Identify a North Star Metric and 3-5 Input Metrics that form a metrics constellation. Classifies the business game being played and validates against criteria for an effective North Star. Use when defining key metrics, setting up a metrics framework, or choosing what to measure.
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
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
Submit your Claude Code skill and start earning
epx add phuryn/pm-skills --skill north-star-metricCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnorth-star-metricExecute the skills CLI command in your project's root directory to begin installation:
epx add phuryn/pm-skills --skill north-star-metricFetches north-star-metric from phuryn/pm-skills 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:
.cursor/skills/north-star-metric
Restart Cursor to activate north-star-metric. Access via /north-star-metricin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
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.
travel-planner
ailabs-393/ai-labs-claude-skills · Productivity · same category
pwa-expert
erichowens/some_claude_skills · Productivity · same category
flutter-performance
flutter/skills · Productivity · same category
brand-name-generator
shipshitdev/library · Productivity · same category
filament-pro
marcelorodrigo/agent-skills · Productivity · same category
storyboard-manager
ailabs-393/ai-labs-claude-skills · Productivity · same category
north-star-metric has been reliable in day-to-day use. Documentation quality is above average for community skills.
north-star-metric is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: north-star-metric is focused, and the summary matches what you get after install.
Keeps context tight: north-star-metric is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: north-star-metric is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added north-star-metric from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
north-star-metric fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
north-star-metric fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added north-star-metric from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
north-star-metric fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
showing 1-10 of 37