IntermediateClaude Projects

Competitor Price Monitor

Competitor Price Monitor is an ecommerce AI skill for Claude Projects, built for teams working with Amazon, Shopify, Walmart. Use it to you are using price, cost, or…

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Supported Platforms
Amazon · Shopify · Walmart
System Prompt Original link: no public source found
01

What this Skill does

You are using price, cost, or margin signals to decide the next move. Do not change every step at once: test Daily competitive pricing intelligence alongside Pre-Q4 pricing strategy planning, then consider avoiding the expansion of a short-term signal into a broad rule. Start with a small test around “Daily competitive pricing intelligence”, then check whether “Pre-Q4 pricing strategy planning” fits the way your team actually works.

02

What makes it different

01

Breaks down a competitor page by operating dimension

The instruction separates positioning, pricing, conversion tactics, user experience, and search content instead of returning one undifferentiated summary.

02

Turns customer feedback into structured output

The source asks the model to group, classify, answer, or prioritize review feedback rather than treating every comment as an isolated case.

03

Uses inventory signals for operating decisions

The source works with stock, demand, or reorder information to identify what should be replenished, monitored, or investigated.

03

No installation needed

Copy and paste into a model chat
  1. Expand and copy the complete original Skill.md below.
  2. Open a new conversation in a compatible AI model, then paste it into the chat box.
  3. Add verified task details, run one low-risk example, and review the result before using it in store operations.
04

Original Skill.md

The complete source is shown below. Copy it from the top right to use it.

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)
05

Get started

Starter prompts for the main use cases—copy and use them directly.

01

Start with one real task

Do not begin with a store-wide rollout. Pick one reversible task where Competitor Price Monitor can help you plan inventory, purchasing, capacity, suppliers, and replenishment. Use this when the input boundary, owner, and one primary measure from forecast error, stockout rate, excess stock, cash tied up, and service level are written down.

Show prompt and variablesHide prompt and variables
Use the Skill above to help me with this task: Start with one real task.

Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]

Do not begin with a store-wide rollout. Pick one reversible task where Competitor Price Monitor can help you plan inventory, purchasing, capacity, suppliers, and replenishment.

Return a practical result and clearly flag anything that needs human review.

Replace these variables

[TASK_DETAILS]
The facts, context, or source material for this task.
[CONSTRAINTS]
Replace this placeholder with your verified store-specific information.
02

Prepare the input and guardrails

Collect only the clean SKU history, lead times, current stock, purchase constraints, and margin assumptions needed for this test. Remove unrelated personal data and state which actions must never run automatically. Use this when every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.

Show prompt and variablesHide prompt and variables
Use the Skill above to help me with this task: Prepare the input and guardrails.

Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]

Collect only the clean SKU history, lead times, current stock, purchase constraints, and margin assumptions needed for this test. Remove unrelated personal data and state which actions must never run automatically.

Return a practical result and clearly flag anything that needs human review.

Replace these variables

[TASK_DETAILS]
The facts, context, or source material for this task.
[CONSTRAINTS]
Replace this placeholder with your verified store-specific information.
03

Inspect the source Skill, then run it

Read the source, installation method, and permission notes before adding Competitor Price Monitor to a separate test project. Keep commands and Skill text exactly as published. Use this when you have a inventory or purchasing recommendation that a responsible operator can inspect, and it stayed inside the approved boundary.

Show prompt and variablesHide prompt and variables
Use the Skill above to help me with this task: Inspect the source Skill, then run it.

Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]

Read the source, installation method, and permission notes before adding Competitor Price Monitor to a separate test project. Keep commands and Skill text exactly as published.

Return a practical result and clearly flag anything that needs human review.

Replace these variables

[TASK_DETAILS]
The facts, context, or source material for this task.
[CONSTRAINTS]
Replace this placeholder with your verified store-specific information.
04

Review it against a baseline

Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time. Use this when forecast error, stockout rate, excess stock, cash tied up, and service level has a pre-test baseline, and errors and exceptions are logged separately.

Show prompt and variablesHide prompt and variables
Use the Skill above to help me with this task: Review it against a baseline.

Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]

Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.

Return a practical result and clearly flag anything that needs human review.

Replace these variables

[TASK_DETAILS]
The facts, context, or source material for this task.
[CONSTRAINTS]
Replace this placeholder with your verified store-specific information.
06

Risks and operating notes

Verify commercial terms before acting

Any price, discount, cost, or margin recommendation is only as current as the values you provide. Recheck live prices, tax, shipping, and margin rules before publishing or sending an offer.

Treat review patterns as hypotheses to test

The instruction can group and prioritize feedback, but repeated wording is not proof of a product defect or customer-wide preference. Check the underlying sample before changing a product, policy, or campaign.

Community rating results

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Task effectiveness
Setup and ease of use
Reliability and guardrails
Documentation clarity
Time to first useful result
Author / maintainer

Network-collected; original author unavailable.

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.

Risk, permissions, and limitations

Review third-party permission scopes before providing store data. Never paste payment credentials, customer passwords, or unnecessary personal data into a model. Outputs must be checked by the operator responsible for the workflow.

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