prioritization-effort-impact SKILL.md skillA

prioritization-effort-impact from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nicepkg/ai-workflow/prioritization-effort-impact@git:20260118.be84779

Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nicepkg/ai-workflow
Path
workflows/product-manager-workflow/.claude/skills/prioritization-effort-impact/SKILL.md
Versions recorded
1
Latest version
git:20260118.be84779, committed Jan 18, 2026
Size
11,879 bytes
Repository stars
291
License
MIT

Use when ranking backlogs, deciding what to do first based on effort vs impact (quick wins vs big bets), prioritizing feature roadmaps, triaging bugs or technical debt, allocating resources across initiatives, identifying low-hanging fruit, evaluating strategic options with 2x2 matrix, or when user mentions prioritization, quick wins, effort-impact matrix, high-impact low-effort, big bets, or asks "what should we do first?".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Prioritization: Effort-Impact Matrix

## Table of Contents
1. [Purpose](#purpose)
2. [When to Use](#when-to-use)
3. [What Is It?](#what-is-it)
4. [Workflow](#workflow)
5. [Common Patterns](#common-patterns)
6. [Scoring Frameworks](#scoring-frameworks)
7. [Guardrails](#guardrails)
8. [Quick Reference](#quick-reference)

## Purpose

Transform overwhelming backlogs and option lists into clear, actionable priorities by mapping items on a 2x2 matrix of effort (cost/complexity) vs impact (value/benefit). Identify quick wins (high impact, low effort) and distinguish them from big bets (high impact, high effort), time sinks (low impact, high effort), and fill-ins (low impact, low effort).

## When to Use

**Use this skill when:**

- **Backlog overflow**: You have 20+ items (features, bugs, tasks, ideas) and need to decide execution order
- **Resource constraints**: Limited time, budget, or people force trade-off decisions
- **Strategic planning**: Choosing between initiatives, projects, or investments for quarterly/annual roadmaps
- **Quick wins needed**: Stakeholders want visible progress fast; you need high-impact low-effort items
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nicepkg/ai-workflow/prioritization-effort-impact@sha256:3cada32528c85e6d

The line at the top of this page pins the label git:20260118.be84779, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_yram2moqmzxmk4vi.svg)](https://markdownregistry.com/a/art_yram2moqmzxmk4vi)

6 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jan 18, 2026.

versioncommittedcommitsizeaudit
git:20260118.be84779 latest2026-01-18 be84779 11,879 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11879 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nicepkg/ai-workflow · 291 stars · license MIT · pushed 2026-01-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yram2moqmzxmk4vi
GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/prioritization-effort-impact
GET https://markdownregistry.com/api/v1/blob/3cada32528c85e6de8d5e6effb56b1bb22bbbeaa04c35fb288cd6968a32ac2ae

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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