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progressive-estimation

Compute probabilistic effort ranges and confidence bands for AI-assisted software tasks.

3|Updated Mar 7, 2026
Search Tags:#project management#calibration#effort estimation#PERT#AI-assisted coding#confidence bands#effort prediction
One-click install
npx skills add https://github.com/Enreign/progressive-estimation --skill progressive-estimation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: progressive-estimation
Source: https://github.com/Enreign/progressive-estimation/tree/main
Command: npx skills add https://github.com/Enreign/progressive-estimation --skill progressive-estimation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides structured, research-backed effort estimations for AI-assisted and hybrid human+agent software development workflows, helping teams forecast project timelines accurately.

Core Features & Use Cases

  • Effort estimation for individual tasks or batches accounting for human and AI agent contributions
  • Confidence bands with PERT statistics for probabilistic planning
  • Calibration feedback loops that improve accuracy over time through actuals logging
  • Compatibility with diverse project management tools via formatted output

Quick Start

Use the progressive-estimation Skill to generate effort estimates for your task descriptions by inputting your work scope and parameters in plain language. It supports multiple AI clients with minimal setup.

Frequently Asked Questions about progressive-estimation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I estimate effort for AI-assisted software development projects?▼

Effort estimation for AI-assisted software development is calculated by integrating human and AI agent contributions, task complexities, and confidence levels. It produces probabilistic effort ranges and cost estimates using PERT statistics.

What are confidence bands in project effort prediction?▼

Confidence bands in effort prediction are probabilistic ranges calculated using PERT statistics. They account for variability in task complexity and AI agent contributions, providing realistic project timelines for probabilistic planning.

How do calibration feedback loops improve effort prediction accuracy?▼

Calibration feedback loops improve effort prediction accuracy by logging actual development effort against initial estimates. This historical data statistically calibrates future predictions, refining confidence bands over time.

Can I use PERT estimation for hybrid human and AI agent workflows?▼

PERT estimation is fully compatible with hybrid human and AI agent workflows. It calculates effort ranges by accounting for both human and AI contributions, making it suitable for resource management in AI-assisted projects.

Do I need specific project management tools for PERT-based effort estimation?▼

No specific project management tools are required for PERT-based effort estimation. The Skill outputs formatted data compatible with diverse project management systems, allowing seamless integration into your existing workflows.

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