Agent skill

labor-rate-datadrivenconstructi-ddc-skills-for-ai-ag

Calculate construction labor rates with overhead, benefits, and productivity factors. Regional rate databases and crew composition.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill labor-rate-datadrivenconstructi-ddc-skills-for-ai-ag --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/analysis/labor-rate-datadrivenconstructi-ddc-skills-for-ai-ag/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Labor Rate Calculator ## Overview Labor costs account for 30-50% of construction costs. This skill calculates all-in labor rates including wages, benefits, overhead, and regional adjustments. ## Python Implementation ```python import pandas as pd from typing import Dict, Any, List, Optional from dataclasses import dataclass, field from enum import Enum class LaborCategory(Enum): """Labor skill categories.""" LABORER = "laborer" CARPENTER = "carpenter" ELECTRICIAN = "electrician" PLUMBER = "plumber" IRONWORKER = "ironworker" MASON = "mason" OPERATOR = "equipment_operator" FOREMAN = "foreman" SUPERINTENDENT = "superintendent" class WorkType(Enum): """Work type for productivity.""" NEW_CONSTRUCTION = "new" RENOVATION = "renovation" DEMOLITION = "demolition" MAINTENANCE = "maintenance" @dataclass class LaborRate: """Complete labor rate breakdown.""" category: str base_wage: float benefits: float taxes: float insurance: float overhead: float profit: float total_rate: float unit: str = "hour" @dataclass class CrewComposition: """Crew composition for work.""" name: str workers: List[Dict[str, Any]] total_hourly_cost: float output_per_hour: float unit: str class LaborRateCalculator: """C

What's inside
Steps it walks through
  1. Overview
  2. Python Implementation
  3. Quick Start
  4. Common Use Cases
  5. 1. Crew Cost
  6. 2. Productivity Adjustment
  7. Resources
Ships with 1 file
  • metadata.json
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About this skill
What does the labor-rate-datadrivenconstructi-ddc-skills-for-ai-ag skill do?

Calculate construction labor rates with overhead, benefits, and productivity factors. Regional rate databases and crew composition.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill labor-rate-datadrivenconstructi-ddc-skills-for-ai-ag --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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