GoogleCloudPlatform
- 264 skills
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- ▌ Genmedia Producer 2 · googlecloudplatformExpert media production assistant. Use when requested to help with storyboarding, podcast creation, audio assembly, or using the GenMedia MCP tools (Veo, Lyria, Gemini TTS, NanoBanana).
- ▌ Bigtable · googlecloudplatform bundleManage Google Bigtable instances/tables, design schemas, and query data using SQL or client libraries. Use for provisioning, schema updates, or code generation.
- ▌ Recaptcha Transaction Defense Integrator · googlecloudplatform bundleIntegrates reCAPTCHA Enterprise Transaction Defense and automates ground truth via PSP chargeback webhooks (Stripe, Adyen). Use when a user wants to protect transactions from fraud and close the feedback loop with automated annotations. Don't use for generic reCAPTCHA v2 checkbox integrations or non-transactional bot protection.
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- ▌ Fabric Builder · googlecloudplatform bundleGenerates idiomatic Cloud Foundation Fabric (CFF) Terraform code using CFF modules. Use when users ask to create GCP resources, use Fabric modules, or generate Terraform code for Google Cloud.
- ▌ Fast Prerequisites · googlecloudplatform bundleGuides the user step-by-step through the prerequisites for the FAST 0-org-setup stage, supporting both Standard GCP and Google Cloud Dedicated (GCD) environments. Use when a user asks to prepare or run prerequisites for 0-org-setup or bootstrap the FAST landing zone.
- ▌ Release Process · googlecloudplatformGuide for cutting a new release of the Cloud Foundation Fabric (CFF) repository. Use this skill when asked to create, prepare, or draft a new release.
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- ▌ Fast Setup Poc · googlecloudplatform bundleA wizard to help users configure FAST (Fabric Architecture Setup Tool) step-by-step. Use this skill when asked to configure FAST, run the FAST wizard, or setup FAST.
- ▌ Context Engineering Init · googlecloudplatform bundleOrchestrates the initialization workflow for context engineering, and provides helper workflow for setting up database connections by creating or updating tools.yaml configurations.
- ▌ Context Generation Guide · googlecloudplatform bundleGuidelines and best practices for generating context items (Templates, Facets, Value Searches). Use this skill whenever the user asks to create, author, or generate context for database enrichment, or asks for examples and instructions on how to write templates, facets, or value searches. It helps bridge the gap between LLMs and structured databases. For running the automated generation, evaluation, and tuning lifecycle, see the context-engineering-workflow skill.
- ▌ Context Engineering Evaluate · googlecloudplatform bundleGuides the agent to execute an evaluation of a ContextSet against a golden NLQ+SQL dataset using the Evalbench framework.
- ▌ Context Engineering Workflow · googlecloudplatformContext engineering for Gemini Data Analytics API's data agent developer platform tools. Generates, evaluates, and iteratively optimizes a ContextSet (Templates, Facets, Value Searches) to maximize Natural-Language-to-SQL translation accuracy. Use this skill to run the automated setup, NL-SQL pair evaluation dataset generation and expansion, bootstrapping, scoring, and optimization pipeline. For manual authoring standards and schema syntax rules, see the context-generation-guide skill.
- ▌ Context Engineering Bootstrap · googlecloudplatformGuides the agent to bootstrap an initial ContextSet (templates, facets, and value searches) by deducing key information from the database schema and generating a ContextSet file.
- ▌ Context Engineering Hillclimb · googlecloudplatformGuides the agent to perform hill-climbing iterations to improve a ContextSet based on Evalbench evaluation results.
- ▌ Context Engineering Dataset Generation · googlecloudplatform bundleGenerate or expand a golden evaluation dataset of SQL/Question (NLQ+SQL) pairs for evaluating NL-to-SQL translation accuracy on a target database.
- ▌ Migration Helper Init · googlecloudplatform bundleInitialize a new YARA-L rule directory structure and YARA-L rule file from the template.
- ▌ Migration Helper Format · googlecloudplatformTake a source SIEM rule and format its content for readability, then insert it into a YARA-L rule template.
- ▌ Migration Helper Extract · googlecloudplatformExtract unstructured legacy rules from a raw text file and structure them into valid JSON.
- ▌ Migration Helper Validate · googlecloudplatformValidate a YARA-L rule's syntax against the Google SecOps MCP server and self-correct any errors.
