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AI Home Pricing Strategist Canada
by
allenweisongzhou-cpu
· GitHub ↗
· v1.0.1
· MIT-0
156
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Install in OpenClaw
/install ai-home-pricing-strategist-canada
Description
Analyze and price Canadian residential properties using comps, price-per-square-foot reasoning, market context, and pricing strategy. Use when estimating hom...
README (SKILL.md)
AI Home Pricing Strategist Canada
Workflow
- Gather the core property details first:
- city / neighborhood
- property type
- interior size
- lot size if relevant
- bedrooms / bathrooms
- parking
- age / condition
- renovations / upgrades
- special features
- occupancy or income potential if relevant
- Identify the most relevant comparable properties before estimating value.
- Adjust the comparables for material differences such as:
- micro-location
- size
- layout
- lot characteristics
- condition
- renovations
- parking
- view / frontage / exposure
- basement / income suite potential
- Consider market context:
- supply and demand
- recent momentum
- seasonality
- buyer sensitivity at different price bands
- Produce a practical recommendation, not just a number.
Output format
Provide:
- estimated value range
- best estimate
- recommended list price if selling
- 2-3 sale scenarios when useful
- key drivers of value
- main risks / uncertainties
- confidence level
Guidance
- Prefer recent and highly similar comparables over generic averages.
- Explain adjustments in plain language.
- Distinguish between market value and listing strategy.
- If data is thin or inputs are incomplete, say so clearly and lower confidence.
- Avoid presenting output as a formal appraisal unless the user explicitly asks for appraisal-style wording and even then note the limitation.
Example structure
- Estimated value: $X-$Y
- Best estimate: $Z
- Suggested list price: $A
- Scenario 1 (fast sale): ...
- Scenario 2 (balanced): ...
- Scenario 3 (stretch): ...
- Confidence: low / medium / high
- Why: ...
- Risks: ...
Usage Guidance
This skill appears coherent and safe in terms of system access: it is instruction-only, asks for no credentials, and outlines reasonable steps for generating a pricing recommendation. Before using it, keep these points in mind:
- Bias: The prompt emphasizes 'maximize seller outcome' which will bias recommendations toward seller-friendly pricing/strategy. Treat outputs as advisory, not definitive.
- Data sources: The skill presumes access to accurate local comps and market context. Provide reliable comparables, MLS/transaction data, and be explicit about the data source and its date.
- Not a formal appraisal: The skill itself warns against treating results as a formal appraisal. For legal, lending, or litigation uses, rely on a licensed appraiser or official valuation.
- Privacy: Avoid pasting unnecessary personal data (full names, financial documents). Share only the property details needed (address/neighborhood, features, comps) and be cautious with personally identifiable information.
- Cross-check: Verify suggested list price and scenarios against local market knowledge, current listings, and a human broker/appraiser—especially for high-value or unusual properties.
If you want a stricter neutrality (no seller bias) or an appraisal-style framing, request that change from the skill author or edit the prompt to remove the 'maximize seller outcome' instruction.
Capability Analysis
Type: OpenClaw Skill
Name: ai-home-pricing-strategist-canada
Version: 1.0.1
The skill bundle is a legitimate real estate valuation tool for the Canadian market. It contains only metadata and instructional text (SKILL.md and prompt.txt) designed to guide an AI agent through property analysis and pricing strategies. There are no executable code files, network requests, or indicators of malicious intent or prompt injection.
Capability Assessment
Purpose & Capability
The name and description (pricing Canadian residential properties) match the instructions: gather property details, select comparables, adjust for features/market, and produce pricing scenarios. The prompts and guidance are appropriate for that purpose and do not request unrelated resources.
Instruction Scope
Instructions stay within pricing/strategy scope and do not ask the agent to read system files or external credentials. Note: the included prompt explicitly tells the agent to 'maximize seller outcome' which introduces intentional methodological bias toward sellers; the skill also encourages numeric recommendations rather than acting as a formal appraisal. Users should be aware of this bias and confirm valuation-sensitive decisions with licensed professionals or local data sources.
Install Mechanism
No install spec, no code files, and no binaries required. Instruction-only skills are lowest-risk because nothing is written to disk or fetched during installation.
Credentials
The skill requires no environment variables, credentials, or config paths. There are no requests for unrelated secrets or system access.
Persistence & Privilege
The skill is not marked always:true and uses default invocation. It does not request persistent presence, nor does it modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-home-pricing-strategist-canada - After installation, invoke the skill by name or use
/ai-home-pricing-strategist-canada - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Clean up SKILL.md format and convert to valid AgentSkill structure
v1.0.0
AI Home Pricing Strategist (Canada) – Initial Release
- Provides homeowners with a data-driven second opinion on home pricing based on Canadian market behavior.
- Analyzes comparable sales, price-per-square-foot, trends, property features, and buyer demand.
- Estimates market value range and highlights key price factors (free version).
- Offers upgrade for deeper strategic guidance: optimal listing price, demand prediction, sale scenarios, price strategy, and risk analysis.
- Designed for Canadian sellers, FSBO, buyers, and investors seeking smarter pricing decisions.
Metadata
Frequently Asked Questions
What is AI Home Pricing Strategist Canada?
Analyze and price Canadian residential properties using comps, price-per-square-foot reasoning, market context, and pricing strategy. Use when estimating hom... It is an AI Agent Skill for Claude Code / OpenClaw, with 156 downloads so far.
How do I install AI Home Pricing Strategist Canada?
Run "/install ai-home-pricing-strategist-canada" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI Home Pricing Strategist Canada free?
Yes, AI Home Pricing Strategist Canada is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI Home Pricing Strategist Canada support?
AI Home Pricing Strategist Canada is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI Home Pricing Strategist Canada?
It is built and maintained by allenweisongzhou-cpu (@allenweisongzhou-cpu); the current version is v1.0.1.
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