Search

PythonReactSEOPDF

cliftonc AI Skills

GitHub ↗

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

Author statistics

Indexed skills

21

Repository stars across indexed skills

135

Repository forks

1

Average repository stars per indexed skill

6

Repository stars may repeat across skills from the same repository.

21 skills

Browse skills

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,...

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.