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project-estimation

project-estimation

github.com/aj-geddesProductivity373661 installsUpdated 34w ago
Repository

About project-estimation

A project-estimation skill for teams planning scope, budgets, timelines, and resources. It brings together estimation methods, reference guides, and practices for handling uncertainty and reviewing estimates.

Key features

  1. 01PERT three-point estimation
  2. 02Bottom-up and analogous methods
  3. 03Resource estimation guidance
  4. 04Templates and best practices

Use cases

  1. 01Estimating project timelines and budgets
  2. 02Allocating team resources
  3. 03Assessing feasibility and contingencies

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill project-estimation

After installing, type/project-estimationin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
analogous-estimation.md
bottom-up-estimation.md
estimation-templates.md
resource-estimation.md
three-point-estimation-pert.md
templates/
process-template.md

Details

From the project README

Project Estimation

Table of Contents

Overview

Accurate project estimation determines realistic timelines, budgets, and resource allocation. Effective estimation combines historical data, expert judgment, and structured techniques to minimize surprises.

When to Use

  • Defining project scope and deliverables
  • Creating project budgets and timelines
  • Allocating team resources
  • Managing stakeholder expectations
  • Assessing project feasibility
  • Planning for contingencies
  • Updating estimates during project execution

Quick Start

Minimal working example:

# Three-point estimation technique for uncertainty

class ThreePointEstimation:
    @staticmethod
    def calculate_pert_estimate(optimistic, most_likely, pessimistic):
        """
        PERT formula: (O + 4M + P) / 6
        Weighted toward most likely estimate
        """
        pert = (optimistic + 4 * most_likely + pessimistic) / 6
        return round(pert, 2)

    @staticmethod
    def calculate_standard_deviation(optimistic, pessimistic):
        """Standard deviation for risk analysis"""
        sigma = (pessimistic - optimistic) / 6
        return round(sigma, 2)

    @staticmethod
    def calculate_confidence_interval(pert_estimate, std_dev, confidence=0.95):
        """
        Calculate confidence interval for estimate
        95% confidence ≈ ±2 sigma
        """
        z_score = 1.96 if confidence == 0.95 else 2.576
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Three-Point Estimation (PERT)Three-Point Estimation (PERT)
Bottom-Up EstimationBottom-Up Estimation
Analogous EstimationAnalogous Estimation
Resource EstimationResource Estimation
Estimation TemplatesEstimation Templates

Best Practices

✅ DO
  • Use multiple estimation techniques and compare results
  • Include contingency buffers (15-25% for new projects)
  • Base estimates on historical data from similar projects
  • Break down large efforts into smaller components
  • Get input from team members doing the actual work
  • Document assumptions and exclusions clearly
  • Review and adjust estimates regularly
  • Track actual vs. estimated metrics for improvement
  • Include non-development tasks (planning, testing, deployment)
  • Account for learning curve on unfamiliar technologies
❌ DON'T
  • Estimate without clear scope definition
  • Use unrealistic best-case scenarios
  • Ignore historical project data
  • Estimate under pressure to hit arbitrary targets
  • Forget to include non-coding activities
  • Use estimates as performance metrics for individuals
  • Change estimates mid-project without clear reason
  • Estimate without team input
  • Ignore risks and contingencies
  • Use one technique exclusively

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