# Rice

> RICE feature prioritization with scoring and capacity planning. Usage: /rice prioritize <features.csv> [options]

- Skill: `nous-hermeshub/rice` (Agent Skill)
- Install (CLI): `npx skillmds add nous-hermeshub/rice`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nous-hermeshub/rice/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- License: MIT
- Author: nous-hermeshub (https://skillmd.com/u/nous-hermeshub)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/nous-hermeshub/rice

---


# /rice

Prioritize features using RICE scoring (Reach, Impact, Confidence, Effort) with optional capacity constraints.

## Usage

```
/rice prioritize <features.csv>                              Score and rank features
/rice prioritize <features.csv> --capacity 20                Rank with effort capacity limit
```

## Input Format

```csv
feature,reach,impact,confidence,effort
Dark mode,5000,2,0.8,3
API v2,12000,3,0.9,8
SSO integration,3000,2,0.7,5
Mobile app,20000,3,0.5,13
```

## Examples

```
/rice prioritize features.csv
/rice prioritize features.csv --capacity 20
/rice prioritize features.csv --output json
```

## Scripts
- `product-team/skills/product-manager-toolkit/scripts/rice_prioritizer.py` — RICE prioritizer (`<input.csv> [--capacity N] [--output text|json|csv]`)

## Skill Reference
> `product-team/skills/product-manager-toolkit/SKILL.md`