product-research_skill

This skill identifies winning e-commerce product opportunities by linking social momentum, regional demand, and market signals to deployment-ready listings.
  • Python

2.6k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill product-research

  • _meta.json283 B
  • SKILL.md7.3 KB

Overview

This skill identifies e-commerce product opportunities by correlating social hype signals with regional demand proxies, marketplace competition data, and supplier sourcing checks, then prepares deployment-ready store listings. It orchestrates multiple connectors to produce shortlisted trend candidates, sourcing options, market gates, a store draft, and a matched TikTok ad script. It is a scouting and handoff tool — not a profitability guarantee.

How this skill works

It runs a trend scan using tavily-search to collect recent viral mentions and supplier listings, scores candidates by social evidence and recency, then uses goplaces to check regional demand proxies. If available, api-gateway is queried for marketplace analytics and to create a WooCommerce draft; missing gateway capabilities trigger explicit DataGate responses and fallback behavior. The skill outputs structured artifacts for review and an exact next-actions list for deployment and testing.

When to use it

  • Scouting dropshipping or white-label product ideas from short-form social platforms
  • Validating geographic interest before committing inventory or ad spend
  • Preparing a deployment-ready WooCommerce product draft and ad creative
  • Handing off prioritized product opportunities to a fulfillment or marketing team
  • Running a systematic pre-launch gate check when marketplace connectors may be missing

Best practices

  • Provide explicit inputs first (niche, region, store, risk, COGS, margin, shipping limit, ad angle)
  • Ensure API keys (TAVILY_API_KEY, GOOGLE_PLACES_API_KEY, MATON_API_KEY) are available before full runs
  • Treat DataGateStatus outputs as mandatory stop points for marketplace analytics
  • Prefer WooCommerce for automated drafts; have manual import templates ready for Shopify fallback
  • Review supplier risk notes before approving any single-source supplier

Example use cases

  • Find viral pet accessory candidates in Germany, check regional demand in Berlin vs. Munich, and produce a WooCommerce draft
  • Scan last-7-day TikTok trends in beauty, shortlist products with 2+ independent sources, and generate a UGC-focused ad script
  • Prioritize low-risk items under specified max_cogs and shipping_time_limit_days for a quick test launch
  • Run a competition gate check; if Helium 10/Jungle Scout paths are unavailable, receive explicit remediation steps and continue with proxy data

FAQ

The skill returns MissingAPIKeys with the specific missing variables, blocks stages that depend on them, and continues non-blocked stages as Partial output.

Can this directly publish to Shopify?

Shopify is inspected but currently under maintenance; deployment will be blocked and the skill will provide a WooCommerce or manual import fallback.

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