This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfeature-prioritization-assistantExecute the skills CLI command in your project's root directory to begin installation:
Fetches feature-prioritization-assistant from pmprompt/claude-plugin-product-management and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate feature-prioritization-assistant. Access via /feature-prioritization-assistant in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.
Helps you systematically evaluate and prioritize features using the RICE framework (Reach, Impact, Confidence, Effort), providing scores and recommendations.
Help me prioritize these features using the RICE framework. For each feature, help me estimate:
Then calculate the RICE score: (Reach × Impact × Confidence) / Effort
Features to evaluate: [List your features with any context you have]
Input: 5 features (notifications, dark mode, API access, mobile app, analytics dashboard) Output: RICE scores calculated for each, ranked list with reasoning, recommendations on which to prioritize, and suggestions for validating assumptions on low-c...
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: feature-prioritization-assistant is focused, and the summary matches what you get after install.
Registry listing for feature-prioritization-assistant matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend feature-prioritization-assistant for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in feature-prioritization-assistant — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for feature-prioritization-assistant matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: feature-prioritization-assistant is focused, and the summary matches what you get after install.
I recommend feature-prioritization-assistant for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for feature-prioritization-assistant matched our evaluation — installs cleanly and behaves as described in the markdown.
feature-prioritization-assistant has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in feature-prioritization-assistant — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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