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Found 11,863 Skills
Guides product support specialist work—customer tickets about how the product works, configuration, permissions, workflows, and expected behavior; empathetic replies, triage and routing, macro and KB guidance, feature-request capture, and escalation to technical support or product when needed. Use when answering "how do I…" questions, clarifying plan limits, drafting support responses, deciding bug vs education vs config issue, or documenting feedback—not for deep log/API debugging and engineering repro (support-engineer), billing/dunning programs (customer-ops-specialist), exec/VIP escalation programs (community-executive-escalations-program-manager), or public API reference authoring (tech-writer-researcher), or structured developer training programs (developer-education-lead).
Guides Site Reliability Engineering—SLI/SLO and error budgets, reliability dashboards and burn-rate alerting, production readiness reviews, capacity planning for availability, toil reduction, dependency and failure-mode analysis, release reliability (canaries, rollback criteria), and service-owner incident mitigation tied to customer impact. Use when defining or operating SLOs, measuring error budget burn, improving service reliability, running PRRs before launch, planning scalable resilient capacity, or leading technical mitigation during outages—not for CI/CD pipeline implementation (devops), incident program and paging policy design (incident-management-engineer), cloud access and patch tickets (cloud-system-administrator), load-test profiling (performance-engineer), rollout cutover strategy (deployment-strategist), or greenfield cloud build-out (cloud-engineer).
Build and operate predictive models for logistics networks—demand forecasting at SKU/location/lane granularity; inventory positioning and safety stock optimization interfaces; ETA and lead-time prediction; capacity and congestion signals; route and network flow forecasting at model-integration level; cold chain and perishables; promotion and seasonality; model monitoring, drift, and backtesting against operational KPIs (fill rate, OTIF, WMAPE/MAPE). Use for predictive logistics, demand forecasting logistics, ETA prediction, inventory positioning, safety stock optimization, OTIF forecast, lane demand, WMAPE, logistics ML, capacity forecasting logistics, or cold chain forecast—not pure OR/MIP without logistics domain (operations-research-algorithm-developer), supply chain strategy only (supply-chain-manager), WMS feature dev (wms-developer), fleet telematics ingestion (geospatial-telematics-developer), generic ML without logistics (data-scientist), or EDI document mapping (edi-engineer).
Guides enterprise data center portfolio planning and execution—multi-site capacity roadmaps, investment prioritization (build, expand, refresh, exit, colo vs owned), portfolio RAID and dependency management across DC programs, stage-gate governance, capex/opex alignment, regional and resiliency strategy, and steering-committee reporting. Use when prioritizing several DC initiatives, harmonizing site plans over 3–5 years, tracking a portfolio of hall builds and refreshes, or aligning facilities/IT/finance on DC investments—not for a single hall MEP design (data-center-design-execution-lead), host-level utilization (data-center-compute-supply-efficiency), generic software programs (technical-program-manager), or cloud IaC (infrastructure-engineer). For executing approved MW/rack delivery on schedule, use senior-data-center-capacity-delivery-manager.
Guides senior front-end software engineering—TypeScript/React/Next.js architecture, component design, client and server rendering, state and data fetching, styling and design systems, accessibility (WCAG), performance (Core Web Vitals), testing, and senior-level UI code review. Use when building or refactoring complex UIs, designing component APIs, optimizing LCP/INP/CLS, implementing accessible interactions, integrating design tokens, or reviewing front-end PRs—not for backend APIs or databases (fullstack-software-engineer, senior-fullstack-developer), design-only critiques without implementation, CI/CD (devops), or cross-service system RFCs (senior-software-engineer). For implementing screens from design specs, component states, and visual QA, use ui-software-engineer. Deep perf investigations and load/RUM analysis: performance-engineer.
Guides embedded real-time firmware—MCU tradeoffs, bare-metal vs RTOS (FreeRTOS/Zephyr patterns), task priorities/deadlines/jitter, ISR deferred work, stack/heap policy, WCET/timing analysis, concurrency and priority inversion, drivers/HAL, JTAG/SWD/trace, power modes, MISRA C awareness, safety-aware automotive/medical/industrial patterns without certification claims. Use for embedded firmware, RTOS scheduling, drivers/HAL, IRQ design, memory policy, WCET, bring-up, low-power—not HIL security (hardware-in-the-loop-security-tester), backend apps (senior-software-engineer), SCADA/OT (scada-ics-cyber-security-specialist), server perf (performance-engineer), RTL-only without firmware, CI gates (build-validator), tiering only (mission-critical).
Generates a self-contained Python experiment client that uses the ddtrace.llmobs SDK. Emits either a runnable .py script or a Jupyter .ipynb notebook matching the canonical DataDog reference notebook style. Use when the user says "generate Python experiment", "write an SDK experiment", "create a ddtrace experiment", "Python notebook experiment", "use the LLM Obs SDK", or has `ddtrace` installed and wants idiomatic SDK code.
End-to-end pipeline from unlabeled ml_app traces to a bootstrapped evaluator suite. Runs trace classification → root cause analysis → eval bootstrap in sequence with user checkpoints. Use when user says "run the eval pipeline", "go from traces to evals", "bootstrap evals end to end", "classify then RCA then bootstrap", "build an eval set from scratch", or wants a guided walkthrough from production data to evaluator code.
Creates and edits Excel spreadsheets with formulas, formatting, and financial modeling standards. Use when working with .xlsx files, financial models, data analysis, or formula-heavy spreadsheets. Covers formula recalculation, color coding standards, and common pitfalls.
Standard template + checklist for scoping market research projects.
Comprehensive SAP Joule CLI (formerly sapdas CLI) assistant for managing digital assistants from the command line — compiling capabilities, deploying assistants, running BDD tests, linting, and troubleshooting errors. Use this skill whenever the user mentions "joule cli", "sapdas", "joule compile", "joule deploy", "joule test", "joule login", "joule lint", digital assistant deployment, capability compilation, DAAR files, RTA artifacts, or any task involving the Joule command line interface — even if they just say something like "deploy my assistant" or "how do I log in to Joule from the terminal". Also trigger when the user asks about testing Joule capabilities with Cucumber, linking AI assistants, managing deployed assistants, or automating Joule workflows in CI/CD pipelines.
Use when the user wants to build a Python Kafka producer or consumer, add Schema Registry to existing Python code, migrate from raw JSON to schema-backed serialization, or scaffold a confluent-kafka-python project for Confluent Cloud, local Docker, or WarpStream. Also use when user wants to optimize Python Kafka client configuration for WarpStream.