Feature Prioritization Assistant
This assistant helps you prioritize features based on impact and effort, streamlining product development and maximizing value delivery.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add feature-prioritization-assistant npx -- -y @trustedskills/feature-prioritization-assistant
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"feature-prioritization-assistant": {
"command": "npx",
"args": [
"-y",
"@trustedskills/feature-prioritization-assistant"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The feature-prioritization-assistant skill helps product managers and teams evaluate, rank, and sequence features based on strategic criteria. It analyzes input data to provide structured recommendations for what to build next, ensuring alignment with business goals.
When to use it
- You need to decide which of several competing ideas deserves immediate development resources.
- Your team requires an objective framework to weigh feature value against implementation complexity.
- You are preparing a roadmap presentation that needs data-driven justification for specific feature selections.
- Stakeholders disagree on priorities, and you need a neutral analysis to facilitate consensus.
Key capabilities
- Evaluates features against defined strategic criteria.
- Ranks items based on calculated value and effort.
- Generates structured prioritization frameworks.
- Provides actionable sequencing recommendations for roadmaps.
Example prompts
- "Analyze these five feature requests using the RICE scoring model and rank them by potential impact."
- "Prioritize our backlog of 20 items based on customer urgency and technical feasibility constraints."
- "Create a prioritization matrix for Q4 features considering both revenue goals and user retention metrics."
Tips & gotchas
Ensure you provide clear criteria or scoring models (e.g., RICE, MoSCoW) in your prompt to guide the assistant's analysis. The output is most effective when paired with specific constraints regarding team capacity or technical debt.
Tags
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