"property value", "worth", "valuation"?
us_get_valuation / uk_average_price
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Business operationsPublic skills
Real Estate Intelligence
Global property intelligence for AI agents — transactions, valuations, market comparisons, and geocoding across US, UK, EU, Africa, Middle East, and Asia-Pacific.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate global property intelligence — search transactions, get valuations, compare markets, geocode locations, and analyze property data across US, UK, EU, Africa, Middle East, and Asia-Pacific. Use when searching properties, getting valuations, comparing real estate markets, checking transaction history, or…
Architecture
How Real Estate Intelligence guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Real Estate Intelligence skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-real-estate
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"search", "find properties", "listings"?
us_search_properties / me_search_listings / search_properties_nearby
"transaction", "sold", "sales history"?
uk_search_transactions / us_sales_history
"market", "compare", "indicators"?
get_market_indicators / compare_markets
"location", "neighborhood", "where is"?
geocode_search / reverse_geocode
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
012-3 calls
Property Valuation
Estimate + comparables + context
022 calls
Market Comparison
Side-by-side country indicators
031-2 calls
Property Search
Find listings by location
041 calls
Transaction History
Past sales for a property/area
05Data Source calls
Region
Capabilities
06Zillow/Redfin APIs calls
US
Valuations, sales history, search
Tool boundary
The skill may use 11 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-real-estate retains responsibility for authentication, validation, and the connected system.
uk_search_transactions
uk_average_price
geocode_search
reverse_geocode
search_properties_nearby
get_market_indicators
compare_markets
us_search_properties
us_get_valuation
us_sales_history
me_search_listings
Working rules
What the agent should do.
- Follow the decision guide, use the declared tool boundary, and verify the result before responding.
Operating boundaries
What the agent should avoid.
- Review the complete SKILL.md before enabling this skill for production work.
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-real-estate, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-real-estate-intelligence.git \
~/.skills/skills/real-estate-intelligenceADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("real-estate-intelligence").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-real-estate server connected (UK Land Registry, US Zillow/Redfin, UAE listings, World Bank, OpenStreetMap).
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 11
- References
- 3
- Revision
- 6a87740fd4aa
- Updated
- May 31, 2026