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Found 764 Skills
Analyze images using AI with the understand_image tool
TypeScript 6+ guidance for project development, tsconfig configuration, diagnostics, module resolution, deprecations, and modern standard-library typings. Use when building or maintaining TypeScript 6+ projects, debugging compiler behavior, or working through TS 6-specific defaults and tooling such as `#/` subpath imports, `ignoreDeprecations`, `RegExp.escape`, `Temporal`, and `--stableTypeOrdering`. Triggers on typescript 6, ts 6, stableTypeOrdering, ignoreDeprecations, types array, noUncheckedSideEffectImports, baseUrl deprecated, moduleResolution node deprecated, and subpath imports.
Primary entry point for building, managing, and orchestrating data pipelines on Google Cloud. Guides users to the appropriate skill for dbt, Dataflow (Apache Beam), Dataform, Spark (Dataproc Serverless), BigQuery Data Transfer Service (DTS) or orchestration pipeline using Cloud Composer. Clarify requirements and resolve ambiguity for creating, updating and running data pipelines.
Comprehensive Kubernetes cluster health diagnostics using dynamic API discovery. Use when checking cluster health, troubleshooting K8s issues, or running health assessments.
Generate clear, conventional commit messages from git diffs. Use when writing commit messages, reviewing staged changes, or preparing commits.
SOC II triage workflow for creating Linear tickets, branches, OpenSpec proposals, commits, and PRs. Use when asked to triage an issue, create a triage ticket, or start SOC II workflow.
Configure Frigate NVR with optimized YAML, object detection, recording, zones, and hardware acceleration. Use when setting up Frigate cameras, troubleshooting detection issues, configuring Coral TPU/OpenVINO, or integrating with Home Assistant.
Use these skills when you need to optimize storage, identify index issues, analyze table statistics, or manage autovacuum and tablespace configurations to maintain peak database health.
Search and retrieve documentation for libraries via Context7 API. Use for getting up-to-date documentation context for programming libraries like React, Next.js, etc.
Ensures proper Python dependency management, avoiding global `pip install` and adhering to project-specific tooling. Use this skill if any of the following are true: 1. Attempting to run `pip install {package_name}`. 2. Python packages or dependencies need to be added or modified. 3. Initiating a new Python project. 4. Creating a new notebook, even if just using BigQuery cells. 5. Generating Python code that includes `import` statements for third-party libraries. 6. Before executing Python scripts via the terminal to ensure the correct virtual environment is active.
Automates declarative resource creation and provisioning for data pipelines, supporting BigQuery, Dataform, Dataproc, BigQuery Data Transfer Service (DTS), and other resources. It manages environment-specific configurations (dev, staging, prod) through a deployment.yaml file. Use when: - Modifying or creating deployment.yaml for deployment settings. - Resolving environment-specific variables (e.g., Project IDs, Regions) for deployment. - Provisioning supported infrastructure like BigQuery datasets/tables, Dataform resources, or DTS resources via deployment.yaml. Do not use when: - Resources already exist. - Managing resources not supported by `gcloud beta orchestration-pipelines resource-types list`. - Managing general cloud infrastructure (VMs, networks, Kubernetes, IAM policies), which are better suited for Terraform. - Infrastructure spans multiple cloud providers (AWS, Azure, etc.). - Already uses Terraform for the target resources.
A repository of BigQuery-specific logic, knowledge, and specialized standards. Use this skill whenever you are doing anything with BigQuery, including: 1. BigQuery query optimization 2. BigFrames Python code 3. BigQuery ML/AI functions.