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agent-skills

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23 production-grade engineering skills for AI coding agents by Addy Osmani (Google Chrome). Covers the full Define-to-Ship lifecycle with Doubt-Driven Development for adversarial self-verification, Anti-rationalization Tables to prevent shortcutting, and 3 specialist personas for parallel review. Pure Markdown, zero dependencies. MIT licensed.

Review

ARIS (Auto-Research-In-Sleep)

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Autonomous ML research framework using cross-model adversarial review — Claude Code executes experiments while GPT reviews and finds weaknesses. Covers the full research lifecycle from literature review to submission-ready manuscript. Requires dual LLM subscription. MIT licensed, Markdown-only, zero framework dependencies.

Review

awesome-design-systems

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Curated list of 163 design systems from enterprise, government, and open-source communities. Each entry annotates component library, design tokens, and Storybook availability. Best starting point for design system selection and comparison. Unlicense.

Review

html-anything

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Local-first agentic HTML editor from nexu-io that turns natural language into complete HTML pages via AI coding agents. Too early to adopt, worth watching.

Post

The Atomic Rules of AI Skill Composition: From Atoms to Compounds

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A single AI Agent is reliable. But your cognitive bandwidth caps at 5 parallel threads. Skill Graphs 2.0 introduces a three-layer architecture — atoms (deterministic), molecules (fixed sequence), compounds (strategic autonomy) — turning 5 compound-level tasks into 500 work units. This article breaks down the framework, practical principles, and known limitations.