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leaderiop AI Skills

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

Author statistics

Indexed skills

18

Repository stars across indexed skills

126

Repository forks

0

Average repository stars per indexed skill

7

Repository stars may repeat across skills from the same repository.

18 skills

Browse skills

GitHub

documentation-docusaurus

leaderiop

Your approach to handling documentation docusaurus. Use this skill when working on files where documentation docusaurus comes into play.

GitHub

advanced-typescript-type-level

leaderiop

Master TypeScript type-level programming with conditional types, mapped types, template literals, and infer patterns. Use when writing advanced types, creating utility types, or solving complex type challenges.

GitHub

packages-ports

leaderiop

Your approach to handling packages ports. Use this skill when working on files where packages ports comes into play.

GitHub

ci-github-actions

leaderiop

Your approach to handling ci github actions. Use this skill when working on files where ci github actions comes into play.

GitHub

advanced-testability-ai-ergonomic

leaderiop

Design code for testability and AI/LLM ergonomics with explicit contracts and observable patterns. Use when optimizing code for AI tools, improving testability, or making codebases LLM-friendly.

GitHub

advanced-react-clean-integration

leaderiop

Integrate React with clean architecture without framework leakage using hooks as adapters and presenters. Use when connecting React to domain logic, designing hook-based DI, or isolating UI from business rules.

GitHub

packages-devtools

leaderiop

Your approach to handling packages devtools. Use this skill when working on files where packages devtools comes into play.

GitHub

advanced-effect-di-environment

leaderiop

Model dependencies using Effect-style Context, Layer, and Service patterns with compile-time safety. Use when designing DI systems, modeling environments, or building Effect-TS applications.

GitHub

packages-runtime

leaderiop

Your approach to handling packages runtime. Use this skill when working on files where packages runtime comes into play.

GitHub

testing-type-testing

leaderiop

Your approach to handling testing type testing. Use this skill when working on files where testing type testing comes into play.

GitHub

advanced-modular-library-design

leaderiop

Design modular libraries with clear package boundaries, feature-first organization, and clean API surfaces. Use when structuring monorepos, defining module boundaries, or designing library APIs.

GitHub

packages-react

leaderiop

Your approach to handling packages react. Use this skill when working on files where packages react comes into play.

GitHub

advanced-clean-hexagonal-architecture

leaderiop

Apply Clean Architecture and Hexagonal (Ports & Adapters) patterns for domain isolation and testability. Use when designing system boundaries, creating ports/adapters, or structuring domain-driven applications.

GitHub

packages-testing

leaderiop

Your approach to handling packages testing. Use this skill when working on files where packages testing comes into play.

GitHub

testing-vitest

leaderiop

Your approach to handling testing vitest. Use this skill when working on files where testing vitest comes into play.

GitHub

packages-graph

leaderiop

Your approach to handling packages graph. Use this skill when working on files where packages graph comes into play.

GitHub

global-api-design

leaderiop

Your approach to handling global API design. Use this skill when working on files where global API design comes into play.

GitHub

advanced-deterministic-runtime-container

leaderiop

Build deterministic IoC containers with proper lifecycle management, scoping, and disposal patterns. Use when implementing DI containers, managing service lifetimes, or designing runtime systems.

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.