Govern GCP Artifact Registry — container image signing via Binary Authorization, vulnerability scanning via Container Analysis, repository IAM least privilege, artifact retention…
Review GCP workload HA and BCDR designs — multi-region architectures, Cloud SQL HA failover, Spanner global instances, GKE multi-cluster, RTO/RPO target analysis, and runbook…
Query Asset Inventory API for resource discovery, audit resource label/tag coverage, detect stale or orphaned resources, review change history, and build inventory reports across…
Optimize Google Cloud Platform resource allocation and manage cloud credits efficiently. Use when planning GCP deployments, analyzing cloud spend, maximizing value from expiring…
Review Cloud Run and Cloud Functions gen2 for production readiness — min-instances cold start, memory and CPU allocation, VPC connector configuration, Secret Manager injection,…
Configure GCP IAM, Secret Manager, and VPC networking with security best practices. PROACTIVELY activate for: (1) setting up service accounts and IAM permissions, (2) managing…
Design GCP solutions aligned with the Google Cloud Architecture Framework when the request spans resource hierarchy, product selection, or multi-service architecture decisions.
Design Cloud Spanner schemas with hotspot avoidance, interleaving strategies, optimal indexing, processing-unit sizing, and global write patterns for distributed OLTP at scale.
Coordinate GCP support incidents — case creation with correct severity, Premium/Enhanced Support SLA enforcement, TAM escalation path, status page monitoring, internal stakeholder…
Triage GCP operational alerts, incidents, and support tickets — P0/P1/P2/P3 classification, GCP Premium/Enhanced Support SLA enforcement, war room coordination, evidence…
Troubleshoot GCP services using tool-first access (via MCP when available), falling back to the CLI only when necessary.
Manage Vertex AI Training jobs (GPU/TPU cost governance), Vertex AI Pipelines, Model Registry, Feature Store, Endpoints, and Gemini API integration for production MLOps.
GCP VM 생성 마법사. 용도 기반 사양 추천, VM 생성, 방화벽 설정까지 자동화. 트리거: VM 만들어줘, GCP VM 생성, 서버 하나 띄워줘, 인스턴스 생성
Design, review, and troubleshoot VPC Service Controls perimeters, access policies, dry-run mode configuration, bridge perimeters for cross-perimeter access, and Access Context…
Evaluate GCP workload cost efficiency against the Google Cloud Well-Architected Framework cost optimization pillar — covering FinOps culture, cloud spending alignment with…
Evaluate GCP workload reliability against the Google Cloud Well-Architected Framework reliability pillar — covering SLOs/error budgets, HA topology, horizontal scalability,…
GCP 到 Google Workspace 的穿越攻击方法论。当已获取 GCP Service Account 或 Project 权限并发现目标组织使用 Google Workspace、需要从云平台穿越到企业邮件/文档/管理控制台、或发现 Domain-Wide Delegation 配置时使用。覆盖 Domain-Wide Delegation…
GDD review and research during playtest phase. Use during playtest phase BEFORE sending playtest_session_report to PM, after completing gameplay testing, after reviewing…
Playwright-based game playtesting and design validation. Use when validating implementation against GDD, testing gameplay mechanics, capturing screenshot evidence, performing game…
Use when debugging the Breenix kernel at assembly or C-level using GDB - investigating CPU exceptions, page faults, triple faults, examining register state during interrupt…
Conversational GDB debugging for Breenix kernel. Use for interactive debugging sessions - set breakpoints, inspect registers, examine memory, step through code, investigate…
GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation
Audits web applications and architectures for compliance with GDPR, CCPA, and other privacy regulations, focusing on consent, data minimization, and user rights.
Lint and format GDScript files using gdtoolkit (gdlint + gdformat). Use after writing or modifying .gd files, when asked to check code style, fix lint errors, format code, or set…
Sets up, tests, and tears down a GCS Data Store linked to a Gemini Enterprise engine, with support for Workforce Identity Federation (WIF) access.
Dependency management, CI/CD optimization, Docker configuration, and operational observability (logging/alerting/health checks).
Expert guidance for Geistdocs, Vercel's documentation template built with Next.js and Fumadocs — MDX authoring, configuration, AI chat, i18n, feedback, deployment.
Ermittelt wirtschaftlich Berechtigte, Kontrollketten, Trust-/Stiftungsstrukturen, Nominees und Transparenzregisterdaten.
