By lttr
Convert lecture videos to transcripts, outlines, and article drafts using automated workflow with ffmpeg and ElevenLabs API
I have extracted a couple of extensions for my Claude Code experience.
Chrome DevTools Protocol automation for agent-assisted web testing and interaction. Lightweight alternative to MCP-based browser tools.
See plugins/browser-tools/README.md for detailed documentation.
Claude Code authoring tools: create plugins, skills, commands, and introspect Claude Code internals.
Features:
plugin-creator skill - Create and manage plugins with proper structureskill-creator skill - Guide for creating effective skillschangelog skill - Personalized Claude Code changelog with relevance scoring/cc:list:builtin-tools - List built-in tools/cc:list:hooks - List configured hooks/cc:command:create - Create new custom commandsInstallation:
/plugin marketplace add lukastrumm/claude-marketplace
/plugin install cc@lttr-claude-marketplace
See plugins/cc/README.md for detailed documentation.
Developer workflow automation: triage requirements, generate activity insights, and manage git workflows with Azure DevOps and Confluence integration.
Features:
/df:commit - Git commit with commitlint format (type(ticket#): msg)/df:review - Code review current branch/df:triage - Analyze requirements against local codebase/df:spec - Generate implementation spec from triage output/df:insights:daily, /df:insights:weekly - Activity summaries from Git + Azure DevOps/df:insights:view - Interactive dashboard/df:insights:catchup - Download raw insights data/df:azdo:pr - Commit, push, create Azure DevOps PR in one step/df:azdo:branch - Create feature branch from ticket/df:azdo:review - Code review Azure DevOps PR/df:azdo:triage <ticket-id> - Triage Azure ticket with Confluence context/df:azdo:ticket:start, /df:azdo:ticket:cr - Work item state changesInstallation:
/plugin marketplace add lukastrumm/claude-marketplace
/plugin install dev-flow@lttr-claude-marketplace
See plugins/dev-flow/README.md for detailed documentation.
Repository-local .aiwork/ folder convention for AI-assisted workflows. Defines naming, frontmatter, and cross-reference standards for plans, specs, triage, reviews, and logs. Version control is optional.
Used by: dev-flow plugin (optional but recommended)
Installation:
/plugin install aiwork-folder-protocol@lttr-claude-marketplace
See plugins/aiwork-folder-protocol/README.md for detailed documentation.
Comprehensive Nuxt.js development guidance with Vue best practices, auto-imports awareness, and library-specific patterns.
Features:
Installation:
/plugin marketplace add lukastrumm/claude-marketplace
/plugin install nuxt@lttr-claude-marketplace
See plugins/nuxt/README.md for detailed documentation.
Automated workflow for converting lecture videos into transcripts, outlines, and article drafts using ffmpeg and ElevenLabs API.
See plugins/video-to-article/README.md for detailed documentation.
/plugin marketplace add lukastrumm/claude-marketplace
Or for local development:
/plugin marketplace add /path/to/claude-marketplace
/plugin
Select "Browse Plugins" to see available options, or install directly:
/plugin install browser-tools@lttr-claude-marketplace
/plugin install cc@lttr-claude-marketplace
/plugin install dev-flow@lttr-claude-marketplace
/plugin install nuxt@lttr-claude-marketplace
/plugin install video-to-article@lttr-claude-marketplace
/plugin install aiwork-folder-protocol@lttr-claude-marketplace
To add your plugin to this marketplace:
plugins/your-plugin-name/.claude-plugin/plugin.json with plugin metadata.claude-plugin/marketplace.jsonSee Claude Code Plugin Documentation for plugin development guidance.
MIT
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npx claudepluginhub lttr/claude-marketplace --plugin video-to-articleClaude Code authoring tools: create plugins, skills, commands, and introspect Claude Code internals
Developer workflow automation: triage requirements, generate specs, code review, activity insights, and manage Azure DevOps workflows with Confluence integration
Turn any video into a section-by-section study-notes markdown file with embedded screenshots and a timestamped transcript.
Summarize videos, audio, and podcasts via BibiGPT CLI directly in the terminal
Content extraction and processing utilities for developers
Let Claude watch a video. Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls captions or falls back to Whisper, and hands frames + transcript to Claude so it can answer questions about the video.
Compose yt-dlp + ffmpeg + Whisper into a single command that hands an AI agent the raw materials to watch any social video — VIDEO + FRAMES + TRANSCRIPT, ready for an LLM to read frames as images and transcript as text.
Generate NotebookLM artifacts (slides, audio, video, mind maps, quizzes, flashcards, infographics, reports, data tables) from your notebooks. Use when the user wants to create any NotebookLM Studio output from their uploaded sources.