google-adk-python
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.
Works with
--- name: google-adk-python description: Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python. license: MIT --- # Google ADK (Python) Skill This skill provides comprehensive documentation and Python examples for the Google Agent Development Kit (ADK). It maps documentation topics to their corresponding Python code snippets. ## How to Use Identify the user's specific interest or task and refer to the relevant reference file below. Each reference file contains links to the official documentation (Markdown) and the corresponding Python examples (raw code). ## Topics ### 1. Getting Started For installation, quickstarts, and basic agent setup. - **Reference**: [references/get-started.md](references/get-started.md) ### 2. Agents & Models For creating different types of agents (LLM, Workflow, Loop, Parallel, Sequential) and configuring specific models (Gemini, Anthropic, etc.). - **Agents Reference**: [references/agents.md](references/agents.md) - **Models Reference**: [references/models.md](references/models.md) ### 3. Tools (Basic & Advanced) For integrating tools like Google Search, Code Execution, BigQuery, third-party services (GitHub, Jira, etc.), MCP, and Grounding. - **Basic Tools Reference**: [references/tools.md](references/tools.md) - **Advanced Tools Reference**: [references/advanced-tools.md](references/advanced-tools.md) ### 4. Streaming For building real-time, low-latency streaming agents (audio/video). - **Reference**: [references/streaming.md](references/streaming.md) ### 5. Callbacks For hooking into agent lifecycle events (before/after agent, model, tool execution). - **Reference**: [references/callbacks.md](references/callbacks.md) ### 6. Runtime & Architecture For deep dives into the Runtime, Sessions, Memory, Context, Events, Artifacts, and Plugins. - **Reference**: [references/runtime-arch.md](references/runtime-arch.md) ### 7. Deployment & Operations For deploying agents (Cloud Run, GKE) and observability (Logging, Tracing, Evaluation). - **Reference**: [references/deploy-ops.md](references/deploy-ops.md) ### 8. Tutorials & Samples For end-to-end tutorials and complete agent samples (e.g., YouTube Shorts Assistant, Weather Agent). - **Reference**: [references/tutorials.md](references/tutorials.md) ### 9. API Reference For REST API details. - **Reference**: [references/api.md](references/api.md) ### 10. General Information For project info, community, release notes, and limitations. - **Reference**: [references/general.md](references/general.md) ## Instructions - When a user asks about a specific topic, load the corresponding reference file to get the URLs for the documentation and code. - You can read the content of the linked files using `web_fetch` or `run_shell_command` with `curl` if you need to provide the actual content to the user. - Always prefer providing the Python example code when explaining a concept.
More Deployment & CI/CD skills
azure-enterprise-infra-planner
microsoft/azure-skills
Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.
azure-kubernetes-app-deploy
microsoft/azure-skills
Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions.
finetuning
microsoft/azure-skills
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).

