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Found 3,207 Skills
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".
Mutation-driven test vector generation. Finds implementations of a cryptographic algorithm or protocol, runs mutation testing to identify escaped mutants, then generates new test vectors that deliberately exercise the uncovered code paths. Compares before/after mutation kill rates to prove vector effectiveness. Use when generating cryptographic test vectors, measuring Wycheproof coverage gaps, finding escaped mutants via mutation testing, creating cross-implementation test suites, or improving test vector coverage for crypto primitives.
Generates Mermaid diagrams from Trailmark code graphs. Produces call graphs, class hierarchies, module dependency maps, containment diagrams, complexity heatmaps, and attack surface data flow visualizations. Use when visualizing code architecture, drawing call graphs, generating class diagrams, creating dependency maps, producing complexity heatmaps, or visualizing data flow and attack surface paths as Mermaid diagrams.
Guide for creating effective skills for Apollo Solutions and Field teams. Use this skill when: (1) users want to create a new skill for this repository, (2) users want to update an existing skill, (3) users ask about skill structure or best practices, (4) users need help writing SKILL.md files.
Yike Storyboard Creation Skill - Complete AI video creation workflow from novel/script to storyboard via conversational interface. Use this skill when users want to create storyboards, produce videos, convert novels/scripts to videos, or generate shot scripts. Trigger scenarios: "storyboard", "novel to video", "shot script", "script parsing", "video creation", "convert novel to video", "generate storyboard".
Alibaba Cloud Security Center (SAS) CWPP host security alert handling skill. Used for querying, analyzing, and handling security alerts from Cloud Security Center. Triggers: "security alert", "alert handling", "CWPP alert", "Cloud Security Center alert", "SAS alert", "Aegis alert", "view alerts", "handle alerts"
Alibaba Cloud Media Processing Service (MPS) one-stop video processing skill. Use when users need video processing, transcoding, snapshot generation, content moderation, or video upload. For video distribution scenarios, complete video upload, snapshot, multi-resolution transcoding, and content moderation in a single workflow for efficient standardized video asset production.
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
Implements Syncfusion WinUI Linear Gauge (SfLinearGauge) control for data visualization in desktop applications. Use this when building progress indicators, temperature displays, or data measurement gauges in WinUI. This skill covers axis configuration, pointer types (bar and shape), range customization, and animation.
Implement Syncfusion WinUI Barcode (SfBarcode) control to generate and display machine-readable barcodes in desktop applications. Use this when working with barcodes, QR codes, or product labeling systems. This skill covers symbology types (DataMatrix, Code39, Code128, Codabar, UPC), barcode customization, text alignment, rotation, and visual encoding for WinUI applications.
Implements Syncfusion WinUI RangeSlider (SfRangeSlider) control for range selection in desktop applications. Use this when working with range selectors, dual-thumb sliders, or numeric range selection interfaces. This skill covers configuration, labels, ticks, dividers, track customization, thumb styling, tooltips, and value handling for interactive range selection in WinUI applications.
Implement Syncfusion WinUI Funnel Chart (SfFunnelChart) for visualizing data across stages in a process or workflow. Use this when working with funnel charts, conversion funnels, sales pipelines, or process stage analysis in WinUI applications. This skill covers stage-based metrics, hierarchical data representation with decreasing values, and visual representation of progressive reduction in data values across sequential stages.