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Adk Bot Review · google bundle
Reviews adk-bot pull requests by validating technical correctness against source code, checking PR states and formatting, and following Google's developer documentation style and ADK docs conventions. Triggers on "review bot PR", "check bot changes", or "verify bot issue".

14.4k repo stars
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Integration Create · google bundle
Creates a new ADK integration documentation page (a Markdown file under docs/integrations/) for a third-party tool, plugin, observability platform, data store, MCP server, or connector. Gathers details, picks the right category template, and drafts a page that follows adk-docs conventions. Triggers on "integration-create", "create integration page", "new integration", "add an integration", "write an integration page".

14.4k repo stars
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Integration Review · google bundle
Reviews an ADK integration documentation page (a Markdown file under docs/integrations/) or an integration pull request for correctness, structure, style, working code, valid links, and catalog conventions. Produces a prioritized review report, a recommended decision (approve, request changes, or close PR), a top-level review response, and draft line-anchored comments; only fixes issues when explicitly asked. Triggers on "integration-review", "review integration page", "review integration PR", "review this integration", "check integration docs".

14.4k repo stars
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API Reference Audit · google bundle
Audits whether ADK API reference docs and version-pinned strings are up to date across all language SDKs. Compares in-repo versions against upstream releases and package registries, then reports what needs bumping and which process to follow, and emits an executable plan only when asked. Triggers on "audit API reference", "check API ref docs", "are API docs up to date", "bump API doc versions", "check SDK doc versions".

14.4k repo stars
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Adk Verify Snippets · google bundle
Checks that every Python code block in a Markdown file actually compiles and runs, by extracting each block to a temporary file, executing it in an isolated subprocess, and writing a pass/fail report with per-snippet coverage. Use when the user asks to verify, test, or validate the code samples in a README, a guide, or a documentation page; wants to know which snippets in a Markdown file are broken or out of date; or asks for a snippet verification report. Don't use for running the project's test suite (run pytest directly), for checking code style or formatting (use `adk-style`), or for authoring a new runnable sample agent (use `adk-sample-creator`).

14.4k repo stars
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Grocery Prices · google
A skill to calculate grocery prices with country-specific taxes.

14.4k repo stars
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Adk Agent Builder · google bundle
Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between agents, human-in-the-loop pauses, and pytest coverage for all of it. Use when asked to create an agent or a workflow, add a tool to one, branch or loop between nodes, run steps in parallel, pause for user approval, or test an agent. Don't use for explaining how ADK works internally or designing its core components (use `adk-architecture`), for an agent that already runs but misbehaves (use `adk-debug`), for authoring a sample under `contributing/` (use `adk-sample-creator`), or for naming, typing, and formatting conventions (use `adk-style`).

14.4k repo stars
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Adk Architecture · google bundle
Explains how the ADK runtime fits together: the node and graph execution model, Context and Event flow, checkpoint and resume, tracing, and the rules governing the public API surface. Use when answering "how does X work" about ADK internals, tracing where an event or a piece of state comes from, deciding where a new capability belongs, reviewing a change to BaseNode, Workflow, Runner, Agent, Event or Context, working out why a node re-ran or stayed waiting after a resume, or judging whether a change breaks the public API. Don't use for assembling an agent from existing pieces (use adk-agent-builder), diagnosing one failing run or test (use adk-debug), or formatting and naming conventions (use adk-style).

14.4k repo stars
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Adk Unit Design · google bundle
Writes an as-built architecture document for one ADK code unit — purpose, execution flow, data flow, cross-class dependencies, extension points, and the parts that must not change — to `docs/design/{topic}/{unit}/index.md`. It describes the code as implemented, not a proposed design, and its reader is a developer about to change or extend that unit. Use when asked to "write a design doc for {file}", "document the architecture of {class}", "document the extension points of {unit}", or after adding a core class, node type, or plugin base. Don't use for documentation aimed at developers who only call the unit from their own application — that is a usage guide with runnable examples under `docs/guides/` (use `adk-unit-guide`). Don't use to answer a framework-wide architecture question (use `adk-architecture`).

