neurofoo/agent-skills/rice
Claude Code and agent skill by neurofoo/agent-skills
- community
Checking that the SKILL.md file is still in the repository.
RICE prioritization scoring initiatives by Reach, Impact, Confidence, and Effort. Use for feature prioritization, roadmap planning, or when comparing initiatives objectively.
Install
npx vskill@latest install neurofoo/agent-skills/riceSKILL.md
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
| Initiative | Reach | Impact | Confidence | Effort | RICE Score | |
|---|---|---|---|---|---|---|
| [Name A] | [#] | [0.25-3] | [%] | [#] | [calculated] | |
| [Name B] | [#] | [0.25-3] | [%] | [#] | [calculated] | |
| [Name C] | [#] | [0.25-3] | [%] | [#] | [calculated] |
Ranked Results
- [Highest score] — RICE: X
- [Second] — RICE: X
- [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
| Score | Meaning | |
|---|---|---|
| 3 | Massive — core value prop | |
| 2 | High — significant improvement | |
| 1 | Medium — noticeable improvement | |
| 0.5 | Low — minor enhancement | |
| 0.25 | Minimal — nice to have |
Confidence Scale
| Score | Meaning | |
|---|---|---|
| 100% | High — have data | |
| 80% | Medium — reasonable estimate | |
| 50% | Low — mostly guessing |
$ARGUMENTS
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingrice/SKILL.md
Popularity
- Repository stars
- 48
- Repository forks
- 5
- 7-day trend score
- 19
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 18 Mar 2026, 7 months ago.
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