task-estimation_skill

This skill helps teams estimate software development tasks using story points, planning poker, and t-shirt sizing to improve sprint planning accuracy.
  • Shell

24

GitHub Stars

2

Bundled Files

3 weeks ago

Catalog Refreshed

2 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstart where the catalogue uses aiagentskills.

npx veilstart add skill supercent-io/skills-template --skill task-estimation

  • SKILL.md5.0 KB
  • SKILL.toon400 B

Overview

This skill estimates software development tasks using proven agile techniques like story points, planning poker, and T-shirt sizing. It helps teams produce relative, consensus-driven estimates for sprints, roadmaps, and resource planning. The skill includes risk and uncertainty adjustments and a template for clear estimation documentation.

How this skill works

It guides teams through relative estimation using a Fibonacci-based story points scale (1,2,3,5,8,13,21+) and quick T-shirt sizing for early backlog triage. Use planning poker to surface assumptions and reach team consensus through rounds of discussion and re-voting. The skill also applies simple buffers for risk and uncertainty to convert base estimates into adjusted final estimates and provides a markdown template for recording outcomes.

When to use it

  • Sprint planning to pick work for the next iteration
  • Roadmap refinement and long‑term planning
  • Initial backlog triage when fast, directional estimates are needed
  • Resource and capacity planning based on team velocity
  • When a story feels large (13+ points) and should be split

Best practices

  • Estimate relatively, not in absolute hours — use story points or sizes
  • Always aim for team consensus via planning poker or group discussion
  • Break down anything 13 points or larger into smaller stories
  • Reference past similar stories and team velocity when planning
  • Apply a risk and uncertainty buffer rather than strict add‑ons

Example use cases

  • Estimate a new feature composed of frontend UI, API, and tests with a 5-point breakdown
  • Quickly size a backlog during roadmap planning using T-shirt categories (S/M/L)
  • Run planning poker for a complex story to reveal differing assumptions and resolve them
  • Adjust estimates for a medium-risk task by applying a 1.3x risk buffer and uncertainty factor
  • Split an epic (21+ points) into smaller user stories before sprint assignment

FAQ

Story points represent relative complexity, effort, and uncertainty compared to other backlog items, not absolute time.

How should I handle high uncertainty?

Apply an uncertainty multiplier and increase the risk buffer; consider splitting the story or adding spike tasks to reduce unknowns.

When is T-shirt sizing appropriate?

Use T-shirt sizing for early backlog grooming, quick prioritization, or when you need rough, high‑level estimates.

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