- ▌ Migration Helper Recommend · googlecloudplatformRun the recommender script to generate recommendations for SecOps curated/community rules based on custom rules.
- ▌ Migration Helper Author Notes · googlecloudplatformAuthor rule notes, parameters, dependencies, tuning, and testing sections for a YARA-L rule.
- ▌ Migration Helper Generate Log · googlecloudplatformGenerate a raw sample log entry in the original source format that will trigger the migrated YARA-L rule.
- ▌ Migration Helper Migrate Rule · googlecloudplatformFull orchestration workflow to migrate a custom SIEM rule to YARA-L, running all sub-steps sequentially.
- ▌ Migration Helper Generate Rule · googlecloudplatformMigrate a source rule section in a YARA-L file into YARA-L 2.0, adhering to precise Google SecOps schemas.
- ▌ Persona UX · googlecloudplatform bundleAdopts the UX Specialist persona. Focuses on the visual impact, layout stability, and accessibility of the workstation's desktop environment and dashboards.
- ▌ Persona Oss · googlecloudplatform bundleAdopts the Open-Source Expert persona. Ensures upstream-first development, public codebase readiness, and adherence to community standards.
- ▌ Persona Sre · googlecloudplatform bundleAdopts the Site-Reliability Engineer (SRE) persona. Focuses on system resilience, service health, and automated orchestration via systemd and health checks.
- ▌ Persona Swe · googlecloudplatform bundleAdopts the Software Engineer persona. Focuses on functional correctness, structural integrity, and architectural hygiene, including Source Code Versioning History Refactoring.
- ▌ Persona Legal · googlecloudplatform bundleAdopts the Legal Expert persona. Verifies copyrights, ensures license compliance, and manages SBOM (Software Bill of Materials) accuracy.
- ▌ Persona Privacy · googlecloudplatform bundleAdopts the Privacy Expert persona. Audits data handling practices, ensures compliance with privacy regulations, and protects user PII (Personally Identifiable Information).
- ▌ Persona Security · googlecloudplatform bundleAdopts the Security Expert (SEC) persona. Focuses on system hardening, vulnerability auditing, and the protection of sensitive credentials and data.
- ▌ Deploy Workstations · googlecloudplatformAssists Hackathon Admins and Platform Engineers in customizing the Cloud Workstations blueprint. Generates a terraform.tfvars file based on interactive Q&A and runs terraform plan.
- ▌ Persona Agent Manager · googlecloudplatform bundleAdopts the Agent Manager persona. Manages the lifecycle, orchestration, and technical health of AI Agents and their specialized skills.
- ▌ Validate Image Updates · googlecloudplatform bundleEnforces the mandatory sequential validation workflow when a new workstation image is built or the codebase is modified.
- ▌ Update Preflight · googlecloudplatform bundleManages preflight web app UX/UI constraints, layout stability, and the frontend hot-patching deployment process. Use when modifying HTML, CSS, or JS in the apps/workstations/preflight-web/ directory.
- ▌ Create Skill · googlecloudplatform bundleGuides the design, scaffolding, authoring, validation, and registration of new agentic developer skills following Cortex Framework standards and anatomy rules.
- ▌ Query Sap Ddic · googlecloudplatform bundleInspects and dumps SAP table schemas directly from replicated SAP DDIC tables (DD01L, DD02L, DD02T, DD03L, DD04L, DD04T, DD08L) in BigQuery.
- ▌ Create Data Product · googlecloudplatform bundleInstructions on how to create and scaffold a new data product in Cortex Framework V7.
- ▌ Create Python Tests · googlecloudplatform bundleInstructions on how to write Python unit tests to verify a Cortex data product's transformation logic, filters, and field mappings.
- ▌ Generate Er Diagram · googlecloudplatform bundleGenerates Entity-Relationship (ER) diagrams from Cortex data product(s) in dot notation, mermaid diagrams, or draw.io XML formats.
- ▌ Setup Cortex Config · googlecloudplatform bundleGuides the setup and configuration of the Cortex Framework config.yaml file, validating GCP projects, BigQuery datasets, locations, and Dataform target settings.
- ▌ Update Data Product · googlecloudplatform bundleDetailed steps and quality gates for updating or modifying existing data products in Cortex Framework V7.
- ▌ Using Cortex Skills · googlecloudplatform bundleDiscovers and invokes Cortex external agent skills. Use when starting a session or when you need to discover which skill applies to the current task.
