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AI & LLM Engineering · curiositech/some_claude_skills
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols. | curiositech/ | 244 | 2 repos | ~3.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 2 | Build production computer vision pipelines for object detection, tracking, and video analysis. | curiositech/ | 244 | — | ~4k | Automated safety check: Pass | MIT | 1 mo ago |
| 3 | Build production-ready LLM applications, advanced RAG systems, and intelligent agents. | curiositech/ | 244 | 7 repos | ~2k | Automated safety check: Notes | MIT | 1 mo ago |
| 4 | Expert speech-language pathologist specializing in AI-powered speech therapy, phoneme analysis, articulation visualization, voice disorders, fluency intervention, and assistive communication… | curiositech/ | 244 | 2 repos | ~1.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 5 | Semantic image-text matching with CLIP and alternatives. An agent skill from curiositech/some_claude_skills. | curiositech/ | 244 | — | ~2.3k | Automated safety check: Notes | MIT | 1 mo ago |
| 6 | Expert photography composition critic grounded in graduate-level visual aesthetics education, computational aesthetics research (AVA, NIMA, LAION-Aesthetics, VisualQuality-R1), and professional… | curiositech/ | 244 | — | ~1.3k | Automated safety check: Notes | MIT | 1 mo ago |
| 7 | Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. | curiositech/ | 244 | — | ~3.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 8 | Implement AI chatbot analytics and conversation monitoring. An agent skill from curiositech/some_claude_skills. | curiositech/ | 244 | — | ~2.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 9 | Selects the optimal LLM model and provider for each task based on complexity, cost budget, and capability requirements. | curiositech/ | 244 | — | ~1.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 10 | Tracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget. | curiositech/ | 244 | — | ~1.1k | Automated safety check: Pass | MIT | 1 mo ago |