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facet-rs AI Skills

GitHub ↗

浏览 facet-rs 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

5

收录技能的仓库 Stars 合计

11,950

仓库 Forks

520

平均每个技能的仓库 Stars

2,390

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

5 个技能

全部技能

GitHub

reproduce-reduce-regress

facet-rs

Systematic workflow for debugging by reproducing bugs with real data, reducing test cases to minimal examples, and adding regression tests

GitHub

profiling

facet-rs

Profile code performance using callgrind and valgrind with nextest integration for analyzing instruction counts, cache behavior, and identifying bottlenecks

GitHub

debug-with-valgrind

facet-rs

Debug crashes, segfaults, and memory errors using valgrind integration with nextest through pre-configured profiles

GitHub

use-facet-crates

facet-rs

Guidelines for using facet crates (facet-json, facet-toml, facet-args) instead of serde-based alternatives for consistent dogfooding

GitHub

jit-overview

facet-rs

Orientation to facet-format JIT deserialization (tiering, fallbacks, key types/entry points) and where to look when changing or debugging JIT code

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。