4 plugins, each analyzed from its own files.
Claude Code plugin that extracts video frames via ffmpeg and processes audio through configurable backends (Gemini API, local Whisper, or OpenAI) to give Claude direct visual and audio understanding of videos. The plugin supports local files and YouTube URLs, automatically adapting frame extraction parameters based on user queries.
This Jira integration plugin provides two specialized skills—jira-communication for API operations and jira-syntax for wiki markup handling—that auto-detect issue keys and enable comprehensive Jira actions through Python CLI scripts. It supports both Jira Server/DC and Cloud deployments with zero MCP overhead, running scripts directly via Bash for fast execution.
memsearch automatically captures and indexes your Claude Code session history as semantic memories, allowing Claude to recall past work across sessions without manual saving. It runs entirely locally using ONNX embeddings and shell hooks, integrating with Claude Code's native skill and hook system.
Hivemind provides cloud-backed persistent memory using Deeplake, allowing you to read, write, and share memory across Claude Code sessions and agents through hooks that capture session events and tool usage. The plugin integrates with your workflow via Node.js commands and skills, enabling collaborative memory management across multiple Claude instances.