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Local Development Workflow for TwinMind API

twinmind-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

Configure a comprehensive local development environment for integrating the TwinMind API. This guide walks you through setting up a project structure, configuring environment variables, and building a reusable client class using TypeScript and Axios. It is ideal for developers building applications that require local testing of transcription, summary generation, or meeting automation workflows.

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 Observability and Health Monitoring

twinmind-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive observability for the TwinMind AI meeting system. This skill allows users to monitor critical performance metrics, including transcription quality (using Ear-3 model), meeting coverage, action item extraction accuracy, and memory vault health. It is essential for implementing robust, enterprise-grade AI workflows and managing the operational status of advanced meeting AI applications.

Optimize TwinMind Meeting Transcription Performance

twinmind-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This skill optimizes the performance of TwinMind's meeting AI operations. It fine-tunes transcription accuracy and speed using the advanced Ear-3 model, managing audio quality, and implementing caching strategies. Ideal for developers or system administrators needing to integrate, troubleshoot, or optimize high-volume meeting transcription workflows.

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.

TwinMind SDK Patterns for AI Integration

twinmind-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This guide provides production-ready patterns for implementing the TwinMind AI memory and meeting intelligence REST API. It covers best practices for authentication, storing contextual memories, searching knowledge bases, and processing meeting transcripts to extract actionable insights. Use this when building robust, scalable AI-powered applications or standardizing team coding practices.

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.

Voice AI Engine Development

voice-ai-engine-development

sickn33/antigravity-awesome-skills

Guides building async worker pipelines for real-time conversational voice agents with streaming transcription, LLM reasoning, and interrupt-aware TTS across providers.

Whisper Speech Recognition

Orchestra-Research/AI-Research-SKILLs

OpenAI’s Whisper provides robust multilingual speech-to-text transcriptions, translations to English, and language detection across 99 languages, suitable for podcasts, meetings, and noisy audio workflows with CPU/GPU acceleration and batch or streaming modes.

YouTube Content Summaries

youtube-summarizer

sickn33/antigravity-awesome-skills

Extract transcripts from YouTube videos, validate URLs and availability, then use STAR+R-I-S-E with youtube-transcript-api to craft comprehensive summaries and documentation for lectures, tutorials, and informational clips.

Arboreto GRN Inference

K-Dense-AI/claude-scientific-skills

Arboreto infers gene regulatory networks from bulk or single-cell RNA-seq data using scalable GRNBoost2 and GENIE3 algorithms, letting researchers filter transcription-factor targets, run distributed Dask jobs, and export ranked links for downstream analysis.

GEO Data Retriever

K-Dense-AI/claude-scientific-skills

Connect to NCBI's GEO repository, search series/samples/platforms via Entrez queries, fetch profiles, and download raw/processed matrices using GEOparse for transcriptomics and expression analysis workflows.

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