siviter.xyz publishes skills that help AI agents with software engineering work, from code style and repository workflows to backend systems in Node.js, Python, Go and Rust, and frontend work in React and TypeScript. Their most distinctive skills cover context engineering for agent architectures, including memory, token usage and multi-agent coordination, and cover command-line tool design alongside Git commit conventions and project-level agent instructions.
Dot Agent
15 skills · 22 stars · MIT
Backend Engineer Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (Ne…
Cli Building Build command-line interfaces with async-first design, composable commands, and proper output for…
Code Review Code review practices emphasizing technical rigor, evidence-based claims, and verification.
Context Engineering Master context engineering for AI agent systems.
Create Agents Md Create AGENTS.md files for project-specific inline rules.
Create Skill Guide for creating effective skills following best practices.
Cursor Best Practices Best practices for working with Cursor.
Debugging Root cause analysis and debugging protocols.
Frontend Engineer Frontend development guidelines for React/TypeScript applications.
Media Processing Media processing utilities for images, audio, and video using FFmpeg and ImageMagick.
Psi Plan-spec-implement workflow for structured development.
Python Python development guidelines and best practices.
Semantic Git Manage Git commits using conventional commit format with atomic staging.
Software Engineer Core software engineering principles for code style, documentation, and development workflow.
Typescript TypeScript standards and best practices with modern tooling.