AI Skills

Assess and improve reliability of Azure Functions and App Service with zone redundancy, storage, health probes, and multi-region failover checks.

Apply psychological principles and behavioral science to understand why people buy and influence decisions ethically.

Query metrics, logs, and traces across Azure Monitor, Application Insights, and Log Analytics.

Plan what content to create by mapping topics to buyer stages and search intent.

Firebase CLI setup, authentication, and project management for agent workflows

Build SEO-optimized pages at scale using templates and data-driven patterns.

Command-line interface for Sentry issue tracking, event exploration, and API access.

Set up Firebase Authentication for user sign-in, management, and secure data access.

GSAP animation reference for HyperFrames compositions with timelines, easing, and performance optimization.

Deploy static web apps, SPAs, and microservices to Firebase Hosting with a single command.

139 proven marketing strategies and tactics for SaaS products at any stage.

Deploy full-stack Next.js and Angular apps with Firebase App Hosting.

Build and deploy PostgreSQL-backed Firebase backends with GraphQL, auto-generated queries, and type-safe SDKs.

Generate multiple radically different interface designs using parallel sub-agents to explore API options.

Capture a website and create professional HyperFrames videos from it.

Plan and document refactors as detailed GitHub issues with tiny, safe commits.

Review code changes against documented standards and spec requirements in parallel.

Systematically improve existing marketing copy through seven focused editing passes.

Extract and formalize domain terminology into a DDD-style ubiquitous language glossary.

Final quality pass fixing alignment, spacing, consistency, and micro-details before shipping.

Interactive QA session that converts user bug reports into well-structured GitHub issues with codebase context.

Read-only analysis of deep learning repositories to understand structure, configs, and suspicious patterns.

Auditable deep learning research exploration with idea gating, fair comparison, and governed experiments.

Auditable exploratory code modifications for deep learning research on isolated branches with rollback tracking.

README-first deep learning repository reproduction with auditable evidence and standardized outputs.

Resolve reproduction-critical paper details when README and repo files leave gaps.

Conservative diagnosis and minimal patching for deep learning training failures without automatic code mutation.

Execute and document deep learning training runs with reproducibility and status tracking.

README-first repository scanner for deep learning reproduction planning.

Prepare conda environments and asset paths for README-documented deep learning repo reproduction.