14.4k repo stars
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Adk Sample Creator · google bundle
Author or rework a runnable example under `examples/` in the ADK Go repository — the directory, `main.go`, the README with its Mermaid diagram and real transcript, and the index row. Use when adding a sample for a feature (workflow graph, tool, registry client, model backend, server), when asked to "add an example" for something, or when bringing an existing example up to the repo's standard.

14.4k repo stars
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Adk Unit Guide · google bundle
Writes a hands-on developer guide for one ADK code unit — a minimal runnable example, how it works, a configuration-option table, advanced uses, limitations, and links to related samples — to `docs/guides/{topic}/{unit}/index.md`, then lists it in the index at `docs/guides/README.md`. Its reader is a developer calling the unit from their own application, at more depth than the published adk.dev documentation carries. Use when asked to "write a unit guide for {class}", "document how to use {feature}", "add a guide for {file}", or after shipping a user-facing class, node, or plugin. Don't use for internals documentation aimed at someone changing or extending the unit — that is a design document under `docs/design/` (use `adk-unit-design`). Don't use to write a runnable sample under `contributing/samples/` (use `adk-sample-creator`).

14.4k repo stars
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Adk Review · google
Reviews the uncommitted changes in an adk-python working tree and reports correctness, design, public-API stability, test, sample and documentation gaps as a prioritized findings report, fixing them only when asked. Use when the user asks to review local changes, wants a self-review before opening a pull request, asks whether a change breaks the public API or needs tests, samples or docs, or asks what is wrong with the current diff. Required for changes to public APIs, core architecture (Runner, Workflow, BaseNode), new features and major refactors. Don't use for a single style nit (use adk-style), for diagnosing a failing test or a misbehaving agent at runtime (use adk-debug), or for wording a commit message or PR description (use adk-git).

14.4k repo stars
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Adk Debug · google bundle
Diagnoses misbehaving ADK agents by inspecting sessions, events, tool calls, and the exact request that reached the model. Covers the `adk run` CLI and the `adk web` dev server with its session, trace, and debug HTTP endpoints. Use when an agent returns the wrong answer, ignores a tool or swallows a tool error, hangs, loops, emits raw JSON instead of calling tools, is not discovered by `adk web`, when a sub-agent cannot see the parent conversation, or when you need the LLM request/response, token counts, or logs for a run. Don't use for how ADK is designed internally (use `adk-architecture`), for building a new agent or workflow (use `adk-agent-builder`), for environment or dependency setup failures (use `adk-setup`), or for lint and style nits (use `adk-style`).

14.4k repo stars
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Adk Setup · google
Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test run. Runs only when explicitly requested, never on its own. Use when asked to set up, bootstrap, or repair a development checkout, install project dependencies, fix a missing or broken .venv, or prepare a machine for contributing a pull request. Don't use for debugging a running agent (use adk-debug), for commit and pull-request mechanics (use adk-git), or for re-running formatters on a checkout that is already set up (pre-commit run --all-files).

14.4k repo stars
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Adk Style · google bundle
Python style and codebase conventions for ADK (Agent Development Kit): private-by-default file visibility, imports, type hints, Pydantic v2 models, formatting, docstrings, logging, async I/O, file and test layout, and unit test structure. Use when writing or editing ADK source or tests, deciding whether a new file or symbol should be public or private, naming or placing a test file, fixing a formatter, linter, or type-check failure (pyink, isort, ruff, mypy, addlicense, compliance-checks), or asking whether code matches house style. Don't use for reviewing a whole changeset (use adk-review), writing a developer guide or design doc for a code unit (use adk-unit-guide or adk-unit-design), building or configuring agents (use adk-agent-builder), or installing the toolchain (use adk-setup).

14.4k repo stars
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Google Cloud Solution Agentic AI Data Science Workflow · google bundle
>- Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.

14.4k repo stars
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Google Cloud Solution RAG Enterprise Search Gke Sqldb · google bundle
>- Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.

