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Found 42 Skills
Install ADBC (Arrow Database Connectivity) drivers with dbc. Use when the user wants to install database drivers and connect to databases.
Query Windows 11 version 24H2 cumulative update file information. Search for DLLs, drivers, and system files across all patch levels. Compare file versions between builds, track version history, and identify what changed in each update. Use when: (1) investigating which Windows build introduced a file version, (2) comparing file changes between patches, (3) finding DLL/driver versions for specific builds, (4) debugging Windows update regressions, (5) user asks about Windows 11 24H2 files, KB updates, or build versions.
Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets. Use this skill when the user needs to evaluate CS team performance, identify top complaint drivers, optimize staffing, or build CS dashboards — even if they say 'is our CS team doing well', 'what are customers complaining about', 'how many agents do we need', or 'build a CS dashboard'.
Build an Energy Management Operating System Pack (energy drivers/drains map, calendar energy audit, zone-of-genius expansion plan, energy-aligned weekly schedule, recovery routines, and 2-week experiments). Use for sustainable leadership performance and burnout prevention. Category: Leadership.
Decompose Return on Equity into component ratios to identify performance drivers. Use for financial analysis, performance benchmarking, and identifying improvement opportunities.
Expert embedded Rust development for ESP32 microcontrollers using no-std, Embassy async framework, and the ESP-RS ecosystem (esp-hal, esp-rtos, esp-radio). Use when building, debugging, flashing, or adding features to ESP32 projects. Covers sensor integration (ADC, GPIO, I2C, SPI), power management (deep sleep, RTC memory), WiFi networking, MQTT clients, display drivers, async task patterns, memory allocation, error handling, and dependency management. Ideal for LilyGO boards, Espressif chips (ESP32, ESP32-S3, ESP32-C3), and any no-std Xtensa/RISC-V embedded development.
Explain MotherDuck pricing and ROI tradeoffs. Use when an economic_buyer, technical_owner, or analytics_lead is asking about spend, budget guardrails, workload cost drivers, plan fit, or whether MotherDuck is worth adopting.
Query and analyze a Dynatrace tenant's ACTUAL billing and usage data with DQL against dt.system.events — DPS consumption breakdown, cost-normalized spend ranking, included volume deduction, chargeback/showback, cost drivers, spending trends, cost investigation, metrics ingest optimization, query cost attribution, workflow total cost, and entity-level cost drill-down (RUM, hosts, synthetic, K8s). Also directs licensing/entitlement questions to the right resource (not available via DQL). USE ONLY to query/analyze the tenant's actual consumption. Do NOT use for conceptual 'explain' questions about how DPS billing/pricing works or what units/weights/the rate card mean — those belong to Dynatrace documentation. Also do NOT use for making a DQL query itself faster or cheaper to run (query optimization, reducing scanned data/consumption per run, filter-early best practices) — that belongs to dt-dql-essentials. This skill only MEASURES recorded consumption; it does not tune queries.
I2C and SPI bus driver skill for Linux client drivers. Use when writing i2c_driver or spi_driver, register access over bus, DMA SPI transfers, or ACPI/DT client binding. Activates on queries about i2c_client, spi_driver, regmap I2C, SPI transfer, or Linux I2C SPI subsystem.
Use when upgrading Neo4j drivers to new major versions
This skill should be used when the user asks to "quote a motion project", "estimate this animation job", "how much should I charge for this video", "what's my day rate", "build a quote", "price a 30-second explainer", or "is this estimate fair". It explains motion-design pricing models, the day-rate math, the cost drivers, and outputs a line-itemed quote with a worked example.
Build employee turnover prediction models to identify flight risk and retention drivers. Use this skill when the user needs to predict which employees are likely to leave, identify retention risk factors, or prioritize HR interventions — even if they say 'attrition prediction', 'who is going to quit', or 'employee retention model'.