GitHub
brain-dump-ingestion
Process unstructured brain dumps, transcripts, and stream-of-consciousness notes into structured knowledge base content. Use when converting raw ideas, meeting notes, or recorded thoughts into organized documen...
wlfmnstr AI Skills
GitHub ↗Explorez les skills IA publiés de wlfmnstr et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
9Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
mdx-content
Content schema design and MDX configuration patterns for knowledge bases. Use when designing content structure, configuring MDX processing, or setting up frontmatter schemas.
GitHub
github-workflow
GitHub Actions optimization patterns and deployment workflows for static sites. Use when creating CI/CD pipelines, optimizing builds, or troubleshooting GitHub Actions.
GitHub
static-site-generation
Framework evaluation criteria and deployment patterns for static site generators with GitHub Pages. Use when choosing SSG frameworks, configuring builds, or setting up GitHub Pages deployment.
GitHub
github-actions
GitHub Actions workflow patterns for deployment. Use when creating CI/CD workflows.
GitHub
astro-setup
Astro project initialization and configuration patterns. Use when setting up new Astro projects or configuring Astro features.
GitHub
component-patterns
React component architecture and composition patterns for type-safe development. Use when designing component APIs, implementing composition patterns, or structuring component libraries.
GitHub
typescript-patterns
TypeScript utility types and type-safe API design patterns. Use when designing type systems, creating utility types, or implementing type-safe patterns.
GitHub
tina-cms
Tina CMS configuration with GitHub backend. Use when setting up or configuring Tina CMS.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.