project-estimation

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INSTALLATION
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill project-estimation
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

Project Estimation

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

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:

Guide

Contents

Three-Point Estimation (PERT)

Three-Point Estimation (PERT)

Bottom-Up Estimation

Bottom-Up Estimation

Analogous Estimation

Analogous Estimation

Resource Estimation

Resource Estimation

Estimation Templates

Estimation 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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