
Project Sizing Guide
Software project effort estimation assistant.
Install
npx skills add zebbern/claude-code-guide --skill project-sizing-guide -g -a claude-code -y- Repository
- zebbern/claude-code-guide4.7k
- Category
- Engineering
- Updated
- 4d ago
- License
- MIT
- Context cost
- Mediumabout 2,946 tokens
- Runs scripts
- Yes, review before use
What it does
Software project effort estimation assistant. Outputs three-point estimates (optimistic/most-likely/pessimistic values with confidence intervals), T-shirt sizes, or Function Point Analysis (FPA) counts. Triggered when users ask 'how long will this feature take,' need to assess project workload, perform PERT estimation, T-shirt sizing, FPA, sprint planning, or quote-based effort breakdowns.
Project Sizing Guide, Software Project Effort Estimation
Helps teams produce scientifically grounded effort estimates for software projects, based on three major methodologies: Three-Point Estimation (PERT), T-shirt Sizing, and Function Point Analysis (FPA). Outputs optimistic, most-likely, and pessimistic values along with risk intervals.
Quick Start
- User provides a requirements description → Agent identifies functional modules and breaks them into a Work Breakdown Structure (WBS)
- Select an estimation method → Choose the best-fit approach based on project stage and available information
- Estimate each item → Assign O/M/P (Optimistic / Most Likely / Pessimistic) values to every work package
- Aggregate and report → Generate an estimation report with risk analysis and confidence intervals
A calculation helper is available:
python3 scripts/estimate_calculator.py --method pert --tasks '[{"name":"User Login","O":2,"M":3,"P":8}]'
Method Selection Guide
| Scenario | Recommended Method | Rationale |
|---|---|---|
| Early feasibility study, rough budgeting | T-shirt Sizing | Little information available; quickly align on order of magnitude |
| Sprint planning, iteration estimation | Three-Point Estimation (PERT) | Good granularity with confidence intervals |
| Contract bidding, large-project RFPs | Function Point Analysis (FPA) | Most rigorous; industry-comparable |
| Team has historical data | PERT + historical calibration | Combines empirical correction with data |
