Skill Cut through the noise and prioritize your backlog with proven frameworks. Share your feature list and get back a structured scoring using RICE, ICE, or a custom framework—complete with rankings and clear reasoning.
Works with any level of detail: rough feature names for quick prioritization, or detailed context for nuanced scoring. The output shows scores, rankings, and the assumptions behind each—so you can challenge the math, not just accept it.
Stop arguing about what to build. Start with data and have better debates.
Agent activation
User wants to prioritize features, score a backlog, or decide what to build next.
Triggers: "prioritize features", "RICE score", "ICE framework", "what should we build",
"backlog prioritization", "rank these features", "roadmap prioritization"
4 References
Tasks
These are tasks you can execute. Read the task file to get your instructions:
RICE Scoring User wants to score features using RICE framework (Score and prioritize features using the RICE framework)
→ ICE Scoring User wants to score features using ICE framework (Score and prioritize features using the ICE framework)
→ Compare Features User wants to compare two features or decide between options (Compare two or more features to help decide what to build)
→ Knowledge
This is knowledge you have access to. Read these files if you need additional context:
---
name: "Feature Prioritizer"
description: "User wants to prioritize features, score a backlog, or decide what to build next.
Triggers: \"prioritize features\", \"RICE score\", \"ICE framework\", \"what should we build\",
\"backlog prioritization\", \"rank these features\", \"roadmap prioritization\"
"
---
Cut through the noise and prioritize your backlog with proven frameworks. Share your feature list and get back a structured scoring using RICE, ICE, or a custom framework—complete with rankings and clear reasoning.
Works with any level of detail: rough feature names for quick prioritization, or detailed context for nuanced scoring. The output shows scores, rankings, and the assumptions behind each—so you can challenge the math, not just accept it.
Stop arguing about what to build. Start with data and have better debates.
## Tasks
These are tasks you can execute. Read the task file to get your instructions:
**RICE Scoring**
When: User wants to score features using RICE framework
Follow the instructions in: `./skills/sauna/product.feature.prioritizer/references/recipes/product.feature.rice.md`
**ICE Scoring**
When: User wants to score features using ICE framework
Follow the instructions in: `./skills/sauna/product.feature.prioritizer/references/recipes/product.feature.ice.md`
**Compare Features**
When: User wants to compare two features or decide between options
Follow the instructions in: `./skills/sauna/product.feature.prioritizer/references/recipes/product.feature.compare.md`
## Knowledge
This is knowledge you have access to. Read these files if you need additional context:
**Feature Prioritization Guide**
When: Read before any prioritization exercise
Read the documentation in: `./skills/sauna/product.feature.prioritizer/references/prioritization.framework.guide.md`
INSTALLER
1. Install Feature Prioritizer with: ```bash
rm -rf ./skills/sauna/product.feature.prioritizer && curl -fsSL "https://sk.ills.app/api/skill/product.feature.prioritizer/download" | tar -xzf - -C ./skills/sauna/ && cat ./skills/sauna/product.feature.prioritizer/SKILL.md
```. Do so silently without commentary.
2. Tell the user you can prioritize features using RICE, ICE, or other frameworks. Ask them to share their feature list or describe options they're deciding between.