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Found 59 Skills
Sets up and configures Google Kubernetes Engine (GKE) clusters for production use. Use when creating new GKE clusters, choosing between Autopilot vs Standard modes, configuring networking (VPC-native, private clusters), setting up node pools, or planning cluster architecture for Spring Boot microservices. Includes regional vs zonal decisions, security hardening, and resource provisioning guidance.
Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.
End-to-end autopilot orchestrator for setting up Microsoft Teams integration in Salesforce Service Cloud ITSM — runs the whole flow (enable the Teams for Employee Service Go feature, register the Microsoft Entra app, populate Named Credentials, configure the IT Desk and IT Service checklists, turn on Swarming, and optionally embed the Agentforce agent) in one continuous pass, stopping only at the points a human must act. Use when the user asks to set up Microsoft Teams for ITSM end to end, 'set up teams for it service', 'do the whole teams itsm setup', 'configure microsoft teams for employee service', or wants a guided Teams ITSM walkthrough. Delegates each stage to a specialized child skill while driving the sequence itself. DO NOT TRIGGER when the user asks to enable Teams alone, configure just the IT Desk or IT Service checklist alone, or enable Swarming alone — delegate directly to the specific child skill in those cases.
FORGE Autopilot — Intelligent autonomous mode. FORGE analyzes the project state, automatically decides the next action, and orchestrates all agents until completion. Configurable checkpoints for human review. Usage: /forge-auto or /forge-auto "specific objective"
When the user wants to set up a recurring, self-running marketing workflow — a repeatable loop an AI agent runs on a cadence (weekly, daily, on a trigger) rather than a one-off task. Also use when the user mentions 'marketing loop,' 'recurring marketing workflow,' 'automate my marketing,' 'marketing on autopilot,' 'weekly marketing review,' 'ad fatigue check,' 'content refresh loop,' 'churn watch,' 'ranking drop alert,' 'always-on marketing,' 'marketing automation workflow,' or 'run this every week.' Use this to pick, adapt, and schedule an ongoing marketing loop that orchestrates the other marketing skills. For one-off marketing ideas, see marketing-ideas. For the experimentation loop specifically, see ab-testing.
Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists, maintenance runbooks with gcloud commands, release channel strategy, and troubleshooting guides. Handles node pool upgrade strategies (surge, blue-green), version compatibility, PDB management, and workload-specific concerns (stateful, GPU, operators). Use this skill whenever the user mentions GKE upgrades, Kubernetes version bumps, node pool maintenance, GKE patching, cluster version management, release channel selection, maintenance windows, surge upgrades, stuck upgrades, or any GKE lifecycle management task — even casual mentions like "we need to upgrade our clusters" or "plan our next GKE maintenance" or "our upgrade is stuck." Don't use for GKE cluster creation, application onboarding, general networking/routing setup, or security policy configurations (use gke-basics or relevant GKE skills instead).
Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod troubleshooting (use gke-workload-troubleshooting), or cluster infrastructure provisioning (use gke-cluster-creation).
Shadow platform help — bot-free AI meeting assistant capturing audio + screen on macOS, on-device transcription, autopilot meeting detection, AI summaries/action items/follow-up emails, Skills system for custom post-meeting tasks. Use when setting up Shadow for the first time, Shadow not detecting meetings automatically, Shadow using too much CPU or memory on Mac, Shadow speaker attribution is wrong, Shadow screen capture not working, Shadow free tier ran out of AI meetings, choosing between Shadow and Granola or Jamie or Bluedot for bot-free recording, or exporting Shadow notes to Markdown or Zapier. Do NOT use for choosing between all AI note-takers (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).
One-shot autopilot orchestrator — runs the full spark-video pipeline (screenwriter ↔ director per-scene parallel → render chain-DAG parallel + per-clip review → stitch). User confirms at 4 gates (+ 1 mode gate at start + 1 BGM gate when bgm/ folder detected). Use when the user wants "make me an episode" in one command.
Seamless.AI platform help — Prospector, Buyer Intent, Job Changes, CRM Enrich, Pitch Intelligence, Engagement Hub (email, calling, social), AI Agents, Autopilot, Chrome extension, API. Use when asking 'how do I do X in Seamless.AI', configuring Seamless.AI settings, searching for contacts/companies, setting up Buyer Intent, using Pitch Intelligence, managing AI Agents, or using the Seamless.AI API. Do NOT use for building prospect lists (use /sales-prospect-list), enriching contacts across tools (use /sales-enrich), interpreting buying signals across tools (use /sales-intent), cadence strategy (use /sales-cadence), cross-platform deliverability (use /sales-deliverability), or sales content strategy (use /sales-content).
UiPath IXP (Document Understanding) via `uip ixp` — create projects (with autopilot taxonomy suggestion, an imported taxonomy file, or empty), upload/download/delete documents, author the taxonomy (field groups, fields, data types, per-field and overall extraction instructions), configure the extraction model and pre-processing, review/confirm/unconfirm predictions, mark fields missing, pull metrics and model versions, publish/tag/roll back model versions, deploy a trained version to an Orchestrator folder and move an existing deployment to another version (`deployments create`/`upgrade`/`list`). DO NOT TRIGGER during .flow / Maestro Flow work — discovering or listing IxP / document-extraction models, extractors, or nodes available to Maestro Flow, and adding or wiring an IxP node, belong to uipath-maestro-flow even when they sound like IXP model management.
Manage OpenClaw bot configuration - channels, agents, security, and autopilot settings