Get a high-level view of an e-commerce market or category — top companies, top products, and pricing landscape.
How this skill is triggered — by the user, by Claude, or both
Slash command
/particl-market-research:market-overviewThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Get a high-level view of an e-commerce market or category — top companies, top products, and pricing landscape.
Get a high-level view of an e-commerce market or category — top companies, top products, and pricing landscape.
When the user wants to understand a market or product category at a high level, not a specific company.
Discover categories using get_product_types (FREE) to find the right product_type filter value.
parent_product_type_idproduct_type_id from the result as the product_type filter in other toolsGet top companies using get_market_top_companies. Costs 1 credit per company returned.
product_type to focus on a categorykeyword for market segments (e.g., 'sustainable', 'luxury')end_date to analyze a specific point in timeGet top products using get_market_top_products. Costs 1 credit per product returned.
Get pricing analysis using get_market_pricing_analysis. Costs 1 fixed credit.
Present findings with:
get_product_types to find the exact category before running market toolsproduct_type and keyword filters across all calls for consistent dataget_market_pricing_analysis is the cheapest call (1 fixed credit) — good starting pointoverall_total_sales_revenue from get_market_top_companies gives market size contextend_date values to see trends over timenpx claudepluginhub particlhq/claude-plugins --plugin particl-market-researchResearches competitor pricing from a product URL, fetches pricing pages, extracts tiers and prices, and returns a report with benchmarks, feature gate analysis, and pricing strategy recommendations.
Researches markets via interactive questioning on scope, then deploys parallel agents for trend analysis, consumer insights, competitive landscape, size estimates (TAM/SAM/SOM), and go/no-go recommendations.
Scans competitive landscapes for products/markets, mapping 5-8 competitors' positioning, strengths/weaknesses, pricing, gaps, and opportunities via web research.