Skill: leooooooow/price-intel (version 1.0.0)

--- name: price-intel description: Monitor and analyze competitor pricing movements, discount patterns, and bundle strategies to inform your own pricing decisions without a race to the bottom. --- # Price Intel Pricing decisions made in a vacuum — without visibility into what competitors are doing — almost always end in two failure modes: you leave money on the table by underpricing, or you trigger a discount war that compresses margins across the whole category. Price Intel gives TikTok Shop sellers, Amazon merchants, and multi-channel ecommerce operators a structured framework for monitoring competitor pricing movements, decoding their discount patterns and promotional calendars, and identifying bundle or value-add strategies that let you compete on perceived value rather than raw price. The goal is smarter positioning, not a race to the bottom. ## Use when - You sell in a TikTok Shop category (beauty, health, home, accessories) where competitors have recently dropped prices by 15% or more and you want to understand whether this is a temporary promotional tactic, a cost restructuring signal, or a permanent repositioning before deciding how to respond. - You are planning a flash sale or big platform event (like a 9.9, 11.11, or Black Friday promotion on Shopee or Amazon) and need to benchmark your discount depth and bundle structure against the top 5 competitors in your category to ensure your deal is compelling without being unnecessarily deep. - You notice your conversion rate has dropped over the past three weeks and want to analyze whether competitor price changes, new low-cost entrants, or shifted bundle packaging in your niche is the root cause. - You are launching a new SKU and need to set its price point by mapping the current competitive landscape — including anchor prices, floor prices, bundle prices, and premium positioning — across TikTok Shop, Amazon, and Shopee. - You manage pricing for a brand with 10 or more SKUs and want to run a quarterly competitive pricing audit to identify which products are overpriced relative to the market and which are undervalued and could absorb a margin increase. ## What this skill does Price Intel guides you through a structured competitive pricing analysis by processing the pricing data and observations you supply about competitors, then outputting a multi-layered intelligence report. It organizes competitor pricing into four categories: everyday pricing (their base list price), promotional pricing (frequency and depth of discounts), bundle and multi-unit pricing (how they use quantity deals or accessory bundles to increase AOV), and perceived value positioning (how pricing relates to their review count, imagery quality, and content strategy). For each competitor observed, the skill identifies behavioral patterns — for example, whether a competitor discounts heavily on weekends, anchors with inflated original prices, or uses free-shipping thresholds strategically. It then maps these patterns against your own pricing to surface specific opportunities: where you can safely raise prices, where you need to justify your premium more explicitly, and which bundle or value-add structures are working in your category that you are not currently using. ## Inputs required - **Your product(s) and current price** (required): List the SKU name, your current selling price, your cost of goods, and your current platform (TikTok Shop, Amazon, Shopee, etc.). Include variants if pricing differs by size or color. - **Competitor product links or names with prices** (required): Provide at least three to five competitor products that are direct substitutes — include their current listed price, any visible original/crossed-out price, and any bundle or multi-pack option. These can be pasted from a platform search results page. - **Promotional data observed** (optional): Any discount events, coupon offers, or flash sale prices you have seen from competitors in the past 30 days. Even rough notes like "Competitor A ran a 20% off promo last weekend" are useful for pattern detection. - **Target margin floor** (optional): Your minimum acceptable gross margin percentage. Including this allows the skill to frame pricing recommendations within your financial constraints rather than suggesting tactics that would be unprofitable at your cost structure. ## Output format The output is structured as a four-part competitive pricing intelligence report. The first part is a **Competitor Price Map** — a comparison table showing each competitor's base price, promotional price, bundle price (if applicable), and estimated discount depth. The second part is a **Pattern Analysis** that describes each competitor's pricing behavior in plain language: how often they discount, what triggers their promotions, and what psychological pricing tactics they appear to use. The third part is a **Positioning Gap Analysis** that shows where your price sits relative to the competitive field and identifies specific over-priced or under-priced positions. The fourth part is a **Recommended Actions** list with three to five concrete pricing or bundling adjustments ranked by expected impact, each with a rationale and implementation note. Total output length is typically 600–900 words plus tables. ## Scope - Designed for: TikTok Shop sellers, Amazon merchants, Shopee and Lazada sellers, and ecommerce brand pricing managers - Platform context: TikTok Shop, Amazon, Shopee, Lazada, and platform-agnostic for multi-channel comparisons - Language: English ## Limitations - This skill does not connect to live pricing APIs or scrapers — all competitor data must be provided manually by the user based on their own market research and observation. - Price recommendations are based on competitive positioning logic and the inputs provided; they are not validated against your platform's algorithm preferences, which may weight factors like price competitiveness differently across categories. - This skill does not constitute financial or business consulting advice — pricing decisions should be reviewed in the context of your full unit economics, brand strategy, and platform terms of service.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)