Development skills

This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.

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Use when a local coding agent (Codex, Claude Code, Cursor, or similar) needs to operate Multica through the authenticated `multica` CLI: reading or updating issues, comments, metadata, labels, custom properties, subscribers, projects, agents, squads, runtimes, repos, skills, autopilots, attachments, or workspace state; searching issues; inspecting or cancelling agent runs; replying to a Multica issue from an external agent; creating or triaging issues; checking linked pull requests; or safely handling Multica mention/status side effects without relying on the Multica hosted agent runtime.

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Run a structured bug-focused code review for selected files, folders, or the whole workspace.

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跨平台系统自动化操作工具，支持 Windows、Linux、macOS。提供 CLI 命令行和 MCP 服务器两种使用方式，支持鼠标键盘控制、屏幕截图、窗口管理、系统信息查询等功能。

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按 TRACE 框架（Trust / Reliability / Adaptability / Convention / Effectiveness，5 维 15 子项）评测 Skill 包质量。当用户说『用 TRACE 评测』『评一下这个 skill』『skill 质量打分』『五维度评测』『帮我评估这个技能包』『TRACE evaluation』等需要给 Skill 打分出报告时使用本技能。

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渡口——终端AI agent与渡口Chrome插件的稿件互通。能力：(1)把md文章（含图片）渡到 X Articles / B站专栏 / 公众号排版器(editor.huasheng.ai)，自动打开编辑页并填充图文；(2)让插件抓取微信公众号文章（带登录态、防盗链图片可下载），落盘为本地md+图片；(3)导出插件文章库任意一篇为md+图片。 当用户提到「渡到X」「发到X Articles」「发B站专栏」「渡到公众号排版器/editor.huasheng.ai」「填入X/B站/排版器」「公众号文章转md」「抓微信文章」「渡口」时使用。 即使用户只说「把这篇发到X」「这篇也发B站」「灌进排版器」「抓一下这篇公众号」「这篇文章存下来」也应触发。 需要配合渡口Chrome插件（https://github.com/alchaincyf/dukou），未安装时按「引导安装」提示用户。

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Use when debugging the Linux kernel: kgdb and kdb, ftrace and kprobes, dynamic debug, kdump and crash analysis, or printk levels on a live or crashed target.

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Use when implementing pool/slab/arena allocators, tuning jemalloc/mimalloc/tcmalloc, writing a Rust GlobalAlloc, or benchmarking allocator performance and fragmentation.

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Use when debugging RelWithDebInfo or -O2 release builds, using -Og for debuggable optimization, split-DWARF, GDB scheduler-locking, reading inlined frames, or understanding "value optimized out".

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Use when a C or C++ build uses GCC and needs build-mode flags, warning triage, debug info, LTO, PGO, or a compilation error explained. Not for Clang-only diagnostics: use clang.

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Use when running GDB: breakpoints, watchpoints, segfault or hang debugging, reverse debugging, remote gdbserver, core dumps, pretty-printers, Python scripting, or multi-threaded debugging.

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Use when writing HIP kernels with hipcc, porting CUDA code through HIPIFY, profiling with rocprofv3, debugging with rocgdb, or optimizing for MI300X. Not for NVIDIA-side kernels: use cuda.

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Use when choosing a linker, fixing link order or undefined symbol errors, enabling LTO or ThinLTO, or cutting dead code with --gc-sections. Not for inspecting the linked binary: use elf-inspection.

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Use when choosing kernel spinlocks versus mutexes, using RCU, seqlocks, completions, or memory barriers, or debugging scheduling-while-atomic. Not for userspace atomics: use concurrency-debugging.

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Use when profiling CUDA with Nsight Systems or Nsight Compute, reading roofline and occupancy metrics, or annotating phases with NVTX. Not for correctness: use cuda-debugging.

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Use when debugging CUDA with cuda-gdb or Compute Sanitizer, reading GPU core dumps, using device printf, or triaging error codes 700, 701, 702, and 719. Not for performance: use cuda-profiling.

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Use when writing or debugging Linux drivers: platform, I2C/SPI, device-tree, char-device, IRQ, DMA, regmap, PM, sysfs, udev, NACK, -EREMOTEIO, or probe failures.

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Use when navigating kernel source, understanding boot flow, initcall levels, or major subsystems (VFS, scheduler, MM) in linux.git. Not for driver-model depth: use device-drivers.

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Use when inspecting, searching, verifying, or parsing DWARF debug info: DIEs, DW_TAG_/DW_AT_ entries, .debug_* sections, line tables, or llvm-dwarfdump/readelf output.

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Use when writing or debugging Makefiles, understanding pattern rules and automatic dependency generation, managing CFLAGS/LDFLAGS, or diagnosing incremental build, phony targets, or recursive make.

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Use when debugging with LLDB on macOS, FreeBSD, or Linux-clang, mapping GDB commands to LLDB, Xcode or VS Code integration, LLDB Python scripting, or debugging Swift and Objective-C.

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Use when using kmalloc, vmalloc, or the page allocator, sizing kmalloc allocations, working with SLUB or the buddy allocator, or debugging memory zones and kernel OOM.

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Use when tracing kernel functions with ftrace or trace-cmd, profiling with perf, kprobes, or dyndbg, or analyzing a vmcore with crash. Not for QEMU GDB stubs: use qemu-for-kernel-development.

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Use when adding code generation with LLVM ORC or LLJIT, Cranelift, or dynasm, lazy compilation or inline caches, or fixing W^X faults. Not for AST-to-IR: use compiler-frontend.

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