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Use when working on SAM 3 video segmentation, vaila_sam.py, checkpoint handling, or GPU memory issues.

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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).

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Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle.

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Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when interacting with gcsfuse: decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size file, stat, and list caches, tune mount flags or config-file settings, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace/HNS, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or bill spikes with gcsfuse metrics. Covers mount semantics, gcsfuse CLI and config files, GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration or data management without a mount (google-cloud-storage-basics) or fully POSIX-compliant shared file systems (Filestore, Managed Lustre).

日本語の概要は準備中です。原文の説明を表示しています。

Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use for uploading audience members (use the data-manager-api-audience-ingestion skill).

日本語の概要は準備中です。原文の説明を表示しています。

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.

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Resume work on the FIFA Skeletal Tracking Light 2026 challenge using vailá modules (SAM 3, soccer pitch keypoints, calibration, per-frame DLT). Use whenever the user reopens the project after closing the terminal, asks "where did we stop on FIFA?", or wants the next concrete commands to run from `~/data/vaila` with `.venv` already created.

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Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.

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Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.

日本語の概要は準備中です。原文の説明を表示しています。

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

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PM (Project Manager / Scrum Master) agent. Reads BA and TechLead artifacts and produces sprint plan, task breakdown, and story point estimates. Creates one tracked todo/checklist item per sprint task for live pipeline tracking (FR-42). Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

PM (Project Manager / Scrum Master) agent. Reads BA and TechLead artifacts and produces sprint plan, task breakdown, and story point estimates. Creates one TodoWrite entry per sprint task for live pipeline tracking (FR-42). Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

Creative problem-solving techniques for breaking through stuck points - includes collision-zone thinking, inversion, pattern recognition, and simplification

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Control LLM spend and Apex governor exposure for high-traffic Agentforce agents via per-user token budgets and graceful fallback when the budget is exhausted. NOT for reducing tokens per conversation in the first place — use agentforce/agentforce-cost-optimization. NOT for API rate-limiting of Salesforce REST endpoints — use integration/api-governance-and-rate-limits.

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Use when configuring Remote Site Settings to allow Apex callouts to external URLs, or distinguishing them from CSP Trusted Sites for Lightning component resource loading. NOT for storing an endpoint and its auth as a Named Credential — use integration/named-credentials-setup. NOT for allow-listing a URL the browser itself loads (script, iframe, fetch) — use security/csp-and-trusted-urls.

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Documenting As-Is and To-Be business processes for a Salesforce project as swim-lane diagrams — one lane per actor, explicit decision points, parallel and exception/sad paths, and per-step automation-tier annotations that drive downstream build decisions. Trigger keywords: As-Is To-Be salesforce process, swim lane salesforce, business process map, automation candidate identification, sad path documentation, process actor mapping, manual residue. NOT for Opportunity stage and exit-criteria design — use admin/sales-process-mapping. NOT for picking Flow vs Apex for one requirement — use admin/process-automation-selection.

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Use this skill when configuring MCAE (Account Engagement / Pardot) lead scoring models, grading profiles, score decay rules, or automation rules that fire on score/grade thresholds. Covers: scoring point values per activity, score decay for inactivity, Profiles for fit grading, combined MQL definitions (Score + Grade), and automation rules vs completion actions. NOT for defining the MQL model before build — use admin/lead-scoring-requirements. NOT for Engagement Studio nurture programs — use admin/lead-nurture-journey-design.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when configuring Health Cloud patient consent management: setting up HIPAA authorization forms, consent templates, consent tracking per patient, and withdrawal handling. NOT for querying the AuthorizationFormConsent object hierarchy or its required field values — use data/consent-data-model-health. NOT for GDPR/CCPA marketing opt-out on ContactPointTypeConsent — use security/gdpr-data-privacy.

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Configure and manage Field Service Lightning inventory: ProductItem (stock at locations), ProductTransfer (stock movement), ProductConsumed (parts used on work orders), ProductRequest/ProductRequestLineItem (replenishment ordering), ProductItemTransaction (audit trail). NOT for work orders, work types, or service appointments — use admin/fsl-work-order-management. NOT for ERP parts and inventory sync — use architect/fsl-integration-patterns. NOT for Omnichannel Inventory (OCI) — use architect/order-management-architecture.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when designing, troubleshooting, or reviewing FSL Mobile worker workflows — job lifecycle management, offline data capture, customer signature collection, parts consumption, and geolocation-triggered status transitions. Trigger keywords: FSL mobile, field service mobile workflow, offline job lifecycle, technician mobile, service appointment status, briefcase priming, parts consumption mobile, signature capture FSL. NOT for installing, branding, or extending the mobile app itself — use admin/fsl-mobile-app-setup. NOT for offline priming limits and sync conflict resolution — use architect/fsl-offline-architecture.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill to design, configure, and troubleshoot the Field Service Lightning (FSL) Optimizer — including selecting optimization type (Global, In-Day, Resource Schedule), understanding the priority-score model, configuring travel mode (Aerial vs Street-Level Routing), and tuning optimizer behavior for specific scheduling objectives. NOT for work rules and service-objective weights on a scheduling policy — use admin/fsl-scheduling-policies. NOT for ESO adoption and territory sizing — use architect/fsl-optimization-architecture.

日本語の概要は準備中です。原文の説明を表示しています。

Configure FSL Shifts, ShiftTemplates, ShiftPatterns, and Crew ServiceResources — availability windows layered on Operating Hours, bulk shift generation via ShiftPattern + ShiftPatternEntry, and the two Crew models (Static vs. Shell/Dynamic). NOT for setting up the resources themselves — types, skills, ResourcePreference — use admin/fsl-resource-management. NOT for capping how many hours or appointments a resource can take — use admin/fsl-capacity-planning.

日本語の概要は準備中です。原文の説明を表示しています。

Designing data stories and narrative-driven analytics in Salesforce: structuring CRM Analytics dashboards for executive communication, text widgets and conditional highlights for annotation, sequential narrative in Tableau Story sheets, and Einstein Discovery narrative REST endpoints. Trigger keywords: data storytelling dashboard, executive analytics narrative, CRM Analytics text widget annotation, Tableau story sheet, smart data discovery narrative API. NOT for building the Einstein Discovery story or prediction definition - use admin/einstein-discovery-setup. NOT for choosing between Reports, CRM Analytics and Tableau - use admin/einstein-analytics-basics.

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Entry point for the SfSkills Salesforce library: 1,040 skill packages across 11 domains (admin, agentforce, apex, architect, data, devops, flow, integration, lwc, omnistudio, security), 70 run-time agents and 92 slash commands. Use for any Salesforce, Force.com or Lightning Platform question — Apex, SOQL, SOSL, triggers, Flow, LWC, sObject, custom field, permission set, profile, sharing rule, validation rule, deployment, sandbox, Agentforce, OmniStudio, org setup. This skill does not answer Salesforce questions itself; it routes to the specific skill package that does, then hands off to a domain router.

日本語の概要は準備中です。原文の説明を表示しています。