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Found 579 Skills
Implement and configure Syncfusion Angular Scheduler (Schedule) component for calendar and event management. Use this when building schedulers, calendar systems, event management applications, appointment booking interfaces, or resource scheduling solutions. This skill covers timeline views, day/week/month views, recurring events, time slot management, and working hours configuration.
WordPress performance code review and optimization analysis. Use when reviewing WordPress PHP code for performance issues, auditing themes/plugins for scalability, optimizing WP_Query, analyzing caching strategies, checking code before launch, or detecting anti-patterns, or when user mentions "performance review", "optimization audit", "slow WordPress", "slow queries", "high-traffic", "scale WordPress", "code review", "timeout", "500 error", "out of memory", or "site won't load". Detects anti-patterns in database queries, hooks, object caching, AJAX, and template loading.
Connect sales tools with webhooks, Zapier/Make, native integrations, and custom API pipelines — CRM sync, event triggers, data mapping, and error handling. Use when connecting Mailshake/Apollo/Salesloft to CRM, setting up webhook pipelines, building Zapier/Make automations for sales workflows, syncing data between tools, or troubleshooting integration issues. Do NOT use for Qwilr-specific automations (use /sales-qwilr-automation), general CRM platform config (use /sales-apollo or /sales-salesloft), or marketing automation flows (use /email-sequence).
Expert guidance for writing C (C99/C11) and C++ (C++17) code for embedded systems and microcontrollers. Use this skill whenever the user is working with: STM32, ESP32, Arduino, PIC, AVR, nRF52, or any other MCU; FreeRTOS, Zephyr, ThreadX, or any RTOS; bare-metal firmware; hardware registers, DMA, interrupts, or memory-mapped I/O; memory pools, allocators, or fixed-size buffers; MISRA C or MISRA C++ compliance; smart pointers or RAII in embedded contexts; stack vs heap decisions; placement new; volatile correctness; alignment and struct packing; C99/C11 patterns; C and C++ interoperability; debugging firmware crashes, HardFaults, stack overflows, or heap corruption; firmware architecture decisions (superloop vs RTOS vs event-driven); low-power modes (WFI/WFE/sleep); CubeMX project setup; HAL vs LL driver selection; CI/CD for firmware; embedded code review; MPU configuration; watchdog strategies; safety-critical design (IEC 61508, SIL); peripheral protocol selection (UART/I2C/SPI/CAN); linker script memory placement; or C/C++ callback patterns. Also trigger on implicit cues like "my MCU keeps crashing", "writing firmware", "ISR safe", "embedded allocator", "no dynamic memory", "power consumption", "CubeMX regenerated my code", "which RTOS pattern should I use", "MPU fault", "watchdog keeps resetting", "which protocol should I use for my sensor", "ESP32 deep sleep", "PSRAM vs DRAM", "ESP32 heap keeps shrinking", "ESP.getFreeHeap()", "task stack overflow on ESP32", or "WiFi reconnect after deep sleep is slow".
Design partition schemes, select partition keys, create GSI, and write SQL for PolarDB-X 2.0 Enterprise Edition AUTO mode databases, handling PolarDB-X vs MySQL differences (partitioned tables, GSI, CCI, Sequence, table groups, TTL, pagination, etc.). Use when designing partition schemes, selecting partition keys, converting single tables to partitioned tables, creating GSI/CCI indexes, writing or migrating SQL for PolarDB-X, or diagnosing slow queries on PolarDB-X. Triggers: "PolarDB-X SQL", "PolarDB-X create table", "partitioned table", "partition design", "partition scheme", "partition key", "GSI", "CCI", "Sequence", "MySQL migrate to PolarDB-X", "PolarDB-X compatibility", "single table to partitioned table", "convert to partitioned table", "large table", "distributed table", "AUTO mode", "pagination query", "Keyset pagination", "Range partition", "auto add partition", "PolarDB-X slow query", "full-shard scan"
Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
Apply Hierarchical Linear Modeling (HLM) to analyze nested data structures with random intercepts and slopes, accounting for intra-class correlation and cross-level interactions. Use this skill when the user has students nested in schools, employees in firms, or repeated measures in individuals, needs to partition variance across levels, or when they ask 'how do I handle nested data', 'what is ICC', or 'do group-level factors moderate individual-level relationships'.
Write, validate, and optimise PromQL queries for Prometheus and Grafana Cloud Metrics. Use when the user asks to query metrics, write a PromQL expression, calculate rates, aggregate across labels, build histogram quantiles, create recording rules, debug query performance, or understand metric cardinality. Triggers on phrases like "PromQL", "Prometheus query", "write a metric query", "calculate rate", "histogram_quantile", "recording rule", "metric cardinality", "sum by", "rate vs irate", "absent()", or "query is slow".
When the user wants to optimize picker routes, minimize travel distance in warehouses, or improve picking efficiency. Also use when the user mentions "pick path optimization," "warehouse routing," "travel distance minimization," "TSP in warehouses," "S-shape routing," or "optimal pick sequence." For order batching, see order-batching-optimization. For warehouse slotting, see warehouse-slotting-optimization.
MUST be used whenever optimizing a Dune app for speed, reducing render counts, improving CDF query efficiency, or reducing bundle size. Do NOT skip measurement steps — always profile before changing code. Triggers: performance, slow, laggy, optimize, optimization, re-render, bundle size, load time, Lighthouse, profiler, virtualization, lazy load, code split, CDF query, large list, memory leak.
Tableau platform help — Tableau Desktop, Tableau Cloud, Tableau Server, Tableau Prep, Tableau Pulse, Embedding API, REST API (v3.28, PAT/JWT auth, 300+ endpoints), MCP server, and Tableau+. Use when dashboards are slow with large datasets, LOD expressions or calculated fields aren't working, licensing costs are confusing or spiraling, Tableau won't connect to Salesforce or your data warehouse, embedded analytics aren't rendering, Tableau Prep flows keep failing, or you need help choosing Creator vs Explorer vs Viewer licenses. Do NOT use for general CRM config (use /sales-salesforce) or sales forecasting methodology (use /sales-forecast).