Run competitor price analysis on the price snapshots your team collects. This Skill compares matched products, shipping terms, stock and your own costs, then drafts pricing review actions so an ecommerce team can decide whether to hold price, change an offer or investigate a competitor's discount.
Competitor Price Monitor works from dated observations of comparable products. It considers the offer around the price, including availability, shipping and relevant product differences, before connecting the comparison to your cost and margin limits.
The deliverable is a price-position brief with scenarios and suggested follow-up. You provide the observations; collecting prices repeatedly, sending alerts and changing store prices need separate tools.
The comparison includes the commercial context of each offer. A lower displayed price may come with different shipping, availability or features; recording those differences helps the team make a more useful like-for-like comparison.
Use it for weekly pricing reviews, competitor promotion checks or a proposed discount. Cost and margin constraints keep the options focused on what the store can afford, while any predicted sales effect remains a scenario to test.
Dated matched-product price snapshots, shipping terms, stock status, own costs, and margin constraints.
A model chat is enough to draft from these instructions. Real system access or file changes need separately configured tools.
No crawler, scheduler, alert delivery, or repricing connector is included. Price and profit effects are scenarios, not forecasts proven by the template.
Use these instructions in a chat, or ask Codex / Claude Code to save them as a personal Skill for repeated tasks.
Set up a personal reusable instruction template for Competitor Price Monitor in the app I am using.
1. Read the “Collected instruction template” section at https://ecomagenttools.com/skills/competitor-price-monitor. Use only that complete instruction text, not the page’s reviews, FAQ or installation explanation. If you cannot retrieve the complete text, ask me to paste it; do not guess it or download a same-named third-party package.
2. Show which assumptions, placeholders and access requirements I need to supply. Preserve the collected task instructions. This is a locally adapted template, not an original-author package.
3. If you are Codex or Claude Code with local file access, create a personal Skill named competitor-price-monitor-local under ~/.agents/skills/competitor-price-monitor-local/SKILL.md for Codex or ~/.claude/skills/competitor-price-monitor-local/SKILL.md for Claude Code. Add valid name and description frontmatter if absent; keep the collected instructions in the body and identify the local adaptation. Do not overwrite an existing Skill. If you are in a chat-only app, use these instructions in the current conversation instead and do not claim a local installation.
4. Return the saved path or current-chat setup result and a starter request for this task. List any required tools or data that remain unconfigured. Do not claim account/API access or a completed business workflow just because the template was saved.Network-collected; no confirmed author source. The collected text was reviewed, but it has not been linked to a verified original publication. This does not establish that no official package exists; the examples here use only the collected text.
You are a competitive pricing analyst for an ecommerce business. When provided competitor data:
1. PRICE POSITIONING MAP:
Plot your products against top 5 competitors on:
- Price percentile (are you premium, mid-market, budget?)
- Feature comparison (more features vs less)
- Rating comparison (stars and review count)
2. OPPORTUNITY IDENTIFICATION:
- Competitors out of stock → opportunity to raise prices
- Competitors running promotions → adjust or wait
- New competitor entered → assess threat level
- Buy Box rotation patterns (Amazon)
- MAP policy violations to report
3. PRICING RECOMMENDATIONS:
For each product:
- Current price and margin
- Recommended price range
- Expected sales impact
- Estimated profit impact
- Confidence level
4. ALERTS:
- 🔴 Competitor dropped price >15% on shared product
- 🟡 Multiple competitors running promos (category may be softening)
- 🟢 Competitor out of stock on high-volume item
5. WEEKLY REPORT:
- Price change summary
- Margin impact analysis
- Recommended actions (prioritized by $ impact)Starter prompts for the main use cases—copy and use them directly.
Normalize matching products, shipping, and promotions before comparing price positions. Use for: Compare price positioning. Prepare: Dated matched-product price snapshots, shipping terms, stock status, own costs, and margin constraints.
Use the collected instructions above. Task: Normalize matching products, shipping, and promotions before comparing price positions.. Inputs: [INPUT]. Constraints: [CONSTRAINTS]. Check missing information first. Produce a reviewable result with evidence, assumptions, and next steps. No crawler, scheduler, alert delivery, or repricing connector is included. Price and profit effects are scenarios, not forecasts proven by the template.[INPUT][CONSTRAINTS]Compare respond, hold, and differentiate options against current margin constraints. Use for: Review a competitor discount. Prepare: Dated matched-product price snapshots, shipping terms, stock status, own costs, and margin constraints.
Use the collected instructions above. Task: Compare respond, hold, and differentiate options against current margin constraints.. Inputs: [INPUT]. Constraints: [CONSTRAINTS]. Check missing information first. Produce a reviewable result with evidence, assumptions, and next steps. No crawler, scheduler, alert delivery, or repricing connector is included. Price and profit effects are scenarios, not forecasts proven by the template.[INPUT][CONSTRAINTS]Summarize changes between dated snapshots and label evidence gaps and assumptions. Use for: Write a weekly price brief. Prepare: Dated matched-product price snapshots, shipping terms, stock status, own costs, and margin constraints.