14.4k repo stars
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Google Cloud Solution Agentic AI Borderless Data Lakehouse · google bundle
>- Guides agents to discover requirements and design a governed, secure borderless open data lakehouse with agentic AI integration. Use when designing a multi-product architecture that connects data silos to AI agents, joining data across clouds, or running federated queries across Google Cloud and external data sources, including on-premises or other cloud providers. Don't use for simple single-cloud data warehouses or non-AI workloads.

14.4k repo stars
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Google Cloud Solution Agentic Analytics Spark Knowledge Cata · google bundle
>- Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is accessed through federation mechanisms such as Apache Iceberg, other "zero-copy ETL" methods, or remote query push-down. Use this skill when designing an architecture for efficient analytics across large volumes of structured and unstructured data that's located in multiple systems and environments, including other cloud providers and on-premises.

14.4k repo stars
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Google Cloud Solution Guided Gke AI Migration · google bundle
>- Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.

14.4k repo stars
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Google Cloud Solution N Tier Serverless Web App · google bundle
>- Guides agents to interactively discover customer requirements for a Secure n-tier serverless web application and generate a tailored cloud multi-product solution that incorporates opinionated best practices and architecture guidance. Use when users need agentic assistance with designing and creating a multi-product solution in the cloud for Secure n-tier serverless web application. Don't use when designing VM or GKE-based architectures or when not using Google Cloud.

14.4k repo stars
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Gke AI Troubleshooting Handle Disruption Gpu Tpu · google
>- Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL metrics, auditing node taints, or configuring workload protection strategies (graceful termination, opportunistic maintenance, PodDisruptionBudgets). Don't use for general GKE cluster creation, network policy configuration, or non-disruption workload deployment.

14.4k repo stars
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Extract Python Environment Variables · google bundle
> Scans a Python recipe to find every place an environment variable is accessed — including `os.environ.setdefault("V", "d")`, whose "d" would otherwise be a hidden default a user editing .env.example has no way to discover — then ensures all variables are declared in `.env.example`, that `load_dotenv()` is bootstrapped in the package `__init__.py`, and that `python-dotenv>=1.0.0` is listed in `pyproject.toml`. When a new entry is added to `.env.example`, the extracted default from source is written as the value (with a `# extracted-by:extract-env-vars` marker and provenance comment); values that look like stubs (`"my-project-id"`, `"changeme"`, `"<...>"`) are downgraded to the TODO placeholder but the source string is preserved in the marker comment. Also detects hardcoded model-name string literals (e.g. `"gemini-3.5-flash"` in `agent.py`) and rewrites them to bare...

14.4k repo stars
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Google Cloud Solution Build Deploy Agents · google bundle
>- Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.

14.4k repo stars
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Google Cloud Global Frontend Configuration · google bundle
| Guides agents through a structured 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to opinionated best-practice configurations. Use when: Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. Discovering existing Google Cloud resources (Cloud Storage buckets, Compute Engine MIGs, GKE, Cloud Run) to use as load balancer backends. Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancer configurations. Actuating deployments via Infrastructure Manager or bash scripts, including performing IAM pre-checks. Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load...

14.4k repo stars
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Google Ads API Account Diagnostics · google
>- Diagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad rank, bids, or budgets. Use when troubleshooting sudden performance drops, analyzing campaign impression share metrics, investigating low lead flow, or searching for bidding and budget constraints. Don't use for setting up new campaigns, uploading conversion events directly, or general Google Mobile Ads SDK integration issues (use gma-android-integrate instead).

14.4k repo stars
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Google Cloud Solution Architecture · google bundle
>- Interactively discovers requirements for a specific cloud workload and generates design recommendations and architectural guidance to build a multi-product solution in Google Cloud. Use this skill for holistic, end-to-end design recommendations and architectural guidance for complex, multi-product workloads on Google Cloud for specific use cases. Don't use this skill when other specialized skills (e.g., product-specific or google-cloud-recipe-*) directly address the user's workload or use case.

14.4k repo stars
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Cloud Monitoring Metric Selection · google
>- Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.

14.4k repo stars
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Industry Landscape Briefing · google
Equips sellers with macro industry trends by analyzing trending data and specific analyst/competitor channels.