- ▌ Validate Data Product · googlecloudplatform bundleInstructions on how to validate an existing or newly created data product in Cortex Framework V7 with mandatory granular status reporting.
- ▌ Data Modeling Standards · googlecloudplatform bundleReference guide for business rules, naming conventions, and data modeling standards enforced during data product development.
- ▌ Build And Deploy Data Product · googlecloudplatform bundleInstructions on how to build and deploy a data product in Cortex Framework V7.
- ▌ Smt Functional Testing · googlecloudplatform bundleFunctionally tests local Dataflow pipeline changes against the main branch using ephemeral GCP resources and gated approvals. Use ONLY when functionally testing one of these specific migration templates: gcs-spanner-dv, sourcedb-to-spanner, datastream-to-spanner, spanner-to-sourcedb. Skip entirely for other templates. Don't use for deploying templates to production or debugging a running production pipeline without testing.
- ▌ Smt E2e Dataflow Debugging · googlecloudplatform bundleDebugs logical errors and data discrepancies in Dataflow templates by launching jobs via Terraform and comparing source (e.g. Cloud SQL) vs destination (e.g. Spanner) data. Use ONLY when the pipeline launches and runs to completion (terminal state) but exhibits data discrepancies or logical issues. Do NOT use for debugging template startup/runtime crashes or staging/building new templates.
- ▌ Meta Test Orchestrator · googlecloudplatformTemplate-agnostic Orchestrator Skill for generating and executing exhaustive testing suites for any migration template. It will generate the functional and datatype related test for the source.
- ▌ Add Integ Tests Gcs Spanner Dv · googlecloudplatformSpecific runner skill that creates integration tests for the gcs-spanner-dv (Data Validation) template.
- ▌ Add Source Datatype Integ Test · googlecloudplatformSkill for adding data type integ tests for new source by provided datatype_mapping_matrix.
- ▌ Add Source Functional Integ Test · googlecloudplatformSkill for adding functional integ test for new source by taking reference from existing MySQL integ tests.
- ▌ Add Source Sourcedb To Spanner · googlecloudplatformGuide for implementing a database source connector in the v2/sourcedb-to-spanner forward migration Dataflow template. Details scope boundaries, prerequisites, connector implementations, registry registrations, unit testing, and smoke testing guidelines.
- ▌ Add Source Spanner To Sourcedb · googlecloudplatformGuide for implementing a database source connector in the v2/spanner-to-sourcedb reverse migration Dataflow template. Details scope boundaries, prerequisites, connector implementations, registry registrations, unit testing, and smoke testing guidelines.
- ▌ Add Source Datastream To Spanner · googlecloudplatformGuide for implementing a database source connector in the v2/datastream-to-spanner forward migration Dataflow template. Details scope boundaries, prerequisites, connector implementations, registry registrations, unit testing, and smoke testing guidelines.
- ▌ Add Integ Tests Sourcedb To Spanner · googlecloudplatformSpecific runner skill that delegates to the Template-Agnostic Meta-Test Orchestrator for the sourcedb-to-spanner (Bulk) template.
- ▌ Add Integ Tests Spanner To Sourcedb · googlecloudplatformSpecific runner skill that delegates to the Template-Agnostic Meta-Test Orchestrator for the spanner-to-sourcedb (Reverse Migration) template.
- ▌ Add Integ Tests Datastream To Spanner · googlecloudplatformSpecific runner skill that delegates to the Template-Agnostic Meta-Test Orchestrator for the datastream-to-spanner (CDC) template.
- ▌ Agent Aware CLI · googlecloudplatformGuide for designing and implementing command-line interfaces (CLIs) that are equally usable by human developers and automated coding agents. Use when the user wants to build a CLI, apply CLI best practices, or use Go with Cobra and Viper.
- ▌ Story Generator · googlecloudplatform bundleExpert in generating full multi-scene multimedia storybooks (image, video, voice, and music) with dynamic duration probing, conversational tempo guardrails, a dedicated self-correcting Editor's QC Room, and pipeline flowcharts embedded in interactive reports.
- ▌ Genmedia Producer · googlecloudplatformExpert media production assistant. Use when requested to help with storyboarding, podcast creation, audio assembly, or complex multi-step media workflows using the GenMedia MCP servers (Veo, Lyria, Gemini TTS, NanoBanana).
