llvm-tooling
Expertise in LLVM tooling development including Clang plugins, LLDB debugger extensions, Clangd/LSP, and LibTooling. Use this skill when building source code analysis tools, refactoring tools, debugger extensions, or IDE integrations.
Просматривайте и устанавливайте тысячи навыков AI Agent в каталоге Killer-Skills. Совместимо с Claude Code, Windsurf, Cursor и другими.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Expertise in LLVM tooling development including Clang plugins, LLDB debugger extensions, Clangd/LSP, and LibTooling. Use this skill when building source code analysis tools, refactoring tools, debugger extensions, or IDE integrations.
Create a GitHub release with auto-generated release notes from commits since the last tag. Uses conventional commits to categorize changes into Features, Bug Fixes, and maintenance sections.
ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents
Start here for all API mocking in tests. Covers auto-generation, fixtures, and when to use other skills. Required reading before creating, refactoring, or modifying any test involving API calls.
Add-gitmcp - это инструмент, который добавляет URL GitMCP в файл конфигурации MCP для улучшения безопасности Linux.
Human-in-the-loop execution for LLM agents
Verify that dotfiles are properly symlinked and synchronised across the system. Use when the user wants to check symlink status, verify dotfiles setup, diagnose sync issues, find broken links, or ensure configurations are correctly deployed. Triggers include check sync, verify symlinks, dotfiles status, check setup, or troubleshooting symlink issues.
Prepare and iterate changelists/pull requests using Google-style author practices. Use when writing clear CL descriptions, splitting large changes, bundling tests, handling reviewer comments, and keeping dependent CLs build-safe.
Swift libraries for supporting the Model-View-ViewModel pattern on macOS, iOS, Windows and Linux