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Mindrally AI Skills

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

Author statistics

Indexed skills

143

Repository stars across indexed skills

3,588

Repository forks

286

Average repository stars per indexed skill

25

Repository stars may repeat across skills from the same repository.

143 skills

Browse skills

GitHub

turborepo

Mindrally

Best practices for Turborepo monorepo build system configuration and optimization

GitHub

ci-cd-best-practices

Mindrally

CI/CD best practices for building automated pipelines, deployment strategies, testing, and DevOps workflows across platforms

GitHub

github-workflow

Mindrally

GitHub best practices for pull requests, code reviews, issues, Actions workflows, and repository management

GitHub

esbuild-bundler

Mindrally

Best practices and guidelines for esbuild, the ultra-fast JavaScript and TypeScript bundler and minifier

GitHub

nx

Mindrally

Best practices for Nx monorepo development, project configuration, and code generation

GitHub

technical-writing

Mindrally

Expert technical writing guidelines for creating clear, in-depth developer tutorials and documentation with practical, implementable knowledge

GitHub

git-workflow

Mindrally

Git conventions and workflow guidelines using Conventional Commits, branching strategies, and best practices for version control

GitHub

pnpm

Mindrally

Best practices for pnpm package manager, workspace management, and monorepo configuration

GitHub

autogen-development

Mindrally

Expert guidance for Microsoft AutoGen multi-agent framework development including agent creation, conversations, tool integration, and orchestration patterns.

GitHub

llamaindex-development

Mindrally

Expert guidance for LlamaIndex development including RAG applications, vector stores, document processing, query engines, and building production AI applications.

GitHub

selenium-automation

Mindrally

Expert guidance for browser automation and web testing using Selenium WebDriver with best practices for element location, waits, and test organization.

GitHub

scrapy-web-scraping

Mindrally

Expert guidance for building web scrapers and crawlers using the Scrapy Python framework with best practices for spider development, data extraction, and pipeline management.

GitHub

localization-l10n

Mindrally

Implement localization (l10n) best practices to adapt applications for specific regions, languages, and cultural preferences.

GitHub

puppeteer-automation

Mindrally

Expert guidance for browser automation using Puppeteer with best practices for web scraping, testing, screenshot capture, and JavaScript execution in headless Chrome.

GitHub

ruby

Mindrally

Ruby development guidelines covering idiomatic code style, Ruby 3.x features, testing with RSpec, and best practices for building maintainable Ruby applications.

GitHub

rust

Mindrally

Expert in Rust development with focus on safety, performance, and async programming

GitHub

logging-best-practices

Mindrally

Logging best practices for applications and services including structured logging, log levels, and log management strategies

GitHub

go

Mindrally

Expert in Go/Golang development with focus on APIs, microservices, and clean architecture

GitHub

grpc-development

Mindrally

Best practices and guidelines for building high-performance services with gRPC and Protocol Buffers

GitHub

microservices

Mindrally

Guidelines for building production-grade microservices with FastAPI/Python and Go, covering serverless patterns, clean architecture, observability, and resilience.

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.