mflux-dev-env
Set up and work in the mflux dev environment (arm64 expectation, uv, Makefile targets, lint/format/test).
浏览 filipstrand 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。
已收录技能
8收录技能的仓库 Stars 合计
14,432仓库 Forks
936平均每个技能的仓库 Stars
1,804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。
Set up and work in the mflux dev environment (arm64 expectation, uv, Makefile targets, lint/format/test).
Port ML models into mflux/MLX with correctness-first validation, then refactor toward mflux style.
Navigate MFLUX CLI capabilities, locate commands by area, and summarize supported features.
Make a clean PR in mflux (inspect diff, quick verification, commit, push, open PR) using repo conventions.
Manually validate mflux CLIs by exercising the changed paths and reviewing output images/artifacts.
Prepare a release in mflux (version bump, changelog, uv lock) without tagging/publishing.
Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.
Debug MLX ports by comparing against a PyTorch/diffusers reference via exported tensors/images (export-then-compare).
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。