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pert-estimation

Compute PERT-based effort estimates with E, σ, and phase breakdowns.

Updated Aug 23, 2026
Search Tags:#planning#qa#estimation#risk#project-management#pert
One-click install
npx skills add https://github.com/sandeep-singh-79/QE_RFP_OS_Agents_Skills --skill pert-estimation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pert-estimation
Source: https://github.com/sandeep-singh-79/QE_RFP_OS_Agents_Skills/tree/main/.claude/skills/pert-estimation
Command: npx skills add https://github.com/sandeep-singh-79/QE_RFP_OS_Agents_Skills --skill pert-estimation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PERT-based effort estimation provides defensible, variance-aware sizing for QA initiatives by combining optimistic, most-likely, and pessimistic inputs with tier- and phase-based breakdowns. It enables explicit assumptions and structured outputs suitable for governance and client proposals.

Core Features & Use Cases

  • Variance-aware estimation using the PERT formula (O, M, P) with computed E and σ.
  • Tier and complexity categorization with phase allocation to ensure realistic effort planning.
  • Composable sub-skill usage within estimation-sizing-thinking to deliver sizing detail when needed.
  • Structured outputs: scope summary, test-case table, phase breakdown, assumptions, and confidence qualifiers.

Quick Start

Provide baseline O, M, P for the target test tiers and project phases to generate an E ± σ range and a full phase breakdown.

Frequently Asked Questions about pert-estimation

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

FAQPage Schema
How do I calculate variance-aware QA effort estimates using PERT?▼

PERT estimation calculates variance-aware QA effort by combining optimistic, most-likely, and pessimistic inputs to compute expected effort (E) and standard deviation (σ) across test tiers and project phases.

What is the best way to break down QA project phases for effort sizing?▼

Break down QA effort sizing by applying tier-based complexity across project phases, generating a structured phase breakdown with explicit assumptions and confidence qualifiers for governance and client proposals.

How do I generate defensible QA estimates for client proposals?▼

Generate defensible QA estimates for client proposals by applying a configurable multiplier chain across Upfront, Inference, and Capacity estimation modes, returning structured outputs with explicit assumptions and confidence qualifiers.

Can I use PERT estimation for upfront QA planning without historical data?▼

Yes, PERT estimation supports Inference and Capacity modes alongside Upfront planning, allowing you to size QA initiatives using baseline optimistic, most-likely, and pessimistic inputs even without extensive historical data.

Does PERT estimation integrate with broader project management sizing workflows?▼

Yes, PERT estimation integrates as a composable sub-skill within estimation-sizing-thinking workflows, delivering detailed E ± σ ranges and phase breakdowns suitable for downstream project management governance.

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