mcpField
R
rice

rice

github.com/neurofooProductivity122108 installsUpdated 40w ago
Repository

About rice

A RICE prioritization skill that scores initiatives by Reach, Impact, Confidence, and Effort, then ranks them with explicit assumptions. It also highlights sensitivity to estimates and factors the model does not capture.

Key features

  1. 01Define prioritization context
  2. 02Estimate four RICE factors
  3. 03Calculate and rank scores
  4. 04Document scoring assumptions
  5. 05Review sensitivity and limitations

Use cases

  1. 01Rank product initiatives
  2. 02Compare proposals against a time horizon
  3. 03Make estimation assumptions explicit
  4. 04Identify risks outside the RICE score

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/neurofoo/agent-skills --skill rice

After installing, type/ricein Claude Code to confirm it loaded.

Details

From the project README

RICE Prioritization Scoring

Score and rank initiatives using Reach, Impact, Confidence, and Effort to make prioritization decisions more objective.

Instructions

For each initiative, estimate the four RICE factors, calculate the score, and rank them. Be explicit about assumptions behind each estimate.

Output Format

Context What are we prioritizing? What's the time horizon for Reach?

Factor Definitions

  • Reach: [Define for this context, e.g., "users affected per quarter"]
  • Impact: [Define for this context, e.g., "effect on conversion rate"]
  • Effort: [Define unit, e.g., "engineer-weeks"]

Scoring Table

InitiativeReachImpactConfidenceEffortRICE Score
[Name A][#][0.25-3][%][#][calculated]
[Name B][#][0.25-3][%][#][calculated]
[Name C][#][0.25-3][%][#][calculated]

Ranked Results

  1. [Highest score] — RICE: X
  2. [Second] — RICE: X
  3. [Third] — RICE: X

Detailed Breakdown

For each initiative:

[Initiative Name]
  • Reach: [X] — [Assumption: how did you estimate this?]
  • Impact: [X] — [Reasoning for impact level]
  • Confidence: [X%] — [What would increase confidence?]
  • Effort: [X] — [What's included in this estimate?]
  • RICE Score: (R × I × C) / E = [score]

Sensitivity Analysis Which scores would change significantly if assumptions are wrong?

Recommendation Based on the scores and analysis:

[What to prioritize and why, including any caveats]

What RICE Doesn't Capture

  • Strategic alignment
  • Dependencies
  • Team capability gaps
  • Technical risk

Scoring Guide

Impact Scale

ScoreMeaning
3Massive — core value prop
2High — significant improvement
1Medium — noticeable improvement
0.5Low — minor enhancement
0.25Minimal — nice to have

Confidence Scale

ScoreMeaning
100%High — have data
80%Medium — reasonable estimate
50%Low — mostly guessing

$ARGUMENTS

Comments

Markdown supported