Receber por email
← Voltar para o catálogo

Autor no catálogo

borghei

338 skills 97.344 estrelas no total GitHub ↗

Skills publicadas

Mostrando 12 de 338

onboarding-cro

288

Post-signup user onboarding optimization covering activation metrics, time-to-value reduction, onboarding flow design, empty state optimization, multi-channel coordination, and stalled user recovery.

Pesquisa e Web #ai #python por borghei

proptech-advisor

288

Strategic advisory for proptech founders covering real-estate market segments (residential / commercial / industrial), MLS access and brokerage models, state-by-state real-estate licensing, and proptech business-model patterns (transaction, listing, financing, management, services). Use when scoping a proptech idea, classifying market segment, or when the user mentions proptech, real estate techno

DevOps e Infra #ai #python por borghei

north-star-metric

288

Define a North Star Metric (NSM) and its input metric tree, with leading indicators, anti-metrics, and counter-metrics. Includes a Python tool that renders the metric tree as a Mermaid diagram.

Pesquisa e Web #ai #python por borghei

apple-hig-expert

288

Apple Human Interface Guidelines expert for iOS, iPadOS, macOS, watchOS, tvOS, and visionOS. Covers platform-native patterns, navigation, typography, controls, gestures, accessibility, and the platform-specific conventions that make apps feel native. Use when designing or reviewing an Apple platform app, auditing for HIG compliance, picking the right native components, or validating accessibility

Design e Frontend #ai #python por borghei

content-production

288

Full content production pipeline from blank page to publish-ready piece. Covers competitive research, content briefs, drafting, SEO optimization, readability scoring, editorial quality gates, and internal linking. Use when writing blog posts, articles, guides, or long-form content end-to-end, or when user mentions write a post, draft an article, create content, content pipeline, editorial workflow

Escrita e Conteúdo #ai #python por borghei

aws-solution-architect

288

Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.

DevOps e Infra #ai #api por borghei

identify-assumptions

288

Assumption mapping expert that identifies, categorizes, and prioritizes product assumptions across 4-8 risk categories using devil's advocate analysis.

Pesquisa e Web #ai #python por borghei

senior-qa

288

This skill should be used when the user asks to "generate tests", "write unit tests", "analyze test coverage", "scaffold E2E tests", "set up Playwright", "configure Jest", "implement testing patterns", or "improve test quality". Use for React/Next.js testing with Jest, React Testing Library, and Playwright.

Pesquisa e Web #ai #python por borghei

cpo-advisor

288

Strategic product leadership for scaling companies. Covers product vision, portfolio strategy, product-market fit measurement, product org design, north star metrics, investment postures, and board-level product reporting. Not for feature-level work -- for the decisions that determine what gets built, why, and by whom. Use when setting product vision, managing a product portfolio, measuring PMF, d

Design e Frontend #ai #python por borghei

paywall-upgrade-cro

288

In-app paywall and upgrade screen optimization covering feature gate design, usage limit UX, trial expiration flows, upgrade trigger timing, save offer strategy, and ethical monetization patterns.

Design e Frontend #ai #python por borghei

docx-toolkit

288

Audit Microsoft Word (.docx) documents for word count, heading hierarchy, comments, tracked changes, broken cross-references, and style consistency. Use when reviewing a contract draft, preparing a document for handoff, enforcing a style guide, or when the user mentions Word document review, docx audit, comment cleanup, or tracked-changes resolution.

Documentos #ai #docx por borghei

senior-data-engineer

288

Use when designing data architectures, building batch or streaming pipelines, implementing data quality frameworks, optimizing ETL/ELT performance, working with Airflow/dbt/Spark/Kafka, or troubleshooting data pipeline failures. Provides pipeline generation, data quality validation, and SQL/Spark performance optimization.

Dados e Análise #ai #python por borghei