14.4k repo stars
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Gke Cost Analysis · google
>- Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics. Use when querying GKE costs across projects, namespaces, or workloads, analyzing billing reports in BigQuery (`bq`), checking cluster cost budgets (`gcloud billing`), or diagnosing cost drivers like pod requests vs. actual utilization (`kubectl top`). Don't use for applying cost optimization changes, creating rightsizing manifests (VPA/MPA), or selecting ComputeClasses (use gke-cost-optimization instead).

14.4k repo stars
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Gke Productionize · google
Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going live to production. Don't use for deep-dive single-domain implementation (use specific domain skills like gke-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliability instead).

14.4k repo stars
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Blog Writer · google bundle
Blog post writing skill with structure templates and style guidelines. Guides the agent through writing well-structured, engaging technical blog posts with proper formatting, section flow, and reader engagement techniques.

14.4k repo stars
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Gemini Live API · google bundle
>- Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot `generateContent`, embeddings, image/video generation, or fine-tuning — use the `gemini-api` skill for those.

14.4k repo stars
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Generate Python Runnability Test · google bundle
> Generates a lightweight `tests/test_runnability.py` for a Python recipe. The test just imports the recipe's agent module and asserts that `root_agent is not None` (and `app is not None` if the module defines one). The skill parses agent.py with `ast` to figure out which import-time side effects need mocking (`vertexai.init`, `google.auth.default`) and which env vars need setting (`GOOGLE_CLOUD_PROJECT`, `INTEGRATION_TEST`), and only emits the boilerplate the recipe actually needs. Runs in dry-run (report + preview) and apply (write to disk) modes. Use when the user wants to "add a runnability test", "generate test_runnability.py", "create a smoke test for the recipe", or fix the missing-required-file failure from `python-validate-recipe.yml`.

14.4k repo stars
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Creative Insight Analyzer · google
Deconstructs high-performing or viral videos to extract actionable creative insights from metadata and transcript.

14.4k repo stars
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Cloud Logging Query Generation · google bundle
>- Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Spanner.

14.4k repo stars
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Gke Platform Security · google
>- Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, enabling Shielded Nodes, GKE Sandbox cluster enablement, GKE IAM roles, and cross-service authentication IAM patterns. Use when securing cluster control planes, hardening GKE RBAC, enabling Shielded Nodes, enabling GKE Sandbox runtime, enabling cluster-wide security add-ons, or managing GKE IAM roles. Don't use for workload-level security (Workload Identity, SecretProviderClass, PSS, NetPol, gVisor pod runtimeClassName; use gke-workload-security instead).

14.4k repo stars
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Gke Workload Security · google bundle
>- Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (`audit_cluster.sh`), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (`gVisor`), enforcing Pod Security Standards (`restricted` labeling), and mounting Secret Manager secrets via CSI (`SecretProviderClass`). Use when auditing cluster security posture, isolating namespaces, applying pod security standards, setting up Workload Identity, or configuring network policies and secret volume mounts. Don't use for cluster-wide control plane security, RBAC hardening, Binary Authorization, Shielded Nodes, or enabling platform-level GKE add-ons (use gke-platform-security...

14.4k repo stars
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Abcd Framework Audit · google
Performs a strict evaluation of a video asset using Google's official 'ABCD' framework (Attract, Brand, Connect, Direct) based on transcript and metadata.

14.4k repo stars
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Product Launch Audit · google
Provides an executive dashboard comparing Creator vs Audience verdicts for a recent client product launch.

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Content Research Writer · google bundle
Content research and SEO writing methodology. Guides the agent through topic research, keyword identification, competitive analysis, and writing SEO-optimized content that ranks well and provides genuine value to readers.

14.4k repo stars
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Visualization Reporting · google
Transforms raw metrics and analysis into visual charts and published, shareable HTML reports using Google Cloud Storage.

14.4k repo stars
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Google Cloud Storage Basics · google bundle
>- Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes and tiering (Standard, Nearline, Coldline, Archive), manage cost and lifecycle, protect data (versioning, encryption/CMEK, retention and Bucket Lock, object holds, soft delete), host static websites, trigger Pub/Sub notifications on object changes, mount buckets as a file system (gcsfuse), or optimize storage performance at any scale. Covers the gcloud storage / gsutil CLI, JSON and XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for block storage (Persistent Disk), data warehousing/analytics...