Use the collected instructions above. Task: Summarize changes between dated snapshots and label evidence gaps and assumptions.. Inputs: [INPUT]. Constraints: [CONSTRAINTS]. Check missing information first. Produce a reviewable result with evidence, assumptions, and next steps. No crawler, scheduler, alert delivery, or repricing connector is included. Price and profit effects are scenarios, not forecasts proven by the template.[INPUT][CONSTRAINTS]Inputs include the store’s $24 price, $8 product cost and $4 outbound cost, plus two periods of fictional competitor quotes and Buy Box snapshots.
Case input files: business-inputs.zip
Use the competitor-price-monitor Skill.
Review the supplied competitor-price observations before our promotion. Compare like-for-like products by delivered price, discount and availability, recalculate the price gap and our contribution after discounts, and recommend whether to hold, match or change our offer. Explain the margin trade-off and what observation would change the decision.
The attached business materials are:
- inputs/brief.csv
- inputs/context.json
- inputs/merchant.json
Deliver a complete result.md report that the operations team can read, plus any finished files needed for this task. Keep supporting calculations and evidence with the deliverables. Write the report in English; use the requested target language for customer-facing copy. The business datasets are fictional examples unless the brief explicitly names a live public website.The primary file produced by this prompt is shown below in its original language.
Hold HM-BLUE-001 at $24 plus $5 shipping ($29 delivered). Do not launch a blanket price match. Keep $21–$24 as the conditional planning range: $24 is the approved recommendation in this analysis; $21 is a possible controlled promotion only if incremental demand can justify it. No pricing or account changes have been made.
All business observations and sales data in this report are synthetic examples, not live market evidence. Prices are USD, for one mug delivered domestically, before tax. The review compares 27 October with 3 November 2026.
At $24, merchandise contribution is $12 per mug, or 50% of item revenue. Matching C2 at $21 reduces it to $9 and requires 160 units instead of 120 to preserve $1,440 contribution. Matching C1 at $16 reduces it to $4 and requires 360 units. Neither demand increase is supported by the supplied observations. Hold with moderate confidence; confidence in any sales forecast is low because no price-response evidence was supplied. Confirm HarborMug inventory before committing promotional volume.
The delivered gap is HarborMug delivered price minus competitor delivered price; its percentage uses the competitor delivered price as denominator. Discounts below are observed changes from the prior price, not verified advertised discount claims. No additional coupons apply.
| Seller | Prior → current item | Observed reduction | Shipping | Delivered | HarborMug gap | Availability / promotion | Features | Rating / reviews |
|---|---|---|---|---|---|---|---|---|
| C1 | $20 → $16 | $4 / 20.00% | $5 | $21 | +$8 / 38.10% | In stock / yes | 3 | 4.2 / 900 |
| C2 | $23 → $21 | $2 / 8.70% | $5 | $26 | +$3 / 11.54% | In stock / yes | 3 | 4.5 / 500 |
| C3 | $25 → $25 | $0 / 0% | $5 | $30 | −$1 / −3.33% | Out of stock / no | 4 | 4.6 / 1,300 |
| C4 | $28 → $28 | $0 / 0% | $5 | $33 | −$4 / −12.12% | In stock / no | 4 | 4.7 / 600 |
| C5 | Not supplied → $22 | Unknown | $5 | $27 | +$2 / 7.41% | In stock / no; new entrant | 2 | 4.1 / 12 |
| HarborMug | $24 → $24 | $0 / 0% | $5 | $29 | — | Stock not supplied / no discount supplied | 3 | 4.4 / 180 |
C1 is the shared product in the supplied Amazon context. C2 is the closest alternative on the documented feature rubric: capacity, insulation and steel body. C3 and C4 additionally document a leakproof lid; C5 documents capacity and steel only. HarborMug has no documented leakproof claim. These are attribute matches, not proof of equal performance. C2 also has a higher rating and more reviews than HarborMug, making its $3 delivered advantage a material competitive pressure. HarborMug's rating advantage over C1 does not establish willingness to pay $8 more.
HarborMug is fourth cheapest among six quoted offers: three of five competitors are cheaper, placing it at the 60th percentile by the share of competitor offers below its price. Among the four available competitor offers, three are cheaper (75%). It is upper-mid priced overall and premium priced against the three-feature alternatives. C3's unavailable price is a reference, not a purchasable substitute. Feature and review differences prevent treating every offer as interchangeable.
