Development skills

Recommends ways to reduce the environmental impact of Google Cloud workloads through efficient architecture, low-carbon regions and emissions tracking.

Deploys Model Garden models to Google Agent Platform endpoints, checks operations, estimates costs and cleans up deployed resources.

Manages Google Cloud Agent Platform prompts by listing, retrieving, creating, versioning and deleting prompt resources through Python.

Fine-tunes open and Gemini models on Google Agent Platform, guiding environment setup, dataset validation, job configuration, monitoring and deployment.

Manages Google Agent Platform RAG Engine corpora and grounds Gemini responses through the Vertex AI and Google GenAI Python SDKs.

Manages Google Cloud Agent Platform GenAI tuning jobs by listing runs, inspecting status and cancelling active jobs with confirmation.

Manages Google Cloud Agent Platform Model Registry models and versions, including listing, inspection, upload, metadata updates and deletion.

Evaluates and improves AI models and agents on Google Cloud with synthetic scenarios, rubric metrics, failure analysis and result comparison.

Connects Google Cloud Agent Platform to Gemini, Llama, DeepSeek and other models for authenticated inference through supported SDKs.

Guides smart contract projects through Trail of Bits' five-step security workflow, from Slither scans and feature checks to diagrams, properties and manual review.

Manages Google Cloud Agent Platform serving endpoints by listing, describing, creating, updating and deleting resources, with guidance for permissions, quotas and busy-resource errors.

Guides migration from Google AI Studio's Gemini API to Google Cloud Agent Platform, covering billing, authentication, SDKs and agent configuration.

Controls Unity Editors and projects from the Unity CLI, covering scene and asset edits, builds and tests, Editor installs, licences, version control and cloud automation.

Manages Google Cloud Workload Manager evaluations, rules, scanned resources and findings through public client libraries and the REST API.

Configures Google Cloud alerting policies for AI agents using OpenTelemetry metrics and generates Terraform for reliability, cost, safety and quality monitoring.

Plans and troubleshoots Google Kubernetes Engine upgrades, covering versions, release channels, node pools, maintenance windows and workloads.

Queries Ant Design APIs, demos, tokens and versions through its offline CLI, and analyses projects, lint issues and migrations.

Configures GKE observability with Cloud Logging, Cloud Monitoring and Managed Service for Prometheus, including metrics, alerts and troubleshooting.

Develops Base44 apps remotely through MCP or the Base44 CLI, with sandbox editing, previews, verification and checkpoints.

Develops Base44 apps remotely in the cloud sandbox, authoring functions, actors, entities, agents and connectors without a local checkout.

Reviews code changes with BMAD by running independent reviewers in parallel, then triaging and presenting their findings.

Guides Dart API documentation with Effective Dart rules for doc comments, linking, Markdown formatting and analysis verification.

Implements approved BMAD stories and code changes with test-first development, acceptance-criteria checks and verified delivery.

Turns delegated BMAD implementation work into code through a rendered workflow with review and verification for features, stories and bug fixes.