14.4k repo stars
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Align Recipe Pyproject · google bundle
> Aligns a Python recipe's pyproject.toml with the repo's standards enforced by .github/workflows/python-validate-recipe.yml, plus one critical [build-system] presence check. Scope is pyproject.toml only — standalone ruff.toml / .ruff.toml files (also forbidden in recipes) are caught by the CI workflow instead, not by this skill. Runs in two modes: a read-only dry-run that reports what needs alignment, and an apply mode that rewrites pyproject.toml (and optionally manifest.yaml) using comment-preserving TOML/YAML editors. Use when the user wants to "align the recipe's pyproject.toml", "fix pyproject to match the repo standard", "check what needs changing in a recipe's pyproject", or clean up a recipe before submitting a PR.

14.4k repo stars
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Poi Discovery Briefing · google
Extracts specific local activity recommendations and sentiment from travel vlogs into a shareable HTML BD report.

14.4k repo stars
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Scaffold Python Recipe · google bundle
> This skill should be used when the user wants to "create a new Python ADK sample", "scaffold a new Python sample recipe", "generate a new Python sample in contrib", "add a new Python sample to the adk-samples repository", or "create a Python adk sample". It utilizes an automated script to copy template files and resolve basic placeholders.

14.4k repo stars
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Prepare Python Recipe · google bundle
> End-to-end orchestration to prepare or update a Python recipe under core/python/ or contrib/ so it passes every check in .github/workflows/python-validate-recipe.yml. Runs seven phases in order on an already-in-place recipe: manifest.yaml generation, environment-variable extraction, pyproject.toml alignment, ruff format+check, per-recipe `uv lock`, runnability-test generation, and a final `py_compile` verification of the generated test file. Assumes the user has already done the manual prep (deactivated any venv, `git pull` and `uv sync` from the repo root, placed the recipe at its target path, renamed if needed). Delegates to the existing sub-skills (generate-manifest, extract-python-environment-variables, align-recipe-pyproject, generate-python-runnability-test) so the master never duplicates their logic. Pauses at fixed decision points (description mismatch, existing test...

14.4k repo stars
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Multi Video Synthesis · google
Performs high-density targeted extraction across 10+ videos to map semantic landscapes, consensus, and controversies.

14.4k repo stars
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Debate Synthesizer · google
Extracts the strongest arguments from heated YouTube comment threads, identifying key battlegrounds and community consensus.

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Sentiment Analysis · google
Extracts the true audience mood and key feedback by analyzing comment sentiment and keyword frequency.

14.4k repo stars
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Generate Manifest · google
Scan an ADK recipe directory and generate a manifest.yaml for it based on the schema at .github/schemas/manifest-schema.json. Use when the user wants to create or generate a manifest.yaml for a recipe under core/ or contrib/.

14.4k repo stars
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Gke Service Networking · google
>- Configures GKE edge networking, traffic routing, load balancing, and private service endpoints. Use when configuring Gateway API manifests, standard Ingress, Cloud Armor WAF security policies, Container-Native Load Balancing (NEGs), Private Service Connect (PSC), or Google-managed SSL certificates on GKE. Don't use for core cluster IP planning, Dataplane V2 network policies, or node NAT egress (use gke-networking instead).

14.4k repo stars
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Deep Exploration · google
Saves time by autonomously reading transcripts, synthesizing arguments, and generating direct jump-links to key moments.

14.4k repo stars
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Gke Cost Optimization · google
>- Optimizes GKE costs, rightsizes workloads, and configures Spot VMs, CUDs, cost allocation, and resource quotas. Use when optimizing GKE cluster or workload costs, configuring GKE cost allocation or quotas, rightsizing CPU/memory requests, or selecting Spot VMs and machine types. Don't use for general compute class provisioning or GPU Selection (use gke-compute-classes instead).

