Rechercher

PythonReactSEOPDF

cliftonc AI Skills

GitHub ↗

Explorez les skills IA publiés de cliftonc et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

21

Étoiles des dépôts des skills indexés

135

Forks du dépôt

1

Moyenne des étoiles par skill indexé

6

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

21 skills

Explorer

GitHub

using-unwind

cliftonc

Use when starting any reverse engineering task - establishes how to find and use Unwind skills for codebase analysis, service mapping, and documentation

GitHub

synthesizing-findings

cliftonc

Use after layer analysis is complete to validate architecture documentation and generate a strategic rebuild plan focused on re-use decisions

GitHub

analyzing-frontend-layer

cliftonc

Use when analyzing frontend/UI layer including components, state management, routing, and API integration (optional - skip if no frontend exists)

GitHub

start

cliftonc

Use when starting reverse engineering on an unfamiliar codebase to identify layers, patterns, and structure before detailed analysis

GitHub

dc-analysis-config

cliftonc

Create and configure AnalysisConfig objects for query, funnel, and flow analysis modes in Drizzle Cube dashboards.

GitHub

dc-cube-definition

cliftonc

Create and configure Drizzle Cube semantic layer cube definitions with proper security context, measures, dimensions, and joins.

GitHub

ts-quality

cliftonc

Enforce TypeScript quality standards immediately after writing or modifying .ts/.tsx files. Run type checking and linting on each changed file for instant feedback. Use after creating/editing TypeScript files,...

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.