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AI Home Pricing Strategist Canada

Name: AI Home Pricing Strategist Canada
Author: allenweisongzhou-cpu

作者 allenweisongzhou-cpu · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ✓ 安全检测通过

156

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-home-pricing-strategist-canada

功能描述

Analyze and price Canadian residential properties using comps, price-per-square-foot reasoning, market context, and pricing strategy. Use when estimating hom...

使用说明 (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: ...

安全使用建议

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.

功能分析

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.

能力评估

✓ 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.

ℹ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install ai-home-pricing-strategist-canada
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-home-pricing-strategist-canada 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

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.

元数据

Slug ai-home-pricing-strategist-canada

版本 1.0.1

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 2

常见问题