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Found 1,167 Skills
GDB debugger skill for C/C++ programs. Use when starting a GDB session, setting breakpoints, stepping through code, inspecting variables, debugging crashes, using reverse debugging (record/replay), remote debugging with gdbserver, or loading core dumps. Activates on queries about GDB commands, segfaults, hangs, watchpoints, conditional breakpoints, pretty-printers, Python GDB scripting, or multi-threaded debugging.
Concurrency debugging skill for diagnosing data races and deadlocks. Use when reading TSan race reports, debugging deadlocks with GDB thread inspection, analyzing lock-order graphs with Helgrind, identifying std::atomic misuse patterns, or reasoning about happens-before in C++ and Rust. Activates on queries about data races, TSan reports, deadlocks, Helgrind, lock ordering, thread sanitizer output, or atomic ordering issues.
Generate PyTorch-style interface documentation (README.md) for AscendC operators. Trigger scenarios: Use this when interface documentation needs to be generated after compilation and debugging are completed, or when the user mentions "generate operator documentation", "create README", "document operator", "help me write documentation" (in operator context), "operator documentation".
Debugging and Root Cause Localization for AscendC Operator Precision Issues. Used when operator precision tests fail (such as allclose failure, result deviation, all-zero/NaN output, etc.). Process: Error Distribution Analysis → Code Error-Prone Point Review → Experimental Isolation → printf/DumpTensor Instrumentation → Fix Verification. Keywords: precision debugging, precision issue, result inconsistency, error localization, allclose failure, output deviation, NaN, all-zero, precision debug.
昇腾（Ascend）推理生态开源代码仓库智能问答专家旨在为 vLLM、vLLM-Ascend、MindIE-LLM、MindIE-SD、MindIE-Motor、MindIE-Turbo 以及 msModelSlim (MindStudio-ModelSlim) 等仓库提供专家级且易于理解的解释。在处理昇腾（Ascend）推理生态相关项目的用户询问时，务必触发此技能（Skill），可解答使用方法、部署流程、支持模型、支持特性、系统架构、配置管理、调试、测试、故障排查、性能优化、定制开发、源码解析以及其他技术问题。支持中英文双语回复，并可借助 deepwiki MCP 工具检索仓库知识库，生成具备上下文感知且基于证据的回答。Ascend inference ecosystem open-source code repository intelligent question-and-answer (Q&A) expert. Provide expert-level yet comprehensible explanations for repositories such as vLLM, vLLM-Ascend, MindIE-LLM, MindIE-SD, MindIE-Motor, MindIE-Turbo, and msModelSlim (MindStudio-ModelSlim). Use this skill when addressing user inquiries related to these Ascend inference ecosystem projects, including topics such as usage, deployment process, supported models, supported features, system architecture, configuration management, debugging, testing, troubleshooting, performance optimization, custom development, source code analysis, and any other technical issues about these projects. Support responses in both Chinese and English. Use deepwiki MCP tools to query repository knowledge bases and generate context-aware, evidence-based responses.
Use when implementing location services, maps, geofencing, or debugging location/MapKit issues. Covers Core Location, CLMonitor, MapKit, annotations, directions.
Rstest best practices for config, CLI workflow, test writing, mocking, snapshot testing, DOM testing, coverage, multi-project setup, CI integration, performance and debugging. Use when writing, reviewing, or troubleshooting Rstest test projects.
Get system information: CPU, memory, disk, network, processes. Useful for monitoring, debugging, and system analysis. No API key required.
Build browser-based VoIP calling apps using Telnyx WebRTC JavaScript SDK. Covers authentication, voice calls, events, debugging, call quality metrics, and AI Agent integration. Use for web-based real-time communication.
Embedded network debugging tool used for interface discovery, packet capture, pcap/pcapng analysis, connectivity testing, port scanning, and traffic statistics. It is automatically triggered when users mention network protocol debugging terms such as Wireshark, tshark, Npcap, packet capture, network joint debugging, port scanning, connectivity troubleshooting, pcap analysis, network interface, ping test, traceroute, traffic statistics, Modbus TCP, EtherNet/IP, etc. It also supports explicit invocation via /net. Even if users only say "capture a packet", "scan ports", "check network connectivity" or "analyze this pcap", this skill should be triggered as long as the context involves network communication debugging.
Use when running commands inside a Zeabur service container. Use for one-off database operations like queries, data cleanup, or migrations (e.g. mongosh, psql, mysql, redis-cli). Use when user says "exec into container", "run command in service", "query database", "delete from database", "run mongo command", "run SQL", "check files in container", "debug inside service", or "shell into service". Use for container-level debugging like checking env vars, files, processes, or connectivity. NOT for deploying databases (use zeabur-template-deploy instead).
Debug applications with motel, a local OpenTelemetry ingest and query server. Use when the user wants runtime-evidence debugging with traces or logs, wants temporary debug instrumentation that can be removed later, or needs a repo wired to send OTLP/HTTP telemetry to a local motel server. If the target repo uses Effect or @effect/*, also read references/effect.md.