From Listing to Budget: Structuring Renovation Projects with RenooLab

Where this fits

A user pastes a real-estate listing and asks: “What will it cost to renovate this apartment, and where do I start?” Without a structured framework, an agent either invents numbers or dumps generic advice. This skill turns that raw input into a verifiable plan: risks, scope breakdown, lot decomposition, budget scenarios, and an ordered action list—so the agent behaves like a project analyst, not a chatbot.

Why agents benefit

• Transforms unstructured input—listings, visit notes, purchase intentions—into a normalized project structure (risks, cahier des charges, lots, budget).
• Enforces decision order: it prioritizes planning over ideation, guiding the agent to ask about constraints (timeline, occupancy) before suggesting finishes or materials.
• Produces budget scenarios with explicit assumptions and a contingency reserve, making the agent’s estimates auditable and defensible.
• Covers regulatory and practical layers: permits, subsidies, phasing, landlord-renovation rules, and an insurance checklist—areas where agents often hallucinate.
• Clearly excludes scope (e.g., comparing artisan quotes), so the agent knows when to stop and hand off to a human or another tool.

Practical scenarios

First-time buyer analyzing a listing

The agent reads a listing description, extracts surface area, condition, and red flags (e.g., outdated electrical), then produces a phased renovation plan with cost ranges and a recommended order of work—helping the buyer decide whether to proceed with an offer.

Landlord planning a rental renovation

A landlord wants to know what improvements are mandatory, what subsidies exist, and how to sequence work between tenants. The skill structures the project into lots (plumbing, insulation, finishes) and flags regulatory steps like permits or co-ownership approvals.

Homeowner stuck on “what to do first”

Instead of listing random tasks, the agent uses the skill to build a dependency graph: structural checks before insulation, insulation before drywall, drywall before painting—then estimates budget per phase and suggests a realistic calendar.

Add it to your agent workflow

Install via the OpenAgentSkill CLI:

npx skills add mehdimicra/renoolab-agent-skills --skill renoolab-planifier-budgeter-travaux

Then instruct your agent to load the skill whenever a user asks about renovation costs, ordering, or planning. For example:

User: I'm considering buying a 1970s house. What should I budget for a full renovation?
Agent: [Loads skill] Let's structure this. First, define the expected outcome and constraints...

The skill will guide the agent through its procedure: define scope, classify needs, decompose into lots, build budget scenarios, and outline next steps.

Compare before adopting

Before you commit, check the skill’s maintenance freshness (last commit, issues), its alternatives (generic renovation prompts vs. domain-specific frameworks), and how well it fits your user base—this one is French-centric, so localization matters. Also verify that its exclusions align with your agent’s other tools (e.g., quote comparison).

Why it is worth tracking

With only 3 stars, it’s early-stage, but the structured approach fills a real gap: most agents lack a repeatable method for renovation planning. Watch for updates, community feedback, and whether the author iterates on real-world use cases. Evaluate it now if you serve French-speaking users in real estate or home improvement—it could become a solid baseline for a whole class of “plan and budget” tasks. For more details, see the skill page on OpenAgentSkill.