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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Drives a self-hosted Open Notebook instance to organize sources into notebooks, chat with documents, generate notes and multi-speaker podcasts, and search across material. | agent-skills-hub/ | 112 | 3 repos | ~2.6k | Automated safety check: Pass | MIT | 9 days ago |
| 2 | Walks the user through Charlie Hills's AI Second Brain + Karpathy Wiki setup from the MarTech AI newsletter. | charlie947/ | 189 | — | ~3.5k | Automated safety check: Pass | MIT | 5 mo ago |
| 3 | Triage an exported chat history into what to ingest, what to archive and what to delete, with a privacy pass first. | undefined-ui/ | 1k | — | ~527 | Automated safety check: Pass | MIT | yesterday |
| 4 | Routes, triages, flags and rates a piece of text with a probability for every option: which department or queue a ticket goes to, which intent a message expresses, whether a yes/no condition holds… | oaustegard/ | 150 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 5 | Evaluate WooAIAssistant against a structured scenario suite with hard invariants + LLM-as-judge rubric scoring. | woocommerce/ | 358 | — | ~7.4k | Automated safety check: Notes | GPL-2.0 | yesterday |
| 6 | GitHub Actions pipeline for Speak integrations with mocked API tests and audio validation. | jeremylongshore/ | 2.8k | — | ~650 | Automated safety check: Pass | MIT | yesterday |
| 7 | Execute Speak primary workflow: AI Conversation Practice with real-time feedback. | jeremylongshore/ | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 8 | Optimize Speak API costs through usage monitoring, tier selection, and efficient audio processing. | jeremylongshore/ | 2.8k | — | ~647 | Automated safety check: Pass | MIT | yesterday |
| 9 | Handle student audio data, assessment records, and learning progress with GDPR/COPPA compliance. | jeremylongshore/ | 2.8k | — | ~651 | Automated safety check: Pass | MIT | yesterday |
| 10 | Deploy Speak language learning features to Vercel, Cloud Run, or containerized environments. | jeremylongshore/ | 2.8k | — | ~663 | Automated safety check: Pass | MIT | yesterday |
| 11 | Configure Speak for schools and organizations: SSO, teacher/student roles, class management, and usage reporting. | jeremylongshore/ | 2.8k | — | ~664 | Automated safety check: Pass | MIT | yesterday |
| 12 | Set up Speak language learning API integration and authentication. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Notes | MIT | yesterday |
| 13 | Migrate between language learning platforms, import student progress, and transition from legacy speech APIs. | jeremylongshore/ | 2.8k | — | ~672 | Automated safety check: Pass | MIT | yesterday |
| 14 | Configure Speak across dev, staging, and production with separate API keys and mock modes. | jeremylongshore/ | 2.8k | — | ~659 | Automated safety check: Pass | MIT | yesterday |
| 15 | Optimize Speak API latency with audio preprocessing, response caching, and connection pooling. | jeremylongshore/ | 2.8k | — | ~662 | Automated safety check: Pass | MIT | yesterday |
| 16 | Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. | jeremylongshore/ | 2.8k | — | ~684 | Automated safety check: Pass | MIT | yesterday |
| 17 | 17.Instructor Structured LLM outputs with Instructor — Pydantic models as response schemas for OpenAI, Anthropic, and any OpenAI-compatible API. | AlexAI-MCP/ | 135 | — | ~993 | Automated safety check: Pass | MIT | 6 mo ago |