Decompress Binary

ClickHouse/ClickHouse/.claude/skills/decompress-binary

Çoklu dosya

codingResmi

Resmi Sağlayıcı Skill'iView repo

Extract the inner ELF from a ClickHouse self-extracting `clickhouse` binary, including when its architecture differs from the host (e.g. to load an aarch64 CI core dump on an x86 workstation). Use when gdb/lldb needs real symbols from a downloaded CI/release binary, or when self-extraction by running the binary is not possible because of an architecture mismatch.

Dosyalar2 dosya

SKILL.md98 satır

Loading editor…

Kurulum

Önerilen

Tek komut — ajanınız otomatik olarak devreye alır.

AI aracını seç

Kurulum komutunu görmek için yukarıdan bir AI aracı seçin.

veya

Manuel Kurulum

Daha fazla adım

Arşivi indirin ve dosyaları projenize manuel olarak ekleyin.

Skill detayları

Versiyonv1.0.0

YazarClickHouse

Kategoricoding

Skill IDClickHouse/ClickHouse/.claude/skills/decompress-binary

Dosyalar2 dosya

İlgili skill'ler

Alloc ProfileAnalyze a jemalloc (or other) allocation profile in collapsed stack format. Use when the user wants to analyze memory allocations, find top allocators, or understand memory usage patterns from a .collapsed profile file.BisectBisect a ClickHouse regression using pre-built master binaries from CI. Use when the user wants to find the commit that introduced a bug.Clickhouse Pr DescriptionGenerate PR descriptions for ClickHouse/ClickHouse that match maintainer expectations. Use when creating or updating PR descriptions.Close Flaky IssuesAudit open "flaky test" GitHub issues and close those whose tests are no longer failing on master. Cross-references CI history from play.clickhouse.com with git log to attribute fixes.Continue PrContinue work on an existing PR - resolve conflicts, fix CI failures, address reviewer feedback, and push updates. Use when the user wants to pick up and advance a pull request.Cpu ProfileProfile a ClickHouse query using the sampling query profiler and system.trace_log. Use when the user wants to find CPU hotspots, analyze where time is spent in a query, or investigate performance bottlenecks.