google
202 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
googlecloud-trace-querying
Query Cloud Trace spans, filter by latency thresholds or error status, correlate distributed traces with Cloud Logging, and diagnose latency bottlenecks across Google Cloud services. Use when investigating slow requests, analyzing trace hierarchies, or resolving latency regressions. Do NOT use for querying non-GCP telemetry or database query optimization outside Cloud Trace.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledatalineage-bigquery-asset-impact-analysis
Analyzes the downstream impact (blast radius) using data lineage on Google Cloud when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don'
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledatalineage-summary
Summarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage. 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).
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledbt-sf-to-bq-translator
Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migrating Snowflake dbt pipelines or models to BigQuery on Google Cloud. Don't use for generic BigQuery queries or non-Snowflake SQL migrations.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledetection-engineering-coverage-evaluation
Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, and deploying gap-closing rules. Don't use for standalone YARA-L 2.0 rule authoring/tuning (use secops-detection-engineering), threat hunting, or SOC investigation.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledeveloper-device-platform-basics
Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP). Use when reserving remote Android devices, establishing connection tunnels, checking session status, or extending/cancelling leases. Don't use for iOS or local device/hardware inquiries.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledeveloping-genkit-dart
Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledeveloping-genkit-go
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledeveloping-genkit-js
Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googledpop-adoption
Implement and debug OAuth 2.0 DPoP (RFC 9449) refresh token sender-constraining for WebCrypto, Node.js ES6, and browser runtimes integrating with Google's OAuth platform. Use when configuring non-extractable asymmetric key pairs (P-256), generating DPoP Proof JWTs for authorization code exchange and token refresh, or handling 400 usedpopnonce challenge retry loops at oauth2.googleapis.com/token. Don't use for unconstrained OAuth 2.0 flows (where refresh tokens are not bound to a client key pair)
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegemini-agents-api
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegemini-api
Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegemini-interactions-api
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegemini-live-api
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 th
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-handle-disruption-gpu-tpu
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, networ
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-jobset-interruption
Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workload deployment, or non-JobSet application issues.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-node-unresponsive-timeout
Diagnose and mitigate GKE TPU or GPU nodes stuck in NotReady / NodeStatusUnknown ("Kubelet stopped posting node status") due to host kernel panics, hardware lockups, or disabled node auto-repair. Use when nodes stop heartbeating beyond the node auto-repair threshold and pods remain stuck in Terminating. Don't use for healthy nodes, pod-only application crashes, or routine GKE upgrades.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-tpu-dynamic-slices-monitoring
Monitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice controller. Don't use for generic GKE cluster node pool creation or standard non-TPU workload management (use gke-basics or gke-cluster-creation instead).
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-tpu-metrics-monitoring
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging.
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-tpu-mxla-hang
Diagnose GKE Cloud TPU multi-slice training hangs (Megascale HANGDETECTED logs and hang monitored events) using the ML Diagnostics Megascale XLA (MXLA) Hang Analyzer (gcloud alpha mldiagnostics monitored-events) and 1-minute Cloud Monitoring multi-slice latency metrics (kubernetes.io/container/multislice/). Distinguishes XLA compiler/HLO launch divergence and host data-input stalls from TPU chip, SparseCore, ICI, or network fabric faults. Use when multi-slice TPU training jobs freeze without pro
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-tpu-partition-overlap
Diagnose and resolve GKE TPU slice creation failures (SliceCreationFailed) caused by partition overlap conflicts where requested TPU partitions or their nodes are already used by another slice or JobSet. Use when diagnosing GKE TPU slice creation failures with SliceCreationFailed partition or node conflicts. Don't use for general slice lifecycle states or slice provisioning failures without node overlap (use gke-ai-troubleshooting-tpu-dynamic-slices-monitoring), quota exhaustion, or unresponsive
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-tpu-performance-degradation
Diagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (gcloud alpha mldiagnostics monitored-events / hypercomputecluster.googleapis.com/v1alpha) and 1-minute Cloud Monitoring system metrics (kubernetes.io/node/accelerator/). Distinguishes hardware and network fabric throttling from workload resource bottlenecks (HBM capacity, host memory, or host CPU saturation). Use when TPU training throughput or duty cycl
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-tpu-reservation-stockout
Diagnose and resolve cluster-wide GKE TPU node pool creation or scale-up failures caused by Compute Engine reservation stockouts (GCESTOCKOUT, ZONERESOURCEPOOLEXHAUSTED) when existing unhealthy or NotReady TPU node pools in the cluster have node auto-repair disabled and hold reserved TPU capacity. Use when TPU node pool creation or scale-up fails with GCESTOCKOUT, ZONERESOURCEPOOLEXHAUSTED, or ZONERESOURCEPOOLEXHAUSTEDWITHDETAILS despite having a specific Compute Engine TPU reservation. Don't us
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.
googlegke-ai-troubleshooting-tpu-slice-mig-stuck-updating
Diagnose and resolve GKE TPU Dynamic Slice creation and JobSet scheduling failures blocked by underlying Compute Engine managed instance groups (MIGs) stuck in an updating or unstable state (isStable=False). Use when TPU slice creation fails with a SliceCreationFailed status reason, when JobSets remain stuck in pending, or when MIG status reflects isStable=False or versionTarget.isReached=False during TPU slice formation. Don't use for SliceCreationFailed causes unrelated to MIG stability (use g
- Installationen
- 2
- GitHub Stars
- 21.562
- Aktualisiert
- 25. Okt.