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@intentsolutionsio/twinmind-pack

v1.0.0

Published

Claude Code skill pack for TwinMind - 24 skills covering AI meeting assistant, transcription, and memory vault integration

Downloads

131

Vulnerabilities

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Links

Git

Maintainers

intentsolutionsiointentsolutionsio

Keywords

claude-codeclaude-code-plugintwinmindmeeting-aitranscriptionspeech-to-textai-skillssaas-pack

Readme

TwinMind Skill Pack

Claude Code skill pack for TwinMind AI meeting assistant integration (24 skills)

Installation

/plugin install twinmind-pack@claude-code-plugins-plus

About TwinMind

TwinMind is an AI-powered "second brain" that captures and organizes your spoken knowledge. Built by ex-Google X scientists at ThirdEar AI Inc., TwinMind transcribes meetings, generates summaries, extracts action items, and builds a searchable memory vault of everything you've discussed. Raised $5.7M (seed round, Sept 2025).

Key facts:

  • Ear-3 speech model: 5.26% Word Error Rate, 3.8% speaker diarization error, 140+ languages
  • Privacy-first: On-device audio processing, no recordings stored, local transcripts with optional encrypted cloud backup
  • Multi-model AI: Auto-routes to GPT-4, Claude, or Gemini based on task (summaries, quick answers, memory search)
  • Platforms: Chrome extension, iOS, Android with two-way sync
  • Pricing: Free (unlimited transcription) / Pro $10/mo / Enterprise (custom, on-premise)

Skills Included

Standard Skills (S01-S12)

| Skill | Description | |-------|-------------| | twinmind-install-auth | Install Chrome extension, mobile app, calendar integration | | twinmind-hello-world | First meeting transcription with AI summary and action items | | twinmind-local-dev-loop | Development workflow with TwinMind API integration | | twinmind-sdk-patterns | Transcription patterns, memory vault queries, AI routing | | twinmind-core-workflow-a | Meeting transcription and summary workflow | | twinmind-core-workflow-b | Action item extraction and follow-up automation | | twinmind-common-errors | Diagnose microphone, transcription, and sync errors | | twinmind-debug-bundle | Audio diagnostics, API health, extension state | | twinmind-rate-limits | API limits, context token management, model routing | | twinmind-security-basics | On-device processing, encrypted backups, permissions | | twinmind-prod-checklist | Production deployment and integration checklist | | twinmind-upgrade-migration | Plan tier upgrades and feature migrations |

Pro Skills (P13-P18)

| Skill | Description | |-------|-------------| | twinmind-ci-integration | CI pipeline for meeting workflow automation | | twinmind-deploy-integration | Production deployment with API access | | twinmind-webhooks-events | Meeting events, transcription completion, calendar sync | | twinmind-performance-tuning | Ear-3 configuration, audio quality, caching | | twinmind-cost-tuning | Tier selection, usage monitoring, cost optimization | | twinmind-reference-architecture | Meeting AI pipeline architecture |

Flagship Skills (F19-F24)

| Skill | Description | |-------|-------------| | twinmind-multi-env-setup | Dev/staging/prod environment configuration | | twinmind-observability | Transcription quality, coverage, and vault health | | twinmind-incident-runbook | Transcription failures, sync issues, recovery | | twinmind-data-handling | GDPR compliance, data export, retention policies | | twinmind-enterprise-rbac | On-premise, SSO, custom models, team sharing | | twinmind-migration-deep-dive | Migrate from Otter.ai, Fireflies, Grain |

Quick Start

  1. Install Chrome extension from Chrome Web Store
  2. Sign in with Google or email
  3. Join a Google Meet, Zoom, or Teams call in your browser
  4. Click TwinMind icon and "Start Transcribing"
  5. After the meeting: review transcript, AI summary, and action items

Ear-3 Speech Model

| Metric | Value | Industry Comparison | |--------|-------|-------------------| | Word Error Rate | 5.26% | Best in class | | Speaker Diarization | 3.8% DER | Best in class | | Languages | 140+ | Broadest coverage | | Cost | $0.23/hour | Competitive | | Latency | Real-time | On-device processing |

Resources

License

MIT