Individual skill

rice-prioritisation

Scores and ranks product initiatives using the RICE framework. Use when asked to prioritise features, rank a backlog using RICE, score initiatives for quarterly planning, or apply an objective framework to a list of competing ideas. Produces a ranked RICE table with scores, quick wins and moonshot flags, dependency notes, and a recommended sequencing order.

skills/rice-prioritisation/SKILL.md

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Repository stars (not skill ratings): 1,539
Repository last updated: Nov 10, 2026
License: MIT

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product-management Repository topic
productivity Repository topic
skills Repository topic
claude-skills Repository topic
agent-skills Repository topic
chatgpt Repository topic
claude-code Repository topic
cursor Repository topic
gemini Repository topic
prompt-engineering Repository topic
productivity Derived category
productivity-notes Derived category

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SKILL.mdcore · 9,373 bytes
references/estimate-calibration.mddoc · 3,297 bytes
references/worked-example.mddoc · 6,297 bytes
scripts/rice_calculator.pyruns · 6,126 bytes
templates/scoring-worksheet.mddoc · 1,689 bytes

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# RICE Prioritisation Skill

Apply consistent, criteria-based RICE scoring to a list of features or initiatives to produce an objective prioritisation ranking.

## Reads from / Writes to the Brain

If a [`professional-brain`](../professional-brain/SKILL.md) (`brain/`) exists, ground in it instead of re-asking for what you already know:

- **Read first:** `knowledge/strategy.md` (so the ranking serves the direction), the items as `entities/`, and impact `hypotheses/`. Run `python3 ../professional-brain/scripts/brain_query.py ./brain "<initiative theme>"` and carry each fact's provenance tag through — an impact estimate is usually a `[hunch]`, not `[data]`.
- **📥 Propose to the Brain:** after producing, propose recording the ranking decision to `decisions/` and the reach/impact estimates as `hypotheses/` tagged by evidence strength. Show them, get a yes, then write with `../professional-brain/scripts/brain_write.py … --commit` (append-only, dry-run by default).

## Required Inputs

Work from what is given. If any of these is missing, still produce the complete output: fill each gap with a reasonable assumption marked *(assumed, confirm)* and list those assumptions at the end. Ask a question first only when the core subject itself is missing (there is nothing to write about).