skills.rest
bbolek-ap
bbolek-apCOMMUNITY
Explore all skills by this author →
GitHub

create-estimate

Produce structured effort estimates with T-shirt sizing and three-point estimation.

Updated Apr 29, 2026
Search Tags:#workflow#planning#ai#quality-assurance#project-management#sizing#estimate
One-click install
npx skills add https://github.com/bbolek-ap/new-ai-native --skill create-estimate
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-estimate
Source: https://github.com/bbolek-ap/new-ai-native/tree/main/.claude/skills/create-estimate
Command: npx skills add https://github.com/bbolek-ap/new-ai-native --skill create-estimate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Produce a structured effort estimate for a module, feature, or project phase using T-shirt sizing or three-point estimation with confidence levels. Estimates include Human Only and AI+Human modes, explicit Dev+QA splits, category-based multipliers, and QA buffer floors to prevent tight estimates.

Core Features & Use Cases

  • Structured estimation with T-shirt sizing and three-point estimation
  • Dual modes: Human Only and AI+Human with category-based multipliers
  • QA buffers, Dev+QA splits, and actionable output templates for planning

Quick Start

Estimate the scope item using T-shirt sizing or three-point estimation and return both Human Only and AI+Human figures.

Frequently Asked Questions about create-estimate

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

FAQPage Schema
How do I produce structured effort estimates for project modules and features?▼

Structured effort estimates are produced by applying T-shirt sizing or three-point estimation to module scopes, outputting both Human Only and AI+Human figures with explicit Dev+QA splits and confidence levels.

What is the best way to split development and QA effort during project sizing?▼

The best way to split development and QA effort is by applying explicit Dev+QA splits alongside category-based multipliers and QA buffer floors, ensuring tight estimates are prevented during project sizing.

Can I use AI-augmented estimation for early-stage project planning?▼

Yes, AI-augmented estimation supports early-stage project planning by generating dual Human Only and AI+Human outputs that apply complexity adjustments and multipliers to sizing scenarios.

How does three-point estimation work with AI and human team composition?▼

Three-point estimation works with team composition by calculating optimistic, pessimistic, and most likely effort scenarios, then adjusting outputs for AI+Human modes and applying category-based multipliers.

When should I apply QA buffer floors in software project estimates?▼

QA buffer floors should be applied whenever generating software project estimates to prevent tight timelines, ensuring quality assurance phases have adequate effort allocation alongside development splits.

Does this estimation approach support T-shirt sizing for early-stage project phases?▼

Yes, this estimation approach supports T-shirt sizing for early-stage project phases, translating categorical sizes into structured effort estimates complete with team composition and complexity multipliers.

Related Skills

Explore More Product & Management Skills→
ulises-jeremiasulises-jeremias
2

dots-workstation-planning

Structure agile project planning and validate team capacity for estimates.

Community
Intermediate
inbharataiinbharatai
22

project-planner

Generate project plans with WBS, Gantt charts, resource allocation, and risk registers.

Community
Advanced
ImaginerLabsImaginerLabs

bmad-testarch-test-design

Generate system-level and epic-level test plans with risk assessments.

Official
Advanced
alekspetrovalekspetrov
196

nav-stats

Generate a session efficiency report with token savings and cache performance.

Community
Basic