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.
npx skills add mohitagw15856/pm-claude-skills --skill rice-prioritisation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 Ask the user for these if not provided: - **List of initiatives or features to score** (names and brief descriptions) - **Reach estimates** (users affected per quarter — from analytics if available) - **Impact
- Reads from / Writes to the Brain
- Required Inputs
- RICE Definitions (adapt to your context)
- RICE Formula
- Programmatic Helper
- Deeper Materials
- Process
- Output Structure
- RICE Prioritisation: [Backlog/Quarter]
- Scoring Rubric (0–40)
- Quality Checks
- Anti-Patterns
From a JSON file (confidence accepts 0.8 or 80)
python3 scripts/rice_calculator.py initiatives.json
Or from a CSV with header: name,reach,impact,confidence,effort
python3 scripts/rice_calculator.py initiatives.csv --format csv
Or piped in
echo '[{"name":"Onboarding","reach":5000,"impact":2,"confidence":0.8,"effort":3}]' \What does the rice-prioritisation skill do?
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.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill rice-prioritisation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.