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Comprehensive deployment guide for ADK agents across Google Cloud platforms with CI/CD, infrastructure, and troubleshooting. \n \n Covers three deployment targets (Agent Engine, Cloud Run, GKE) with a decision matrix comparing scaling, networking, session state, and cost models \n Includes quick-deploy CLI commands, scaffolded project workflows with make commands, and full CI/CD pipeline setup via GitHub Actions or Cloud Build with Workload Identity Federation \n Provides platform-specific detai

Smart contract security review through Trail of Bits' 5-step workflow with automated scanning, visual analysis, and property documentation. \n \n Runs Slither with 70+ detectors to identify known vulnerabilities, then checks for special features like upgradeability risks, ERC conformance, and token integration patterns \n Generates three security diagrams (inheritance graph, function visibility, state variable authorization) to reveal architectural vulnerabilities that text descriptions miss \n

Observability setup guide for ADK agents covering tracing, logging, analytics, and third-party integrations. \n \n Four observability tiers: Cloud Trace (always enabled, distributed tracing), Prompt-Response Logging (GenAI interactions to GCS/BigQuery), BigQuery Agent Analytics (structured agent events), and third-party platforms (AgentOps, Phoenix, MLflow, Weave, Arize, Monocle, Freeplay) \n Cloud Trace automatically configured in scaffolded projects and Agent Engine deployments; captures execu

AI-powered logo design with prompting strategies, scalability rules, and iteration workflows. \n \n Covers six logo types (wordmark, lettermark, pictorial, abstract, mascot, combination) with use cases and design considerations for each \n Provides tested prompt structures and keywords that work with AI image generators, plus explicit anti-patterns to avoid (text rendering, photorealism, gradients) \n Includes scalability checklist ensuring logos work from 16px favicons to billboards, plus color

Generate and maintain Terraform code following HashiCorp's official style conventions. \n \n Enforces two-space indentation, lowercase underscore naming, and standard file organization across terraform.tf , providers.tf , main.tf , variables.tf , outputs.tf , and locals.tf \n Requires type and description on all variables and outputs, with validation rules and sensitive flag support for credentials \n Prioritizes for_each over count for dynamic resources, applies security hardening (encryption,

Complete guide for scripting, producing, and assembling explainer videos via inference.sh CLI. \n \n Provides three script formulas (Problem-Agitate-Solve, Before-After-Bridge, Feature Spotlight) with timing breakdowns, word counts, and pacing rules for 30–120 second videos \n Covers scene generation via video AI models, voiceover production with TTS, music ducking, and caption integration through a multi-step assembly pipeline \n Includes practical tables for pacing (120–170 wpm by content type

Look up Gemini API documentation and SDK patterns when building with Google Gemini. This skill brings Gemini docs TO Claude — it does not call Gemini.

Create structured troubleshooting documentation that helps users and support teams quickly diagnose and resolve common issues.

Use the official Open Source Guides as a coaching framework for open source questions.

Create clear, user-focused documentation with step-by-step guides, screenshots, and FAQ sections. \n \n Generates four documentation types: quick-start guides, task-focused how-to articles, FAQ pages, and learning-focused tutorials \n Emphasizes visual clarity with embedded screenshots, GIFs, and structured numbered instructions designed for non-technical users \n Includes troubleshooting sections, related links, and multiple support contact methods to reduce user friction \n Follows plain-langu