Merchandise contribution = discounted item price − $8 unit cost − $4 fulfillment shipping cost. It excludes the $5 customer shipping receipt, advertising, refunds, tax and payment fees. Merchandise margin uses discounted item revenue as denominator. These figures are contribution, not net profit.
| Action | Item / delivered | Discount from $24 | Contribution per unit / margin | Contribution at 120 units | Change versus hold | Units needed to preserve $1,440 |
|---|---|---|---|---|---|---|
| Hold | $24 / $29 | 0% | $12 / 50.00% | $1,440 | $0 | 120 |
| Small test | $23 / $28 | 4.17% | $11 / 47.83% | $1,320 | −$120 | 131 (+9.17%) |
| Intermediate test | $22 / $27 | 8.33% | $10 / 45.45% | $1,200 | −$240 | 144 (+20.00%) |
| Match C2 | $21 / $26 | 12.50% | $9 / 42.86% | $1,080 | −$360 | 160 (+33.33%) |
| Contract-floor reference | $18 / $23 | 25.00% | $6 / 33.33% | $720 | −$720 | 240 (+100.00%) |
| Match C1 | $16 / $21 | 33.33% | $4 / 25.00% | $480 | −$960 | 360 (+200.00%) |
The $18 reference is the supplied C1 advertised-price contract floor; it is not an established HarborMug margin target or a verified policy applicable to HarborMug. No discount below $21 is recommended.
Including collected customer shipping gives $17 contribution per single-mug order at the current price, or $2,040 for 120 orders before advertising and refunds. It gives $14 at $21 and $9 at $16; preserving $2,040 requires 146 and 227 orders respectively. The primary recommendation uses the merchant's requested merchandise contribution convention consistently. Free shipping starts at $50, so these shipping-inclusive figures cannot be extended to multi-unit baskets without recalculation.
A lower price could increase conversion, but the magnitude is unknown. At unchanged 120-unit volume, matching C2 costs $360 contribution; matching C1 costs $960. A raise could increase unit contribution but risks losing additional orders against cheaper available offers. C3's stockout alone does not justify a raise while C1 and C2 remain available. No measured sales lift or profit uplift is claimed.
Amazon's seven daily snapshots show C1 winning 3/7 (42.86%), HarborMug 2/7 (28.57%) and C2 2/7 (28.57%). The sequence is C1 → HarborMug → C1 → C2 → C1 → HarborMug → C2. Ownership changes between every adjacent snapshot. This establishes observed rotation only; it does not measure time-weighted share, continuous ownership, sales share or the effect of price.
C1's supplied advertised price of $16 is $2 (11.11%) below the synthetic $18 MAP floor. The context says promotions are covered and only C1's authorized HM-BLUE-001 listing is covered; C2–C5 are alternatives. This is a potential contract breach for merchant verification, not grounds for reporting other sellers. The supplied dated record is retained in the evidence files; no original listing screenshot or live URL was supplied. Obtain that evidence and verify the contract before any external escalation. No report has been sent.
The merchant's prior/current weekly figures show orders 100 → 120, gross item revenue $2,400 → $2,880, refunds $120 → $144, ad spend $300 → $360 and sessions 4,000 → 4,800: each rose 20%. Orders per session stayed 2.5%; item revenue per order stayed $24; refunds/gross stayed 5%; ad spend per order stayed $3. This is more traffic at unchanged observed conversion, not evidence that a discount drove growth.
At the current price, merchandise contribution before refunds and ads rose from $1,200 to $1,440. Subtracting reported refunds and ads gives a simplified residual of $780 → $936 (+$156), assuming one mug per order and no recovered costs. Including $5 shipping receipts per order gives $1,280 → $1,536. Refund shipping treatment and recovered stock are unknown, so these residuals are not accounting profit or a reliable discount forecast.
Use the existing accurate product description during the promotion planning period: “500ml insulated stainless steel mug.” No new customer-facing campaign copy or target language was requested, so no promotional claims or translations are added.
The material decision gap is demand response: neither discount elasticity nor promotion duration is supplied. HarborMug inventory also needs confirmation before a volume promotion. These gaps support holding price rather than assuming a match will pay for itself.
Merchant business data is synthetic. Website observations, when present, come from the public URLs listed in the report.
No crawler, scheduler, alert delivery, or repricing connector is included. Price and profit effects are scenarios, not forecasts proven by the template.
Network-collected; no confirmed author source. The collected text was reviewed, but it has not been linked to a verified original publication. This does not establish that no official package exists; the examples here use only the collected text.
Use authorized inputs and keep secrets out of prompts. Review customer-facing claims, calculations, code changes, and any proposed external action before applying them.
Analyze supplied competitor price snapshots and draft pricing review actions. The framework combines price position with features, availability, ratings, costs, and margin.
Copy the collected instructions below into a model chat or project instructions. Replace assumed access, default policies, sample numbers, and placeholders with your actual context. Attach a small redacted sample, use a starter prompt, and review the draft before acting.
Compare price positioning; Review a competitor discount; Write a weekly price brief
No crawler, scheduler, alert delivery, or repricing connector is included. Price and profit effects are scenarios, not forecasts proven by the template.
Network-collected; no confirmed author source. The collected text was reviewed, but it has not been linked to a verified original publication. This does not establish that no official package exists; the examples here use only the collected text.
The complete available Skill content is cataloged and reviewed; public web material does not currently name the original author. Attribution does not affect its directory visibility or content-based recommendation eligibility.
Network-collected; no author source is listed. This label describes attribution only, not capability, visibility, or recommendation eligibility.
No reviews yet.