- ▌ Build MCP Genmedia · googlecloudplatform bundleBuilds the mcp-genmedia Go MCP servers (nanobanana, veo, lyria, gemini-multimodal, chirp3-hd, avtool) from source and wires them into settings.json. Use this skill whenever the MCP tools are missing or broken — typically at the start of a new session, after a container restart, or when /tmp has been wiped. The prebuilt binaries in /workspace/.local/bin/ have no exec bit and live on a noexec mount; this skill compiles fresh executables into /tmp/bin/ where execution is allowed.
- ▌ Install MCP Genmedia · googlecloudplatformInstalls Google's GenMedia MCP servers (Lyria, NanoBanana, Veo, Chirp, AVTool) via curl from pre-compiled release binaries and registers them in mcp_config.json. Use when the required media synthesis tools are missing or inactive.
- ▌ Genmedia Image Artist · googlecloudplatformExpert in AI image generation and editing. Use when the user needs high-quality textures, character-consistent visuals, or image-to-image editing using mcp-nanobanana-go.
- ▌ Genmedia Video Editor · googlecloudplatformExpert in video composition, editing, and format conversion. Use when the user wants to generate high-quality video, overlay images on video, concatenate clips, create GIFs, or sync audio to video using mcp-avtool-go and mcp-veo-go.
- ▌ Genmedia Audio Engineer · googlecloudplatformExpert in audio synthesis, music generation, and mixing. Use when creating podcasts, background scores, or multi-track audio layering using mcp-chirp3-go, mcp-lyria-go, mcp-gemini-go, mcp-nanobanana-go, and mcp-avtool-go.
- ▌ Genmedia Voice Director · googlecloudplatform bundleExpert in casting, directing, and generating expressive text-to-speech using Gemini TTS. Use this when the user needs virtual voice actor personas, expressive speech generation, or multiple variations of a voiceover (like "take 3 on the bounce").
- ▌ Genmedia Image · googlecloudplatformGenerate images from a text prompt (optionally guided by reference images) using the genmedia Nanobanana MCP server's nanobanana_image_generation tool. Use when a task needs a still image produced from a description, with control over aspect ratio, resolution, and local vs GCS output, and verified by confirming the artifact was actually written.
- ▌ Ingress2gateway · googlecloudplatform bundleAutomates migrating legacy GKE Ingress resources to the modern Gateway API. Use when migrating legacy GKE or NGINX Ingress resources to GKE Gateway API specifications.
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- ▌ Spark Lightning Optimization · googlecloudplatformSkill: Serverless Spark & Lightning Engine Optimization
- ▌ Legacy App Generator · googlecloudplatformGenerates a legacy application source code for migration and modernization demos based on a specified tech stack.
- ▌ Spanner Provisioning · googlecloudplatformGuidelines and rules for provisioning Google Cloud Spanner instances, including selecting the correct edition (Enterprise vs Standard) and compute capacity based on schema features (e.g., graphs and vector search) and environment purpose.
- ▌ Ad Copywriting · googlecloudplatform bundleGoogle Ads copywriting expertise. Covers Responsive Search Ad (RSA) best practices, headline formulas, description frameworks, and character limits. Load this skill when generating text ads, headlines, or ad copy.
- ▌ Brand Strategy · googlecloudplatformBrand strategy and campaign positioning expertise. Covers audience segmentation, competitive differentiation, value proposition frameworks, and campaign brief creation. Load this skill when setting up campaigns, selecting audience segments, or defining creative direction.
- ▌ Platform Specs · googlecloudplatformAd platform specifications and best practices. Covers Google Ads, YouTube, Instagram, TikTok, and Meta ad formats, dimensions, character limits, and optimization tips. Load this skill when creating platform-specific content or recommending campaign settings.
- ▌ Trend Analysis · googlecloudplatformMarket trend analysis and product-trend mapping expertise. Covers how to interpret trend data, align products to cultural moments, and create trend-informed campaign angles. Load this skill during the Creative Research Phase when running trend_spotter and product_trend_mapper.
- ▌ Visual Direction · googlecloudplatform bundleVisual art direction expertise for marketing imagery. Covers photography styles, composition rules, color theory, lighting techniques, and product staging. Load this skill when generating image ads, asset sheets, moodboards, or keyframe images.
- ▌ Video Storytelling · googlecloudplatform bundleCinematic video ad storytelling expertise. Covers 3-act narrative structure, emotional arcs, camera motion, scene transitions, and voiceover pacing for 10-second commercial video ads using Gemini Omni. Load this skill when generating video ads or storylines.
