ETMA Plugins for Claude Code
A collection of open-source plugins for Claude Code — Anthropic's official CLI for AI-assisted software engineering.
Plugins
Build professional websites that don't look AI-generated.
Uses the ANIF Framework (Assemble, Normalize, Illustrate, Fill) to build landing pages from real designer components, real Unsplash photography, and autoresearch-validated design patterns. Developed through 12 iterations of automated scoring.
Features:
- Real components — shadcn/ui, Magic UI, and Aceternity UI instead of hand-written Tailwind
- Real photography — Downloads Unsplash photos as atmospheric section backgrounds (free, no API key)
- 30+ free image sources — Illustrations, 3D assets, animations, textures, gradients, device mockups
- Anti-AI-tell patterns — No default indigo, no Inter-only fonts, no round numbers, no generic headlines
- Per-page illustration — Automatically determines what visuals each section needs and sources them
- Content quality rules — Specific numbers, benefit-driven headlines, realistic testimonials
- Works with brainstorming — Pairs well with the superpowers:brainstorming skill for requirements gathering
Quick start:
claude plugin marketplace add ErikTMA/claude-plugins
claude plugin install anf-website-builder@etma-plugins
Then ask Claude to build a website:
Build me a landing page for my SaaS product
Create a website for a coffee subscription service
Scrape example.com and rebuild it with modern design
Extract knowledge from any video — YouTube, Vimeo, Loom, or local files.
Give Claude Code a video URL and it "watches" it for you: extracts the transcript, detects scene changes to capture keyframes, and analyzes both text and visuals to produce structured knowledge you can recall later.
Features:
- Any video source — YouTube, Vimeo, Loom, or any site yt-dlp supports, plus local
.mp4/.mkv/.webm files
- 3-tier transcript fallback — YouTube captions API → yt-dlp auto-subtitles → local Whisper AI transcription
- Scene-change keyframe extraction — detects visual changes using PySceneDetect, extracts key frames, deduplicates with perceptual hashing
- Video type classification — samples frames across the video, classifies content type (terminal, slides, talking head, screen recording), adjusts detection sensitivity per type
- GPU-accelerated Whisper — auto-detects NVIDIA GPU and VRAM, selects the best Whisper model for your hardware
- Docker-based — zero host dependencies beyond Docker. Two images:
light (~500 MB) for download and keyframes, full (~8 GB) for Whisper + CUDA
- Persistent knowledge — saves transcripts, keyframes, and structured knowledge docs to
~/.claude/learned/, stores summaries in vector memory for future recall
Quick start:
claude plugin marketplace add ErikTMA/claude-plugins
claude plugin install learn-from-video@etma-plugins
/learn-from-video https://www.youtube.com/watch?v=...
Requirements:
Installation
As a marketplace
Register the marketplace and install individual plugins:
claude plugin marketplace add ErikTMA/claude-plugins
claude plugin install anf-website-builder@etma-plugins
claude plugin install learn-from-video@etma-plugins
Manual
Clone and copy plugin files directly:
git clone https://github.com/ErikTMA/claude-plugins.git
cp -r claude-plugins/plugins/anf-website-builder ~/.claude/plugins/anf-website-builder
Contributing
Contributions welcome. Each plugin lives in plugins/<name>/ and follows the Claude Code plugin structure:
plugins/<name>/
├── .claude-plugin/
│ └── plugin.json # Plugin metadata
├── skills/
│ └── <name>/
│ └── SKILL.md # Skill instructions
├── references/ # Supporting documentation
├── commands/ # Slash commands (optional)
├── scripts/ # Supporting scripts (optional)
└── README.md
License
MIT
heygen-com
DojoCodingLabs
jeremylongshore
sonpiaz
itsPremkumar
jacobcwright