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Found 14 Skills
Implements full disk encryption using Microsoft BitLocker on Windows endpoints to protect data at rest from unauthorized access in case of device loss or theft. Use when deploying encryption for compliance requirements, securing mobile workstations, or implementing data protection controls across the enterprise. Activates for requests involving BitLocker encryption, disk encryption, TPM configuration, or data-at-rest protection.
Comprehensive tmux skill covering process management, session/window orchestration, and ricing (visual customization). Use when managing tmux sessions, running dev servers, setting up floating panes, configuring status bars, installing plugins via TPM, or when the user asks about tmux, tmux-sessionx, tmux-floax, catppuccin tmux theme, or making tmux look good.
End-to-end headless setup of Trade Promotion Effectiveness (TPE) dashboards for a Trade Promotion Management (TPM) Cloud org, covering tenant pairing checks, permission sets, SSOT and Tableau Next enablement, C360 SDM verification, the TPM Accruals data kit install, business-period export, RTR Data Cloud export configuration, the TPM_PROMOTION_MEASURE Data Transform, TPE Analytics app install, and optional KPI dashboard customization. Use when a customer or admin wants to set up TPE dashboards, enable Trade Promotion Effectiveness, install the TPE analytics app, or set up and customize TPE dashboards with their own KPIs.
Deploy the TPM Accruals Data Kit components specifically required for Trade Promotion Effectiveness (TPE) dashboards. Use when a customer or admin wants to install or deploy the TPM data kit for TPE dashboards, or as a delegated step from consumer-goods-tpe-dashboard-configure. Do not use this skill if the customer wants to deploy the TPM Accruals Data Kit for the Accruals feature.
Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models from catalog, build RAG applications with knowledge indexes, create and evaluate AI agents, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, deploy model, model catalog, RAG, knowledge index, create agent, evaluate agent, agent monitoring, create Foundry project, new Foundry project, set up Foundry, onboard to Foundry, provision Foundry infrastructure, create Foundry resource, create AI Services, multi-service resource, AIServices kind, register resource provider, enable Cognitive Services, setup AI Services account, create resource group for Foundry, RBAC, role assignment, managed identity, service principal, permissions, quota, capacity, TPM, deployment failure, QuotaExceeded. DO NOT USE FOR: Azure Functions (use azure-functions), App Service (use azure-create-app), generic Azure resource creation (use azure-create-app).
Use when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding, incident-comms cascade, employee onboarding, expense reimbursement, system-access provisioning, customer-escalation playbook) — including 5W2H completeness checks (Who-What-When-Where-Why-How-HowMuch), cross-link and orphan-page validation across a sprawling Notion/Confluence/Obsidian wiki, KB ingestion + hygiene reporting, ops onboarding doc generation, and runbook step verification (named owner, expected duration, observable success signal, rollback path, escalation contact). Pairs Kaoru Ishikawa's 5W2H method, Atul Gawande's *The Checklist Manifesto*, ISO 9001, ITIL v4 Service Operation, FDA 21 CFR Part 211, and Google SRE Workbook runbook discipline with deterministic stdlib-only Python tools that score completeness, detect anti-patterns, and emit prioritized cleanup lists. Distinct from `engineering/llm-wiki` (Karpathy-style personal PKM second brain), `engineering-team/runbook-generator` (system-ops production debugging runbook), `project-management/*` (Jira/Confluence delivery + ticket tracking), and sibling `business-operations/process-mapper` (BPMN process *design*, while knowledge-ops is process *documentation*).
Analyzes observability signals from customer GenAI applications with DQL. Reads OpenTelemetry GenAI spans and LLM evaluation bizevents. Use for: golden signals (traffic, errors, latency, saturation); LLM signals (model, provider, tokens); cost/token analytics, usage attribution, and prompt caching; agent signals (tool calls, steps, failures, loop detection, Smartscape topology); conversation/session analytics; guardrails (blocked/truncated responses); and evaluation signals (quality, pass/fail). Trigger: "LLM latency", "token usage by model", "cost by model and provider", "cost per conversation", "who is driving token spend", "do I have prompt caching", "failing agent tool calls", "find runaway agents", "responses truncated or blocked", "failed evaluations", "am I hitting rate limits", "token throughput / TPM", "provider throttling or 429s". Do NOT use for: Davis CoPilot/MCP telemetry (dt-platform), generic service metrics (dt-obs-services), logs (dt-obs-logs), or non-GenAI tracing (dt-obs-tracing).
Expert knowledge for Azure Kubernetes Service Edge Essentials development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing AKS Edge/Arc clusters, Arc connectivity, IoT/OPC/ONVIF workloads, TPM/AI deployments, or gMSA, and other Azure Kubernetes Service Edge Essentials related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure IoT Edge (use azure-iot-edge), Azure Stack Edge (use azure-stack-edge), Azure Container Apps (use azure-container-apps).
Guides end-to-end lifecycle governance for mission-critical, high-assurance, or zero-failure- tolerance systems—concept through retirement: phases, gates, evidence, traceability, obsolescence, tech refresh, configuration baselines, NDA-safe regulated/classified patterns, assurance/DevSecOps/ ATO interfaces, decommissioning and data disposition. Use for extreme lifecycle, system lifecycle, mission-critical lifecycle, lifecycle gates, sustainment, tech refresh, obsolescence management, decommissioning, configuration baseline, lifecycle evidence, end-to-end lifecycle, or retire a system—not TPM-only (technical-program-manager), HRO-only (zero-tolerance-for-failure), tiering-only (mission-critical), classified pipeline-only (classified-software-devsecops-engineer), formal proofs (software-assurance-formal-methods-specialist), compliance-only (compliance-engineer), CI-only (build-validator), infra portfolio-only (vp-of-infrastructure).
Create, edit, render, and snapshot browser-native implicit CAD `.implicit.js` and `.implicit.mjs` files using GLSL signed-distance fields, shader primitives, smooth booleans, TPMS fields, and direct CAD Viewer raymarch rendering. Experimental.
Use to enable the Consumer Goods Cloud TPM Promotion Business Object (BO) API framework in a Salesforce org, interview the user for the custom Workflow Step they want to add, generate and deploy that Apex class, wire it into the create/update/copy workflows, and prove it end-to-end via headless REST ingest. Ships a worked reference example (SetCommentValue) but the customization is user-supplied per org. Triggers on "deploy the promotion BO API", "set up promotion BO API", "headless promotion create", "add a BO API workflow step".
When the user wants to optimize maintenance strategies, improve equipment reliability, reduce downtime, or implement predictive maintenance. Also use when the user mentions "preventive maintenance," "predictive maintenance," "TPM," "Total Productive Maintenance," "MTBF," "MTTR," "reliability analysis," "equipment maintenance," "condition monitoring," "CBM," "failure analysis," or "spare parts optimization." For quality improvements, see quality-management. For OEE, see lean-manufacturing.