Frameworks for developing and coaching product managers using proven practices from top-company leaders.
Run in your terminal
Establishes competency models and definitions of \"good\" before attempting to develop any PM, ensuring coaching is contextual to company stage and needs
Uses Bloom's Taxonomy to diagnose where PMs fall on the critical thinking spectrum (knowledge through evaluation) and targets development accordingly
Provides a five-step coaching framework: define success, assess current state,
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncoaching-pmsExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/refoundai/lenny-skills --skill coaching-pmsFetches coaching-pms from refoundai/lenny-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:
Restart Cursor to activate coaching-pms. Access via /coaching-pmsin 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
Package manager
npx skills add https://github.com/refoundai/lenny-skills --skill coaching-pmsWorks with
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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
ailabs-393/ai-labs-claude-skills
mattpocock/skills
Solid pick for teams standardizing on skills: coaching-pms is focused, and the summary matches what you get after install.
Registry listing for coaching-pms matched our evaluation — installs cleanly and behaves as described in the markdown.
coaching-pms reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend coaching-pms for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for coaching-pms matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in coaching-pms — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
coaching-pms fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added coaching-pms from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
coaching-pms is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in coaching-pms — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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