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cliftonc AI Skills

GitHub ↗

浏览 cliftonc 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。

作者统计

已收录技能

21

收录技能的仓库 Stars 合计

135

仓库 Forks

1

平均每个技能的仓库 Stars

6

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。

21 个技能

全部技能

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,...

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。