14.4k repo stars
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Gke Workload Scaling · google bundle
>- Manages scaling for GKE workloads using HPA and VPA. Use when configuring Horizontal Pod Autoscaler (HPA), configuring Vertical Pod Autoscaler (VPA), or applying best practices for GKE workload autoscaling. Do not use for cluster-level autoscaling (Cluster Autoscaler), static cluster sizing, or configuring node-level machine styles directly.

14.4k repo stars
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Datalineage Summary · google bundle
>- Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).

14.4k repo stars
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Daily Briefing · google
Provides a high-signal briefing on events in a specific location and timeframe, backed by primary video sources and transcripts.

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Kol Discovery · google
Identifies and ranks Key Opinion Leaders (KOLs) based on engagement metrics, active rate, and sentiment rather than just views.

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Gke Cluster Autoscaler · google bundle
Provides guidance on enabling and optimizing GKE Cluster Autoscaler, including Node Auto Provisioning, troubleshooting scale-up/down issues, and best practices for capacity management.

14.4k repo stars
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Google Cloud Solution Agentic AI Bidirectional Streaming · google
Designs and implements a Google Cloud solution for live, bidirectional multimodal streaming workloads with AI agents, covering requirements discovery, architecture design, and deployment planning.

14.4k repo stars
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Bigquery Bigframes · google
Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery, for dataframe and ML workflows.

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Data Manager API Setup · google bundle
Guides through client library installation and authentication setup for the Data Manager API, including ADC configuration and required scopes.

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Google Cloud Recipe Foundation Builder · google bundle
Deploys a secure, enterprise-grade Google Cloud landing zone foundation with organization policies, resource hierarchy, billing association, and centralized logging and monitoring.

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Datalineage Bigquery Asset Impact Analysis · google bundle
Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified, identifying all affected downstream tables, dashboards, and processes.

14.4k repo stars
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Detection Engineering Coverage Evaluation · google
Automates detection engineering workflows in Google SecOps by extracting threat intelligence, generating detection opportunities, simulating attacker behavior with synthetic events, evaluating rule coverage, and creating new YARA-L 2.0 rules to close gaps.

14.4k repo stars
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Data Manager API Audience Ingestion · google
Uploads audience members to Google products like Customer Match and mobile device ID audiences using the Data Manager API.

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Gke Inference · google
Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.

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Gke Networking · google
Plans, configures, and manages GKE networking including private clusters, VPC-native configurations, Gateway API, DNS, ingress/egress, Dataplane V2, and IP planning.

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Bigquery Basics · google bundle
Manage datasets, tables, and jobs in BigQuery. Run SQL queries, manage BigQuery resources, and perform basic data ingestion and analysis.

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Bigtable Basics · google bundle
Provision Bigtable instances, design performant schemas, and query data using gcloud, cbt, or client libraries.

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Firebase Basics · google bundle
Sets up the Firebase CLI, installs Firebase agent skills, and configures project context for mobile and web app development.

14.4k repo stars
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Gke Golden Path · google bundle
Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns for designing and verifying GKE clusters.

14.4k repo stars
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Gke Reliability · google
Configures GKE workload reliability with PodDisruptionBudgets, health probes, topology spread constraints, and graceful shutdown patterns.

14.4k repo stars
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Cloud Run Basics · google bundle
Deploy and manage Cloud Run services, jobs, and worker pools on Google Cloud.

14.4k repo stars
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Cloud SQL Basics · google bundle
Creates and manages Cloud SQL instances, databases, and users for MySQL, PostgreSQL, and SQL Server using gcloud CLI commands.

14.4k repo stars
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Gke Multitenancy · google
Plans and configures multi-tenancy on GKE, covering namespace isolation, RBAC planning, resource quotas, LimitRanges, network isolation, and cost allocation.

14.4k repo stars
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Gemini Agents API · google
Manage custom Agent resources on the Gemini Enterprise Agent Platform via REST API, including creation, configuration, listing, updating, and deletion with support for files, skills, and tools.

14.4k repo stars
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Gke Observability · google
Configures GKE observability with Cloud Logging, Cloud Monitoring, and managed Prometheus for monitoring, logging, and metrics collection.

