What do I need to use RICE Prioritisation?

List of initiatives or features to score; Reach estimates; Impact estimates; Effort estimates; Quarter or planning period.

Is RICE Prioritisation free to use?

Yes — run it free in the browser playground (no API key needed for the sponsored trial, or bring any provider key), or install it into Claude Code, Cursor, ChatGPT and more via npx pm-claude-skills. MIT-licensed and open source.

RICE Prioritisation

Q: How do I know the RICE Prioritisation output is good?

The skill verifies itself against its own quality checks: Every initiative has all four RICE components estimated (even roughly); Confidence is 50% for anything without data backing (not 100% as a default); Quick wins and moonshots are explicitly called out; Dependencies that affect sequencing are noted.

🟢 Production-Ready🕐 updated 2026-08-08 ✅ 4.8/5 🔷 SkillSpec L3 ⚙ ships an executable helper pm-planning

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.

📚 Based on RICE scoring framework (Intercom)

▶ Run it free — no key needed 📝 Grade your existing draft View SKILL.md ↗

What to give it

▸List of initiatives or features to score — names and brief descriptions

▸Reach estimates — users affected per quarter — from analytics if available

▸Impact estimates — use the standard scale below

▸Effort estimates — person-months — from engineering if available

▸Quarter or planning period

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

✓Every initiative has all four RICE components estimated (even roughly)

✓Confidence is 50% for anything without data backing (not 100% as a default)

✓Quick wins and moonshots are explicitly called out

✓Dependencies that affect sequencing are noted

✓Any surprising ranking is investigated before accepting it

⚠️ What it refuses to do

Do not default to 100% confidence on estimates that lack supporting data — this inflates scores and misleads planning

Do not treat RICE scores as a final decision — a ranking that surprises the team must be investigated before it is accepted

Do not omit effort estimates from engineering — PM-only effort estimates are frequently optimistic and skew results

Do not forget to note dependencies that would change the sequencing even if RICE scores suggest otherwise

Do not score every initiative at the same impact level — if everything is "high impact," the framework produces no useful signal

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

Example output

Input: Rank for next quarter: 1) Onboarding redesign — ~5000 users/qtr, big activation impact, ~3 person-months. 2) Dark mode — ~8000 users want it, low impact, ~1 person-month. 3) SSO for enterprise — ~400 accounts, high deal impact, ~4 person-months, low confidence. · representative example (hand-written)

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💬 Discussion

RICE Prioritisation is one of 1078 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog