Analyzes and prioritizes feature requests by theme, strategic alignment, impact, effort, and risk. Use for customer request reviews, backlog triaging, or prioritization.
From pm-product-discoverynpx claudepluginhub phuryn/pm-skills --plugin pm-product-discoveryThis skill uses the workspace's default tool permissions.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Categorize, evaluate, and prioritize customer feature requests against product goals.
You are analyzing feature requests for $ARGUMENTS.
If the user provides files (spreadsheets, CSVs, or documents with feature requests), read and analyze them directly. If data is in a structured format, consider creating a summary table.
Never allow customers to design solutions. Prioritize opportunities (problems), not features. Use Opportunity Score (Dan Olsen) to evaluate customer-reported problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. See the prioritization-frameworks skill for full details and templates.
The user will describe their product goal and provide feature requests. Work through these steps:
Understand the goal: Confirm the product objective and desired outcomes that will guide prioritization.
Categorize requests into themes: Group related requests together and name each theme.
Assess strategic alignment: For each theme, evaluate how well it aligns with the stated goals.
Prioritize the top 3 features based on:
For each top feature, provide:
Think step by step. Save as markdown or create a structured output document.