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SkillsMP ha recopilado 3 skills de jlevy/flowmark. Abre una skill para revisar su origen y sus detalles.
Mostrando 3 de 3 skills recopiladas.
Git-native issue tracking (beads), coding guidelines, knowledge injection, and spec-driven planning for AI agents. Drop-in replacement for bd/Beads with simpler architecture. Use for: tracking issues/beads with dependencies, creating bugs/features/tasks,…
Idioma del texto original: inglés
Set up, modernize, or update Python projects using the simple-modern-uv template: uv, ruff, BasedPyright, pytest, GitHub Actions CI, and tag-driven PyPI publishing. Use when starting a new Python project or package; when modernizing, upgrading, or migrating…
Idioma del texto original: inglés
Fast, consistent Markdown auto-formatter for typographic cleanup, normalization, and clean semantic line breaks. Use when creating, editing, or cleaning Markdown; formatting LLM-generated docs; adopting Flowmark in a repository; adding Markdown format scripts…
Idioma del texto original: inglés