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Found 1,292 Skills
Use MuMuManager.exe to centrally manage and operate MuMu Emulator 12 instances, including instance configuration, creation/cloning/deletion/renaming, import/export, startup/shutdown/restart/window control, app installation/uninstallation/startup/shutdown, device information, system tools, ADB commands, driver management and window sorting, etc. It is suitable for writing scripts to batch automate the management of MuMu Emulator.
Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.
Implements OpenTelemetry (OTEL) logging with trace context correlation and structured logging. Use when setting up production logging with OTEL exporters, structlog/loguru integration, trace context propagation, and comprehensive test patterns. Covers Python implementations for FastAPI, Kafka consumers, and background jobs. Includes OTLP, Jaeger, and console exporters.
Expose local dev server to mobile Chrome via cloudflared tunnel. Use when: (1) user wants to preview results on mobile, (2) requests like "preview on mobile", "check on my phone", "test on mobile", (3) remote development (remote-control/SSH) where external access is needed, (4) sharing localhost with external devices. Korean triggers: "모바일에서 확인", "모바일 프리뷰", "폰으로 확인", "폰으로 테스트", "핸드폰에서 보고 싶다", "모바일에서 보고 싶어", "모바일로 테스트", "폰에서 열어봐".
QML and Qt Quick — declarative UI language for modern Qt applications. Use when building a QML-based UI, embedding QML in a Python/C++ app, exposing Python/C++ objects to QML, creating QML components, or choosing between QML and widgets. Trigger phrases: "QML", "Qt Quick", "declarative UI", "QQmlApplicationEngine", "expose to QML", "QML component", "QML signal", "pyqtProperty", "QML vs widgets", "QtQuick.Controls", "Item", "Rectangle"
Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.
CMake build system skill for C/C++ projects. Use when writing or refactoring CMakeLists.txt, configuring out-of-source builds, selecting generators (Ninja, Make, VS), managing targets and dependencies with target_link_libraries, integrating external packages via find_package or FetchContent, enabling sanitizers, setting up toolchain files for cross-compilation, or exporting CMake packages. Activates on queries about CMakeLists.txt, cmake configure errors, target properties, install rules, CPack, or CMake presets.
Bidirectional conversion between Markdown and Feishu (Lark) documents using md2fs and fs2md CLI tools. Use this skill whenever the user mentions Feishu, Lark, 飞书, feishu.cn URLs, md2fs, fs2md, md-lark-converter, pasting documents to Feishu, exporting from Feishu, converting to/from Feishu format, syncing content with Feishu, setting up Feishu cookies, or any workflow involving Markdown and Feishu documents — even if they don't explicitly say 'convert'. Also trigger when the user shares a feishu.cn or lark link.
Feishu Document Assistant. Read and write Feishu cloud documents and knowledge bases, supporting creation, export, precise editing, synchronization to knowledge bases, and group message notifications. Use this Skill when users mention Feishu documents, knowledge bases, wiki, or send feishu.cn links.
Expert knowledge for Azure Managed Lustre development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when mounting AML, integrating with Blob auto-import/export, AKS CSI, quotas, or performance tuning, and other Azure Managed Lustre related development tasks. Not for Azure HPC Cache (use azure-hpc-cache), Azure NetApp Files (use azure-netapp-files), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Network (use azure-virtual-network).
Build investment systems in the style of AQR Capital Management, the quantitative investment firm pioneering factor investing. Emphasizes academic rigor, transparent methodology, and systematic factor exposure. Use when building factor models, conducting asset pricing research, or designing systematic portfolios.
Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.