git-worktrees
Manage Git worktrees for parallel feature development. Automates environment setup, branch hierarchy enforcement, and workspace cleanup based on Langstar's issue-driven workflow.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
533 skills found
Manage Git worktrees for parallel feature development. Automates environment setup, branch hierarchy enforcement, and workspace cleanup based on Langstar's issue-driven workflow.
Self-healing Rust verification loop that automates test execution, clippy linting, and formatting checks.
Standards for organizing, structuring, and maintaining project documentation to ensure consistency across user guides, development docs, and AI-assisted workflows.
Generate Bilibili-compatible video chapter lists from SRT subtitle files with strict format validation.
Security-first vetting protocol for AI agent skills. Detects red flags like credential theft, obfuscated code, and unauthorized data exfiltration before installation.
Automate Python scripting and Gemini-powered image generation using uv. Ideal for creating art, editing images, and running ad-hoc scripts.
Build scalable, production-ready design systems using Tailwind CSS v4, featuring CSS-first configuration, design tokens, component variants, and responsive patterns.
A Pomodoro focus timer that tracks work sessions in a local SQLite database to provide productivity analytics and personalized performance insights over time.
Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.
A collection of design patterns for the Langroid multi-agent framework, covering agent configuration, tool handling, task orchestration, and external integrations.
Diagnose and resolve connection, sync, subscription, and type issues in Dojo.js applications. Use for troubleshooting Torii, entity queries, and state updates.
Streamline your codebase by automatically removing redundant or obvious comments while preserving essential architectural and logic-focused documentation.