Use Case
Cost Prediction isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models. This guide covers how to deploy Cost Prediction for your team, standardize prompts, and create shared workflows that everyone can use.
Install Cost Prediction in your project directory: .claude/skills/cost-prediction/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Cost Prediction in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Cost Prediction
How can my team use Cost Prediction together?
Set up Cost Prediction for our project so everyone can use it
Create a shared workflow using Cost Prediction for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install cost-predictionOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install cost-predictionβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/cost-prediction/π‘Extract and place the folder at the path above, then restart your agent.