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leonj1 AI Skills

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Browse published AI skills maintained by leonj1. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

10

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

10 skills

Browse skills

GitHub

exa-webfetch

leonj1

Uses Exa API for intelligent web searches instead of default WebFetch. Provides up-to-date information with semantic search capabilities.

GitHub

exa-websearch

leonj1

Uses Exa API for intelligent web searches. Provides up-to-date information with semantic search capabilities.

GitHub

code-searcher

leonj1

Delegates codebase searches to a lightweight agent. Use when searching for existing implementations, classes, or functions without loading search results into context.

GitHub

test-pattern-detector

leonj1

Delegates test pattern detection to a lightweight agent. Use when you need to understand existing test conventions without loading test files into context.

GitHub

violation-scanner

leonj1

Delegates coding standards violation scanning to a lightweight agent. Use when checking files for violations without loading full source files into context.

GitHub

strict-architecture

leonj1

Enforces universal strict governance rules (500 lines, 5 funcs, 4 args) and interface-first I/O for Python, Golang, and .NET.

GitHub

tech-stack-analyzer

leonj1

Delegates tech stack detection to a lightweight agent. Use when you need to know the project's language, frameworks, or dependencies without loading manifest files into context.

GitHub

flyway-backend-docker

leonj1

Setup backend project with Flyway SQL migrations, tini init system, and MySQL integration testing. Modifies existing Dockerfile from backend-docker skill.

GitHub

docker-backend

leonj1

Dockerizes backend projects with auto-detection, latest base images via web search, Dockerfile generation, and Makefile with port override support.

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.