Browse plugins

This plugin provides Model Context Protocol (MCP) integration for searching academic papers across multiple databases including arXiv, PubMed, IEEE, and Scopus through a single interface. It requires Docker for deployment and exposes search functionality via one command and two skills.

This plugin integrates the PageRangers SEO Monitoring API into AI assistants, enabling keyword analysis, ranking tracking, and KPI queries through a Python-based skill. It runs on user prompt submission and requires local credentials (API token and project hash) to access PageRangers data.

This plugin integrates Azure MCP Server, enabling access to 40+ Azure services through Azure CLI authentication directly within Claude. It provides command, skill, and MCP server components to manage Azure resources programmatically.

This plugin extracts video frames via ffmpeg and audio via configurable backends (Gemini API, local Whisper, or OpenAI), sending both to Claude for direct multimodal understanding. It supports YouTube URLs, adaptive parameter selection based on user intent, and offers an interactive setup wizard for configuration.

Claude-Mem for Cowork captures tool use and prompts via hooks, streams them to cmem.ai for server-side observation synthesis, and injects compiled context back into new sessions and spawned agents. It provides fail-soft operation with spool fallback, a mem-search skill for querying memory, and automatic project-based naming in ephemeral cloud sessions.

A Claude Code plugin providing comprehensive Jira integration through two specialized skills: jira-communication (API operations via Python CLI scripts) and jira-syntax (Wiki markup syntax, templates, validation). Auto-detects issue keys and supports both Jira Server/DC and Cloud deployments with zero MCP overhead.

memsearch automatically captures and recalls Claude's work across sessions by hooking into Claude Code's lifecycle and storing summarized memories as searchable embeddings. The plugin runs entirely locally using ONNX-based embeddings, requiring no API keys or external services.

Hivemind is a Claude Code plugin that provides cloud-backed persistent memory using Deeplake, allowing you to read, write, and share memory across multiple Claude Code sessions and agents through hooks and skills. It enables long-term state management and data persistence without requiring external API keys, using Node.js as the runtime dependency.

Claude Octopus is a multi-LLM orchestration plugin that integrates up to ten external AI providers (Codex, Copilot, Qwen, Ollama, Perplexity, OpenRouter, OrcaRouter, OpenCode, Grok) alongside Claude for consensus-gated code review, research, and multi-model workflows. It provides 53 commands, 49 specialized agent personas, 62 reusable skills, and structured four-phase methodology (Discover→Define→Develop→Deliver) with quality gates, persistent memory integration, and autonomous pipeline execution.

This plugin provides Ultralytics Platform API integration and YOLO26 training skills for Claude Code, with pre/post-tool-use hooks and a push guard that blocks force pushes via Python. It enables direct interaction with Ultralytics services and model training workflows while enforcing safe git practices.

The NotFair Plugin provides 45 open-source marketing and analytics skills for AI agents, enabling SEO audits, GEO optimization, and cross-channel ad management across Google, Meta, X, and LinkedIn platforms. It connects agents to live Google Search Console and GA4 data while maintaining safety through read-only review workflows and explicit change approvals.