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Found 11,891 Skills
Guides identity and access management—workforce and machine identity lifecycle, RBAC/ABAC/PBAC entitlement design, access reviews and recertification, SSO/SAML/OIDC federation, privileged access (PAM/JIT), cloud IAM least privilege (AWS/GCP/Azure concepts), service accounts and secrets hygiene, and separation of duties. Use for IAM, identity governance, access review, RBAC, least privilege, SSO federation, PAM, privileged access, cloud IAM policy, service account, or SoD—not full cloud landing zone architecture (enterprise-cloud-architect), broad cloud security controls (cloud-security-engineer), day-2 break-glass ticket execution only (cloud-system-administrator), pentest (penetration-tester), or legal/HR policy drafting only.
Guides supply chain management—sourcing and supplier qualification, procurement and PO governance, demand forecasting and inventory policy, logistics and fulfillment (3PL, Incoterms, lead times), supplier scorecards, cost and TCO analysis, supply risk and continuity, and SCM KPI dashboards. Use when designing supply strategy, running RFQs, setting safety stock, resolving stockouts or excess inventory, improving OTIF, dual-sourcing critical parts, or building supplier business reviews—not for contract legal redlines (commercial-counsel), vendor security assessments (information-security-engineer), DC construction delivery programs (senior-data-center-capacity-delivery-manager), compute GL and invoice reconciliation (compute-accounting-manager), SaaS quote-to-order (deal-operations-administrator), or enterprise strategy cases (business-consultant).
Guides customer-facing and internal technical solution design—discovery and requirements, integration and reference architecture, security/compliance fit, sizing and cost framing, RFP/RFI responses, PoC scoping, build-vs-buy, and handoff to delivery. Use when scoping a customer or partner solution, designing integration architecture for a deal, drafting RFP/RFI technical responses, planning a proof-of-concept, framing security and compliance fit, or preparing solution decks for stakeholders—not for org-wide landing zones and Well-Architected programs (cloud-architect, enterprise-cloud-architect), internal product ADRs and C4 (senior-system-architecture), production Terraform/IaC (infrastructure-engineer), hands-on cloud resource config (cloud-engineer), live PoC execution and competitive demos (sales-engineer), business strategy without technical design (business-consultant), contract redlines (commercial-counsel), or deep FinOps/GL (finops-analyst, compute-accounting-manager).
Guides FinOps analysis on AWS, GCP, and Azure—cost visibility and allocation, tagging and showback/chargeback models, rightsizing and waste removal, RI/Savings Plan/CUD recommendations, budgets and forecasts, anomaly detection, unit economics (cost per service/customer), and FinOps cadence with engineering accountability. Use when optimizing cloud spend, analyzing CUR/billing exports, building cost dashboards, explaining bill spikes, or improving allocation—not for GL mapping, capex, depreciation, or month-end ledger close (compute-accounting-manager), enterprise EA negotiation (enterprise-cloud-architect), hands-on resource provisioning (cloud-engineer), or hardware supply efficiency (data-center-compute-supply-efficiency).
Understands the Metabase Representation Format — a YAML-based serialization format for Metabase content (collections, cards, dashboards, documents, segments, measures, snippets, transforms). Use when the user needs to create, edit, understand, or validate Metabase representation YAML files, or when working with Metabase serialization/deserialization (serdes). Covers entity schemas, MBQL and native queries, visualization settings, parameters, and folder structure.
Migrates a project from Metabase Full App / Interactive (iframe-based) embedding to Modular (web-component-based) embedding. Use when the user wants to replace Metabase iframes with Modular embedding web components.
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADX clusters, private endpoints, follower DBs, streaming ingestion, or Power BI integration, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks).
Metrics framework for monitoring engagement, progression, and completion.
Drizzle ORM for type-safe SQL with PostgreSQL, MySQL, and SQLite. Use when defining schemas, writing queries, managing relations, running migrations, or using drizzle-kit. Use for drizzle, orm, schema, query, migration, pgTable, relations, drizzle-kit, drizzle-zod.
Design structured logging systems with context propagation. Use to ensure Python applications are observable and logs are machine-readable.
Analyzes Kubernetes resource usage metrics and historical data to suggest optimal CPU and Memory requests and limits. Use to reduce cloud costs, prevent OOMKills, and improve overall cluster reliability by right-sizing your deployments.
Remediate OS and base-image CVEs in Docker-hosted applications. Use for base image candidate discovery, Docker Scout based comparison, Dockerfile updates, and OS remediation reporting.