Darwin-skill is a meta-skill (SKILL.md) and supporting tooling for autonomously optimizing agent skills (SKILL.md files). It implements a ratchet-based hill-climbing loop that evaluates skills across 9 dimensions (structure, effectiveness, meta-skill), spawns independent LLM judges for paired comparison, and only retains improvements validated by human-in-the-loop checkpoints. The repo includes a Node.js screenshot script for generating result cards, HTML templates, documentation, and references integrating Microsoft Research's SkillLens and SkillOpt papers. Despite being primarily a markdown document, it exhibits high craftsmanship: rigorous empirical grounding, explicit anti-pattern blacklist, versioned design philosophy, and detailed operational procedures. The actual executable code is minimal (one utility script), but the skill definition itself is a sophisticated artifact that demonstrates deep understanding of LLM evaluation pitfalls and optimization strategies.
This repository provides a Claude Skill for detecting and removing 'AI slop' from Japanese prose. It consists of a set of guidelines (SKILL.md) and reference files that enumerate problematic phrases, structural patterns, and examples of AI-generated text versus human-revised versions. The skill focuses on restoring human agency, stance, specificity, rhythm, and reduction in LLM-generated Japanese text. It is designed to be used during drafting, editing, or review stages to improve the authenticity of AI-assisted writing.
This repository is a Claude Code plugin and design system library for generating zero-dependency HTML presentations. It provides a structured workflow (SKILL.md) for an AI agent to create single-file slide decks with inline CSS/JS, featuring 34+ curated design templates (bold-template-pack) with detailed color palettes, typography scales, component definitions, and CJK internationalization guidance. The core runtime component is a reusable `<deck-stage>` web component that handles slide navigation, keyboard controls, auto-scaling, print support, and speaker notes. Supporting scripts enable Vercel deployment, PDF export via Playwright, and PowerPoint-to-JSON extraction. The repository is primarily a design specification library consumed by an AI coding agent, not a standalone application. It exhibits a hybrid nature: the templates are extensive design documentation (not executable code), while the plugin infrastructure and web component are functional code. The design philosophy emphasizes anti-generic aesthetics, fixed 16:9 stage scaling, and progressive disclosure of supporting files. Notable duplication exists between root and plugin paths, and all templates are marked alpha.