Alireza Rezvani

Design SaaS cancellation flows, match retention offers to exit reasons, and prepare payment retry schedules and recovery emails. Get flow copy, survey options, email templates, and metrics for reviewing cancellations and failed payments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a cancellation flow
• Matching retention offers to exit reasons
• Preparing failed-payment recovery emails

Write and improve B2B outreach emails to new prospects, with relevant opening lines, subject options, and one clear request. Build follow-up sequences with sending intervals, or use performance data and a scoring script to identify revisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a first outreach email to a new business prospect
• Building follow-up emails with distinct angles and sending intervals
• Rewriting an overly promotional sales email

Review GitHub pull requests and GitLab merge requests for security, test gaps, compatibility, and performance risks. Trace affected code and services, then produce a prioritized report with suggested fixes and a structured review checklist.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing shared libraries and API changes before merging
• Organizing feedback on large pull requests
• Checking authentication and payment code changes

Suggest or assess company, brand, and product names that reflect a founder's cultural roots and suit their target markets. Compare meanings, pronunciation, spelling, distinctiveness, and professional tone, with clear follow-up checks before committing to a name.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding names rooted in a founder's culture
• Checking how a name reads in overseas markets
• Comparing pronunciation and spelling across languages

Generate an operational runbook template from a service name. Provide sections for starting, stopping, health checks, incident handling, maintenance, and rollback, so teams can add service-specific commands and build consistent operating procedures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an initial runbook for a new service
• Standardizing incident procedures across teams
• Preparing documentation for on-call onboarding

Set shared brand colors, fonts, layout style, and table of contents behavior for markdown-html outputs. A guided setup checks text and link contrast, derives twelve reusable CSS settings, and saves preferences globally or per project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting a shared style for HTML documents and slides
• Checking text and link color contrast
• Saving a separate brand style for a project

Design service monitoring dashboards and improve existing alert configurations. Generate Grafana dashboard files and documentation, analyze noisy or duplicate alerts and coverage gaps, and outline how metrics, logs, and request traces fit together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing monitoring for a new service
• Reducing noisy and duplicate alerts
• Creating Grafana dashboards for different roles

Plan Azure infrastructure around application needs, scale, and budget. Generate Bicep templates, files that define cloud resources as code, then review estimated costs, configure deployment pipelines, and check security settings before production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning Azure infrastructure for a web app
• Choosing services for microservices or event-driven processing
• Generating Bicep templates and deployment pipelines

Assess web applications, APIs, and infrastructure for security weaknesses through authorized testing. The skill guides code review, dependency and secret scanning, targeted vulnerability checks, and report creation with evidence, severity ratings, and remediation priorities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check a web application against the OWASP Top 10
• Test API authentication and access controls
• Scan dependencies and Git history for security risks

Build visual AI systems that detect objects or divide images into labeled regions. This skill guides dataset preparation, model selection, training, evaluation, inference optimization, and deployment using frameworks such as PyTorch and Ultralytics.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an object detection pipeline
• Clean images and convert annotation formats
• Optimize a trained model for deployment

Scan API route definitions and generate test files for authentication, input validation, error responses, pagination, uploads, and rate limits. Supports Next.js App Router, Express, FastAPI, and Django REST, with Node and Python test outputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating test scaffolds for a new API
• Adding baseline tests to an existing API
• Checking API behavior against current route definitions

Compares frameworks, libraries, and cloud providers using weighted criteria. Helps teams choose technologies with estimates of five-year total ownership costs, security assessments, community health indicators, and migration effort, risks, and timelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing frameworks for a new project
• Estimating five-year technology ownership costs
• Assessing migration effort and risks

Organize responses to service outages and degraded performance, from initial assessment through recovery review. Classify severity, reconstruct event timelines, draft stakeholder updates, and create response guides and follow-up actions based on incident findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classify outage severity and plan initial response
• Reconstruct an incident timeline from scattered events
• Draft incident updates for customers and internal teams

Plan authorized security exercises that simulate attackers reaching important assets. Organize techniques into attack stages, rank effort and detection risk, identify shared points across attack paths, and use findings to assess detection and response coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a security exercise with written authorization
• Compare attack paths to critical assets
• Find shared attack steps to prioritize monitoring

Build Playwright workflows for collecting website data, filling forms, and saving screenshots or PDFs. Covers multi-page extraction, saved login sessions, and recovery from failures, with script generators for scraping and form automation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collect product data across multiple pages
• Automate forms and report downloads after login
• Save web pages as screenshots or PDFs

Design systems that collect, transform, and store data. Choose between scheduled and continuous processing, generate workflow configurations, validate data quality, and analyze performance using guidance for tools including Python, SQL, Spark, Airflow, dbt, and Kafka.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing data ingestion and transformation pipelines
• Choosing scheduled or real-time data processing
• Checking data freshness, completeness, and uniqueness

Capture an entire web page as a PNG, including content below the visible screen. Handle internal scrolling areas and images that load during scrolling, with tiled capture for very tall pages and support for already-open tabs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving an entire article as an image
• Capturing a dashboard with internal scrolling
• Capturing a page in an already signed-in tab

Assess detected security events by checking false positives, assigning incident types and severity levels, and identifying escalation routes. Guide initial response and forensic evidence collection, including records of who collected, held, and transferred each evidence item.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classifying security alerts during initial response
• Checking false positives before escalation
• Planning evidence collection and custody records

Prepare trained machine learning models for production with deployment, monitoring, and retraining workflows. Build RAG systems that retrieve documents for answers, and integrate language model APIs with retries, fallback providers, and cost tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying a trained model to production
• Setting up model monitoring and retraining workflows
• Building a RAG pipeline for document-based answers

Reviews code changes through documented engineering and product principles associated with named practitioners. Combines two engineering perspectives and one product perspective to produce findings with severity, attribution confidence, and technical reasoning for architecture, performance, or user experience issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing architecture or public API changes
• Checking user experience alongside code correctness
• Strengthening a pull request before submission

Choose a web application stack, generate a starter project, and assess existing code quality. Uses team size, release frequency, audience, and budget to guide recommendations, with reports covering security, complexity, dependencies, and prioritized improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating a starter project for a web application
• Choosing a technology stack within team and budget constraints
• Reviewing code security and complexity

Design Google Cloud infrastructure around application needs, scale, and budget. Get service recommendations, cost estimates, infrastructure configuration files, and deployment guidance, with support for automated delivery and security configuration reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a mobile backend on Cloud Run
• Planning a SaaS architecture on GKE
• Building an event analytics pipeline with BigQuery

Build automated emails for account registration, invoices, and notifications, from reusable templates to delivery service integration. Includes local previews, multilingual content, dark mode styling, and checks for delivery issues and tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add registration and password reset emails
• Migrate to another email delivery provider
• Add multilingual content and dark mode

Manage parallel feature development with Git worktrees, separate working folders for different branches. Assign distinct ports, copy environment files, optionally install dependencies, and check for uncommitted changes and merged branches before removing outdated worktrees.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop several feature branches at the same time
• Prepare a separate workspace for an urgent hotfix
• Give each AI agent its own branch and working folder