- ▌ Cxas Sim Eval · googlecloudplatform bundleConverts CXAS golden evaluations to SCRAPI SimulationEvals test cases. Use when generating high-level, goal-oriented test cases from turn-by-turn evaluation JSONs, and when enriching test expectations with inferred tool calls.
- ▌ Cxas Agent Foundry · googlecloudplatform bundleEnd-to-end GECX/CXAS/CES conversational agent lifecycle -- build agents from requirements (PRD-to-agent), create and run evals (goldens, simulations, tool tests, callback tests), debug failures, and iterate to production quality. Use this skill whenever the user mentions GECX, CXAS, CES, SCRAPI, conversational agents, voice agents, audio agents, agent evals, pushing/pulling/linting agents, or agent instructions/callbacks/tools on the Google Customer Engagement Suite platform.
- ▌ Cxas Loss Analysis · googlecloudplatform bundleRetrieves non-contained CCAI Insights conversations (losses), uses agent intelligence to cluster them into common failure patterns, and generates a markdown report. Use when you need to analyze failure patterns and build targeted regression/evaluation reports.
- ▌ Cxas Dfcx Migration · googlecloudplatform bundleMigrate Dialogflow CX (DFCX) agents to CXAS (Customer Experience Agent Studio) agents. Use this skill when the user mentions DFCX migration, migrating agents, converting DFCX to CXAS, porting agents, agent migration, or post-migration optimization/consolidation. Four independently runnable scripts: migrate.py (1:1), stage_1.py (variable dedup + consolidation), stage_2.py (instruction state machines + tool mocks + lint + report), stage_3.py (rewires consolidated topology from source dep graph; only needed when stage_1 ran consolidation). State persists between scripts via <target>_ir.json so each can run / re-run / resume independently.
- ▌ Cxas Autolabel Rules · googlecloudplatform bundleAuthor, validate, and manage Contact Center AI (CCAI) Insights Autolabeling Rules. Use when users want to translate business labeling logic into CEL condition expressions, maintain declarative autolabel_rules.yaml configurations, or synchronize rules to GCP projects.
- ▌ Cxas Cuj Report Generator · googlecloudplatform bundleAutomates the ingestion of customer requirement documents such as diagrams, BRDs, code etc., synthesizes high-fidelity natural transcripts, and compiles them into highly interactive, responsive Critical User Journey (CUJ) reports.
- ▌ Cxas Configurable Dashboards · googlecloudplatform bundleAuthor, validate, and manage Contact Center AI (CCAI) Insights Configurable Dashboards. Use when users want to define multi-tab analytics dashboards, configure Vega-Lite charts and SQL queries, maintain declarative dashboards.yaml configurations, or synchronize dashboards to GCP projects.
- ▌ Cxas Drawio Ingestor · googlecloudplatformExtracts conversational transcripts from .drawio XML files.
- ▌ Adk Framework Ingestor · googlecloudplatformParsing and ingestion directives for the Python-based Agent Development Kit (ADK) conversational agent framework.
- ▌ Dfcx Framework Ingestor · googlecloudplatformParsing and Ingestion directives for the Dialogflow CX (DFCX) agent structure.
- ▌ Cxas Cyara Ingestor · googlecloudplatformExtracts conversational transcripts from Cyara XML test case files.
- ▌ Task Coverage Protocol · googlecloudplatform bundleEnforces 100% task and file ingestion coverage via an asynchronous, supervisor-driven state polling mechanism.
- ▌ Cxas Protocol Robust Extraction · googlecloudplatformA robust methodology for LLM-based requirements gathering and high-fidelity artifact generation. Employs 'Divide, Conquer, and Verify' tactics using specialized subagents, iterative exhaustion loops, and batched execution to ensure zero data loss.
- ▌ Cxas Protocol Two Phase Ingestion · googlecloudplatformA two-phase protocol for extracting structure and generating transcripts from customer artifacts.
- ▌ Deploying · googlecloudplatformGuides deployment of Race Condition to a GCP project. Use when deploying to the cloud, setting up infrastructure with Terraform, or troubleshooting a deployment. This is for cloud deployment -- for local development, use the getting-started skill instead.
- ▌ Contributing · googlecloudplatformGuides the developer workflow for contributing to Race Condition. Use when setting up pre-commit hooks, running tests before a PR, understanding code style requirements, or preparing a contribution.