14.4k repo stars
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Gke App Onboarding · google bundle
Containerizes applications and deploys them to Google Kubernetes Engine (GKE) with Dockerfiles, manifests, and best practices.

14.4k repo stars
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Gke Compute Classes · google bundle
Configures, optimizes, and troubleshoots GKE ComputeClasses for Spot VMs with on-demand fallback, GPU/TPU targeting, machine family selection, and zone colocation.

14.4k repo stars
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Gke Cluster Creation · google
Creates GKE clusters with golden path Autopilot defaults, supporting Standard and GPU workloads. Guides through project, region, and networking inputs, then provisions and verifies cluster settings.

14.4k repo stars
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Agent Platform Deploy · google bundle
Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints.

14.4k repo stars
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Agent Platform Tuning · google bundle
Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.

14.4k repo stars
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Gemini Interactions API · google
Authenticate, initialize, and use the stateful Gemini Interactions API for multi-turn conversations, streaming, structured output, and function calling on the Gemini Enterprise Agent Platform.

14.4k repo stars
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Workload Manager Basics · google bundle
Validate enterprise workloads against Google Cloud best practices using public client libraries and the REST API to manage evaluations, rules, scanned resources, and validation results.

14.4k repo stars
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Agent Platform Inference · google bundle
Authenticates and connects to Google Cloud Agent Platform for inference with Gemini and third-party OpenMaaS models (Llama, DeepSeek, Qwen). Generates code for multiple SDKs, configures endpoints, and troubleshoots common errors.

14.4k repo stars
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Google Cloud Recipe Auth · google
Guides authentication and authorization to Google Cloud services, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

14.4k repo stars
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Google Cloud Waf Security · google
Evaluates Google Cloud workloads against the Well-Architected Framework security pillar, identifies security requirements, and provides actionable recommendations for IAM, network security, data protection, and operational security.

14.4k repo stars
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Iam Recommendations Fetcher · google
Fetches IAM recommendations and security insights from Google Cloud for a specified organization, folder, or project, using MCP tools, gcloud CLI, or direct API calls.

14.4k repo stars
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Agent Platform Eval Flywheel · google bundle
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.

14.4k repo stars
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Google Agents CLI Onboarding · google
Sets up Google's agents-cli toolkit and guides through the full agent development lifecycle: scaffold, build, evaluate, deploy, publish, and monitor on Gemini Enterprise Agent Platform.

14.4k repo stars
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Google Cloud Waf Reliability · google
Evaluates Google Cloud workloads against the Reliability pillar of the Well-Architected Framework, providing actionable recommendations for building, deploying, and managing reliable systems.

14.4k repo stars
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Agent Platform Model Registry · google
Manage machine learning models in the Agent Platform Model Registry: list, describe, upload, update, and delete models and their versions.

14.4k repo stars
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Agent Platform Skill Registry · google bundle
Search, manage, and scaffold skills in the Gemini Enterprise Agent Platform Skill Registry.

14.4k repo stars
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Google Cloud Recipe Onboarding · google
Guides a developer through first steps on Google Cloud, including account setup, authentication, project creation, and billing linkage.

14.4k repo stars
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Google Cloud Waf Sustainability · google
Evaluates Google Cloud workloads against the Sustainability pillar of the Well-Architected Framework, providing actionable recommendations to minimize environmental impact.

14.4k repo stars
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Agent Platform Prompt Management · google bundle
Creates, lists, retrieves, versions, and deletes managed prompts in Google Cloud Agent Platform using the Python SDK.

14.4k repo stars
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Agent Platform Tuning Management · google
Manages GenAI tuning jobs in Agent Platform by listing, inspecting, or canceling ongoing model tuning jobs.

14.4k repo stars
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Ima Sdk Basics · google bundle
Integrate client-side video and audio ads using the IMA SDK across web, Android, iOS, and TV platforms with VAST/VMAP support.

14.4k repo stars
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Agent Platform Alert Configuration · google bundle
Configures dynamic threshold alerting policies for Google Cloud Vertex AI Agent Platform agents, monitoring latency, error rates, and quality metrics using Terraform and PromQL.

14.4k repo stars

429 published skills · page 4 of 5