Comprehensive guide for building production-quality Ruby gems. Use when creating new gems, structuring gem architecture, implementing configuration patterns, setting up testing,…
Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment.
Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK for enterprise AI applications.
Google Gemini API integration for building AI-powered applications. Use when working with Google's Gemini API, Python SDK (google-genai), TypeScript SDK (@google/genai),…
Comprehensive reference for Google's Gemini API. Use when building applications with: (1) Gemini models (Gemini 3 Pro, 2.5 Flash/Pro/Flash-Lite) for text and multimodal g — from…
Comprehensive reference for Google's Gemini API. Use when building applications with: (1) Gemini models (Gemini 3 Pro, 2.5 Flash/Pro/Flash-Lite) for text and multimodal g — from…
Zbadaj aktualne oficjalne Google GenAI SDK dla Pythona, określ poprawną bibliotekę Gemini API i kroki instalacji, oraz wygeneruj aktualne przykłady dla generowania tekstu,…
Run Python code in Gemini's sandboxed execution environment to verify math, test regex patterns, simulate logic, or validate algorithms without local execution.
Use Gemini CLI's 1M token context to understand entire codebases in one pass. Full architecture mapping, pattern discovery, and onboarding documentation.
Google python-genai SDK for Gemini 3 Flash, Gemini 3 Pro, and Gemini models. Use when building with Google's Gemini API, google-genai, implementing thinking/reasoning, structured…
Delegiere Aufgaben an Gemini CLI im Headless-Mode. Nutze fuer Dokumentation, Code-Reviews, Analysen oder wenn der User /gemini aufruft. Nutzt Google Subscription (KEIN API Key).
Invoke Google Gemini for image generation and understanding using the Python google-genai SDK. Supports gemini-3-pro-image-preview (generation + understanding),…
Generate and edit images with Gemini API using pure Python stdlib. Zero dependencies - works on locked-down environments where pip/uv aren't available.
Use when installing, upgrading, or migrating the official Gemini API SDK (Google GenAI SDK) in any language — Python `google-genai`, JavaScript/TypeScript `@google/genai`, Go…
Invoke Google Gemini 3 Pro for text generation, reasoning, and code tasks using the Python google-genai SDK.
Use when deciding whether to route a task to Google's Gemini Pro frontier model (current Gemini 3.1 Pro generation, moving to Gemini 3.5 Pro) instead of Claude Opus or GPT-5 —…
Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest,…
Optimize token usage when delegating to Gemini CLI. Covers token caching, batch queries, model selection (Flash vs Pro), and cost tracking.
Receive and verify Google Gemini API webhooks. Use when setting up Gemini webhook handlers for batch jobs, video generation, or Interactions API function-calling LROs, debugging…
Performs web searches using Gemini CLI headless mode with google_web_search tool. Includes intelligent caching, result validation, and analytics.
Central authority for Claude-Gemini shared workspace architecture. Defines directory structure, artifact exchange, and file naming conventions.
Creates, refines, reviews, and expands Architectural Decision Records (ADR) using project templates and tech-radar.json.
Régénère les types TypeScript de l'API depuis le schéma OpenAPI Django. Utiliser quand un modèle/serializer/viewset backend a été modifié et que le frontend doit consommer les…
Convert a project plan written in a Markdown file into a complete bd beads graph (tasks, subtasks, dependencies) using only bd for creation and edits, then review and opt — from…
Add a REST API endpoint with Swagger docs, auth decorators, DTOs, and service method. Examples: \"Add POST /products endpoint\", \"Create search endpoint\", \"Add bulk delete…
Smoke test for the sagaflow generic interpreter. Writes a greeting to report.md and ends turn. Use only for testing the interpreter round-trip.
Analyze repo, detect stack, trace changes to user-facing entry points, generate E2E YAML test plan
Generate standard unit tests for one or more target classes in Apache ShardingSphere; by default, target 100% class/line/branch coverage and pass quality gates; perform explicit…
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
Use when evaluating, comparing, researching, or preparing vendor questions for Generative AI platforms, AI services, orchestration layers, agent frameworks, or AI tooling…
Validate Level 5 GenAI architecture decisions (LLM gateway, observability, guardrails, evaluation) before planning.
Open source MCP server for databases that simplifies AI agent access to database resources. Handles connection pooling, authentication, and observability with OpenTelemetry…