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facet-rs AI Skills

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Browse published AI skills maintained by facet-rs. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

5

Repository stars across indexed skills

11,950

Repository forks

520

Average repository stars per indexed skill

2,390

Repository stars may repeat across skills from the same repository.

5 skills

Browse skills

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

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.