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Configure TwinMind Enterprise RBAC Setup

twinmind-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to setting up TwinMind Enterprise for large-scale corporate environments. This includes configuring on-premise deployment, integrating custom AI models (GPT-4, Claude, Gemini), and enabling Single Sign-On (SSO) using Okta. It is essential for implementing strict Role-Based Access Control (RBAC) and managing team-wide meeting intelligence and transcript sharing in a secure, enterprise setting.

Migrate To TwinMind Meeting AI Platform

twinmind-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This guide assists in migrating meeting AI workflows from competing tools (such as Otter.ai, Fireflies) to TwinMind. It provides a deep dive into setting up the enterprise environment, covering prerequisites, API configuration, and utilizing advanced AI models (GPT-4, Claude, Gemini) for robust transcription and intelligent summarization. Ideal for managing large-scale meeting intelligence operations.

TwinMind AI Meeting Reference Architecture

twinmind-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide outlines the production-grade reference architecture for advanced AI meeting systems using TwinMind. It details the end-to-end workflow, integrating high-accuracy transcription (Ear-3), AI summarization (GPT-4, Claude, Gemini), memory vault management, and automatic action item and calendar integration. Use this resource when implementing or managing a robust, automated AI meeting solution.

Managing TwinMind Webhooks And Events

twinmind-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This guide details how to handle critical TwinMind meeting events, including transcription completion, automated action item extraction, and calendar synchronization notifications. It is essential for developers implementing robust webhooks or managing advanced AI operations within a corporate meeting workflow using services like GPT-4, Claude, or Gemini.

Vertex Agent Builder

vertex-agent-builder

jeremylongshore/claude-code-plugins-plus-skills

Scaffolds production-ready generative AI agents on Vertex AI with Gemini models, multi-modal tools, RAG, and Cloud Run/Endpoint deployment, including observability and evaluation for enterprise scenarios.

Vertex AI Terraform Expert

vertex-infra-expert

jeremylongshore/claude-code-plugins-plus-skills

Specializes in provisioning Vertex AI infrastructure with Terraform, covering Model Garden, Gemini endpoints, vector search indexes, ML pipelines, and enterprise-grade production deployments.

Reasoning Driven Image Briefs

muapi-nano-banana

SamurAIGPT/Generative-Media-Skills

Reasoning-Driven Image Briefs skill transforms agent prompts into logic-based Gemini 3 style instructions for muapi.ai, adding structured creative briefs (subject/action/context/composition/lighting), precise text cues, and physics-grounded constraints before invoking generation scripts.

AI Image Generator

K-Dense-AI/claude-scientific-skills

Generate or edit high-quality photos, illustrations, and visual assets using OpenRouter models like Gemini 3.1 Flash and Flux 2 Pro; configure the API key once, then run the scripts for prompts, edits, or batch outputs for presentations, marketing, or general creative needs.

Smart Infographic Generator

K-Dense-AI/claude-scientific-skills

Generates professional infographics by describing your idea, combining Nano Banana Pro AI generation with Gemini 3 Pro quality review and optional Perplexity Sonar research to ensure accurate, publication-ready visuals for marketing, reports, social, or internal use.

Smart Scientific Diagrams

scientific-schematics

K-Dense-AI/claude-scientific-skills

Use Nano Banana 2 plus Gemini 3.1 Pro Preview to iteratively craft publication-quality scientific schematics—neural nets, pathways, or system diagrams—matching document-type quality thresholds.

Integrating Google Gemini API for AI Projects

gemini-api-integration

sickn33/antigravity-awesome-skills

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.

Auditing AI Agent Security in Workflows

agentic-actions-auditor

sickn33/antigravity-awesome-skills

Performs static security analysis on GitHub Actions workflows that incorporate AI coding agents (e.g., Claude, Gemini, OpenAI). This skill helps identify critical data flow vulnerabilities, such as where attacker-controlled input can reach AI agent prompts or internal systems via CI/CD pipelines, going beyond simple expression checks.

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