auto-estimate-generatorAutomatically generate estimates from QTO data. Apply pricing rules to BIM quantities for cost estimates.
Install via ClawdBot CLI:
clawdbot install datadrivenconstruction/auto-estimate-generatorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
A contractor uses BIM models from architects to extract quantities for structural elements like walls, floors, and columns. The skill applies pricing rules based on material types and dimensions to generate cost estimates, reducing manual data entry and ensuring consistency across projects.
A developer imports QTO data for residential units, including doors, windows, and MEP components. The skill automates cost estimation by mapping quantities to pre-configured assembly codes, helping in budgeting and bid preparation for multiple housing projects.
An engineering firm uses BIM data for infrastructure elements like foundations, beams, and roofs. The skill processes large datasets with conditional pricing rules (e.g., thickness ranges) to produce detailed cost breakdowns, improving accuracy in public sector tenders.
A renovation contractor inputs QTO data from existing building scans for elements like ceilings and stairs. The skill applies updated pricing rules to account for material variations and labor costs, facilitating quick estimate updates for client proposals.
Offer the skill as a cloud-based subscription service, allowing construction firms to upload BIM/QTO data and access automated estimates. Revenue is generated through monthly or annual licenses based on project volume or user seats.
Provide tailored implementation services, helping clients integrate the skill with their existing BIM tools and customize pricing rules. Revenue comes from one-time setup fees, training sessions, and ongoing support contracts.
Sell perpetual licenses to large construction companies or government agencies for on-premise deployment. Revenue includes upfront licensing costs, plus optional maintenance fees for updates and technical support.
💬 Integration Tip
Ensure Python 3 is installed and use pandas DataFrames for input data; structure QTO and pricing rule files with consistent column names as shown in the code examples.
Scored Apr 15, 2026
Document significant technical decisions with context, rationale, and consequences to maintain clear, lightweight architectural records for future reference.
Use when designing new system architecture, reviewing existing designs, or making architectural decisions. Invoke for system design, architecture review, design patterns, ADRs, scalability planning.
Guide any property decision for buyers, sellers, landlords, investors, or agents in any jurisdiction.
When the user wants to audit, redesign, or plan their website's structure, URL hierarchy, navigation design, or internal linking strategy. Use when the user...
Avoid common Unreal mistakes — garbage collection, UPROPERTY macros, replication authority, and asset reference pitfalls.
Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems