Repository of the Day - addyosmani/agent-skills, and Daily Trends - June 13, 2026

Published: 6/13/2026

This daily roundup highlights repository momentum from GitGenius analytics for June 13, 2026, using UTC daily deltas in stars and subscribers.

The scan reviewed 1903 repositories, with 1787 repos contributing star deltas and 1787 repos contributing subscriber deltas.

Repo of the day

addyosmani/agent-skills led the day with +1565 stars to 58276 total stars and +3 subscribers to 359 total subscribers. The addyosmani/agent-skills repository provides a comprehensive suite of production-grade engineering skills designed specifically for AI coding agents. Its purpose is to encode the workflows, quality gates, and best practices that experienced software engineers use, ensuring that AI agents consistently apply these standards throughout every phase of software development. By packaging these skills into structured, actionable workflows, the repository aims to elevate the reliability, maintainability, and quality of code produced by AI agents.

The repository organizes the development lifecycle into six key phases: Define, Plan, Build, Verify, Review, and Ship. Each phase is mapped to a corresponding slash command (such as /spec, /plan, /build, /test, /review, /ship), which triggers the relevant skills automatically. These commands are supported across multiple agent platforms, including Claude Code, Cursor, Gemini CLI, Windsurf, OpenCode, GitHub Copilot, Kiro IDE & CLI, and Codex, making the skills highly portable and easy to integrate into diverse development environments.

Under the hood, agent-skills features 20 core skills, each encapsulated in its own directory with a SKILL.md file. These skills cover the full spectrum of engineering tasks: from refining vague ideas and writing detailed product requirement documents, to breaking down tasks, implementing code incrementally, conducting test-driven development, designing APIs and interfaces, performing browser testing and debugging, reviewing code for quality and security, optimizing performance, managing git workflows, automating CI/CD pipelines, handling deprecation and migration, documenting architectural decisions, and preparing for production launches. Each skill is structured as a step-by-step workflow with verification gates, anti-rationalization tables (countering common excuses for skipping steps), and clear evidence requirements, ensuring that agents follow rigorous processes rather than relying on intuition or shortcuts.

The repository also includes pre-configured agent personas, such as code reviewers, test engineers, and security auditors, each with specialized perspectives and review standards. Supplementary reference checklists are provided for testing patterns, security, performance, and accessibility, which skills can pull in as needed to minimize context usage and maximize relevance.

A key design philosophy of agent-skills is to enforce process over prose. Skills are not generic prompts or reference documentation; they are actionable workflows with explicit checkpoints and exit criteria. Progressive disclosure is used to keep token usage minimal, loading supporting references only when necessary. The skills are heavily influenced by best practices from Google’s engineering culture, embedding concepts like Hyrum’s Law, the test pyramid, trunk-based development, Shift Left, feature flags, and treating code as a liability.

The project structure is clean and modular, with directories for skills, agent personas, references, session hooks, platform-specific commands, and setup guides. Contributions are encouraged to be specific, verifiable, battle-tested, and minimal, focusing on actionable guidance rather than vague advice.

Overall, addyosmani/agent-skills is a robust toolkit for anyone looking to enhance the discipline and quality of AI-driven software development, ensuring that agents adhere to the same high standards as senior engineers. The repository is licensed under MIT, allowing free use and adaptation in projects, teams, and tools.

Fastest rising repos

• addyosmani/agent-skills - +1565 stars (58276 total), language: Shell. Production-grade engineering skills for AI coding agents.
  
• chopratejas/headroom - +1560 stars (26157 total), language: Python. Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
  
• apple/container - +1231 stars (36269 total), language: Swift. A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
  
• mvanhorn/last30days-skill - +939 stars (41223 total), language: Python. AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
  
• obra/superpowers - +932 stars (226888 total), language: Shell. An agentic skills framework & software development methodology that works.
  

Subscriber surge

• chopratejas/headroom - +9 subscribers (92 total), +1560 stars. Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
  
• AUTOMATIC1111/stable-diffusion-webui - +8 subscribers (1233 total), +22 stars. Stable Diffusion web UI
  
• affaan-m/ECC - +8 subscribers (1097 total), +624 stars. The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
  
• nestjs/nest - +8 subscribers (757 total), +16 stars. A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
  
• garrytan/gstack - +8 subscribers (668 total), +273 stars. Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
  

Hidden gems

• mannaandpoem/OpenManus - +2 stars to 496 total stars, 15 subscribers
  
• calfonso/rusternetes - +2 stars to 437 total stars, 2 subscribers. kubernetes, reimplemented in Rust
  
• VectifyAI/pageindex-mcp - +2 stars to 362 total stars, 1 subscribers. MCP server for PageIndex. PageIndex is a vectorless reasoning-based RAG system which uses multi-step reasoning and tree search to retrieve information like a human expert would.
  
• IBM/mcp - +1 stars to 384 total stars, 12 subscribers. A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
  
• vllm-project/compressed-tensors - +1 stars to 292 total stars, 11 subscribers. A safetensors extension to efficiently store sparse quantized tensors on disk
  

Language movers

• python - +14016 stars across 319 repos. Example repos: NVIDIA/cutile-python, microsoft/agent-lightning, volcengine/MineContext
• typescript - +7348 stars across 219 repos. Example repos: nrwl/nx, amantus-ai/vibetunnel, QwenLM/qwen-code
• shell - +4824 stars across 27 repos. Example repos: VoltAgent/awesome-claude-code-subagents, kyuz0/amd-strix-halo-image-video-toolboxes, frankbria/ralph-claude-code
• rust - +2765 stars across 73 repos. Example repos: BloopAI/vibe-kanban, farion1231/cc-switch, firecracker-microvm/firecracker
• javascript - +1659 stars across 52 repos. Example repos: react/react, thedotmack/claude-mem, Piebald-AI/claude-code-system-prompts

Category spotlight

• machine learning - +5948 stars across 189 repos. Example repos: amantus-ai/vibetunnel, onnx/onnx, danielmiessler/Personal_AI_Infrastructure
• automation - +5257 stars across 115 repos. Example repos: microsoft/agent-lightning, rest-assured/rest-assured, shiyu-coder/Kronos
• agent framework - +3084 stars across 12 repos. Example repos: NousResearch/hermes-agent, agentsmd/agents.md, TanStack/ai
• development - +2979 stars across 57 repos. Example repos: genmcp/gen-mcp, eigent-ai/eigent, ComposioHQ/awesome-claude-skills
• ai - +2942 stars across 63 repos. Example repos: frankbria/ralph-claude-code, anthropics/skills, multica-ai/multica

Maintainer watch

• addyosmani - +1565 stars across 1 repos. Example repos: addyosmani/agent-skills
• chopratejas - +1560 stars across 1 repos. Example repos: chopratejas/headroom
• microsoft - +1476 stars across 29 repos. Example repos: microsoft/terminal, microsoft/agent-lightning, microsoft/VibeVoice
• apple - +1252 stars across 7 repos. Example repos: apple/foundationdb, apple/ml-stable-diffusion, apple/pkl
• mvanhorn - +939 stars across 1 repos. Example repos: mvanhorn/last30days-skill