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home / skills / a5c-ai / babysitter / cost-database-interface

cost-database-interface skill

/plugins/babysitter/skills/babysit/process/specializations/domains/science/civil-engineering/skills/cost-database-interface

This skill provides access to construction cost databases for unit costs, productivity, and regional adjustments to enable accurate cost estimation.

npx playbooks add skill a5c-ai/babysitter --skill cost-database-interface

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
1.5 KB
---
name: cost-database-interface
description: Construction cost database interface skill for unit costs, productivity, and regional adjustments
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Edit
  - Bash
metadata:
  specialization: civil-engineering
  domain: science
  category: Construction Management
  skill-id: CIV-SK-028
---

# Cost Database Interface Skill

## Purpose

The Cost Database Interface Skill provides access to construction cost databases for unit costs, crew productivity rates, and regional cost adjustments.

## Capabilities

- RS Means database integration
- Unit cost lookup
- Regional cost adjustments
- Crew productivity rates
- Equipment rental rates
- Material price indices
- Historical cost trending
- Location factor application

## Usage Guidelines

### When to Use
- Developing cost estimates
- Benchmarking project costs
- Adjusting for location
- Forecasting costs

### Prerequisites
- Database access configured
- Cost categories identified
- Location factors known
- Time period specified

### Best Practices
- Use current data
- Apply appropriate factors
- Verify for local conditions
- Document cost sources

## Process Integration

This skill integrates with:
- Construction Cost Estimation

## Configuration

```yaml
cost-database-interface:
  databases:
    - rs-means
    - dodge
    - eni
  data-types:
    - unit-costs
    - productivity
    - equipment
    - materials
  adjustments:
    - location
    - time
    - size
```

## Output Artifacts

- Cost data extracts
- Location factors
- Productivity data
- Cost indices

Overview

This skill provides a focused interface to construction cost databases for unit costs, crew productivity rates, equipment rentals, material indices, and regional adjustments. It centralizes lookups, applies location and time factors, and delivers extractable cost artifacts for estimating and benchmarking. The skill is designed to plug into estimating workflows and supply deterministic, auditable cost outputs.

How this skill works

The skill connects to configured cost sources (RS Means, Dodge, ENI, etc.), queries unit costs and productivity records, and returns normalized, versioned data. It applies location factors, time-index adjustments, and size or scope modifiers to produce adjusted cost lines. Results are returned as cost extracts, indices, and productivity summaries ready for downstream calculation or reporting.

When to use it

  • Preparing detailed construction cost estimates
  • Applying regional adjustments to baseline unit costs
  • Benchmarking project rates and productivity against industry databases
  • Forecasting material and equipment cost trends over time
  • Extracting auditable cost data for procurement or bid packages

Best practices

  • Ensure database credentials and API endpoints are current before queries
  • Identify and document cost categories and time periods for every extract
  • Apply appropriate location and time-index factors and record their sources
  • Validate adjusted rates against local vendor quotes for final bids
  • Version-control cost extracts and record the dataset snapshot used

Example use cases

  • Lookup RS Means unit cost for concrete placement and apply local location factor
  • Generate crew productivity rates for schedule planning and workforce estimating
  • Produce historical material price trend extracts for inflation forecasting
  • Create equipment rental rate summaries for jobsite budgeting and bid lines
  • Export normalized cost indices for integration into an estimating model or ERP

FAQ

What data sources does the skill support?

It supports configured sources such as RS Means, Dodge, and ENI; additional sources can be added via configuration.

What outputs can I expect?

Outputs include cost data extracts, adjusted unit costs, location factors, productivity data, and time-based cost indices.