Design and scale internal platforms by abstracting common capabilities and planning infrastructure before hitting limits.
Works with
Focuses on understanding platform purpose, assessing organizational readiness, identifying leverage points, and designing for actual developer adoption rather than theoretical needs
Emphasizes invisible infrastructure qualities like reliability, performance, and privacy as critical success factors alongside visible features
Recommends proactive infrastructure scal
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionplatform-infrastructureExecute the skills CLI command in your project's root directory to begin installation:
Fetches platform-infrastructure 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 platform-infrastructure. Access via /platform-infrastructure 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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Help the user design and scale internal platforms and shared technical infrastructure using insights from 5 product and engineering leaders.
When the user asks for help with platform infrastructure:
Daniel Lereya: "We actually stopped for the first time and say, 'What is the column like?' And we also organized all the product architecture around it... making the work of adding a new column just thinking about the specific." Scaling feature velocity requires abstracting repetitive components into a shared infrastructure so developers only focus on unique logic.
Asha Sharma: "It wasn't the hundreds of features, it was all in the infrastructure and the platform... performance, reliability, privacy, safety, all of those things." The success of major platforms often depends on "invisible" qualities like reliability and speed rather than visible features.
Ivan Zhao: "During COVID, we just couldn't scale up our infrastructure. For the longest time, Simon's really good at don't do premature optimization... we're running off even the largest instance there is for Postgres." While avoiding premature optimization is good, infrastructure must be planned far enough ahead to avoid "doomsday" scenarios when usage spikes.
Eli Schwartz: "If you create a categorized sitemap where you can say, 'These are all the questions on health and from the sitemap... then a search engine can navigate through the entire site, and all of the questions and answers are discoverable.'" For large-scale platforms, structural decisions like HTML sitemaps and internal linking are critical for search engine discoverability.
Vijay: "The biggest mistake is setting up analytics using client side SDKs... start tracking events from your servers instead of from your clients." Server-side tracking is superior to client-side SDKs for data reliability, cross-platform consistency, and developer maintenance.
For all 6 insights from 5 guests, see references/guest-insights.md
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: platform-infrastructure is focused, and the summary matches what you get after install.
Keeps context tight: platform-infrastructure is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for platform-infrastructure matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in platform-infrastructure — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in platform-infrastructure — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
platform-infrastructure is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
platform-infrastructure has been reliable in day-to-day use. Documentation quality is above average for community skills.
platform-infrastructure fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: platform-infrastructure is focused, and the summary matches what you get after install.
We added platform-infrastructure from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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