git-workflow
[ Featured ]git-workflow is a skill that enables efficient Git version control and collaborative development through branching strategies, commit conventions, and conflict resolution.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
git-workflow is a skill that enables efficient Git version control and collaborative development through branching strategies, commit conventions, and conflict resolution.
perl-patterns is a skill that provides modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable applications.
flutter-dart-code-review is a library-agnostic Flutter/Dart code review checklist, covering widget best practices, state management patterns, and performance optimization.
android-clean-architecture is a skill that implements Clean Architecture patterns for Android and Kotlin Multiplatform projects, covering module structure, dependency rules, and data layer design.
create-skill is a customizable AI agent skill for automating specific workflows, utilizing markdown and scripts to enhance development efficiency.
frontend-slides is a presentation automation skill that utilizes AI agents to streamline slide creation and editing.
writing-skills is a technique for applying test-driven development to process documentation, helping developers create effective skills for AI agents.
Video-editing is a skill that utilizes AI-assisted workflows to edit, cut, and structure real footage, enhancing video content creation.
subagent-driven-development is a technique that leverages fresh subagents for independent tasks, ensuring spec compliance and code quality through a two-stage review process.
quality-nonconformance is a specialized AI agent skill for managing non-conformances in regulated manufacturing environments.
node-add-oauth is a skill that automates OAuth2 credential setup for n8n nodes, enabling seamless integration with third-party services.
Benchmark is a performance measurement tool that helps developers detect regressions, measure performance baselines, and compare stack alternatives for optimal code performance.