based on FBA success criteria, a standard for professional Openclaw Skills.
- Strategic Next Steps: Provides direct paths for supplier research on Alibaba, IP/patent checks, and PPC analysis for winning keywords.
- Detailed Grade Distribution: Analyzes the ratio of A-grade to C-grade products to determine if a market is healthy or dominated by low-quality sellers.
SKILL.md
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