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AI & LLM Engineering · Perplexity
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Answer questions about the AI SDK and help build AI-powered features. | vercel-labs/ | 168 | 20 repos | ~1.2k | Automated safety check: Pass | No licence | 5 mo ago |
| 2 | Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff. | davila7/ | 33k | 11 repos | ~3.5k | Automated safety check: Notes | MIT | today |
| 3 | Searches the web and queries premium AI models through Perplexity's own web interface, tracking quota carefully across quick, Pro and Deep Research tiers. | jacob-bd/ | 198 | — | ~7.6k | Automated safety check: Pass | MIT | 6 days ago |
| 4 | 4.Geo Run Run a full GEO analysis — guides you through setup, brand research, query generation, execution, analysis, and reporting | onvoyage-ai/ | 384 | — | ~1.3k | Automated safety check: Notes | MIT | 7 mo ago |
| 5 | Adds new AI providers to claude-council, configures provider API settings, troubleshoots provider connections, and documents the provider script interface. | hex/ | 857 | — | ~635 | Automated safety check: Pass | MIT | 2 days ago |
| 6 | 6.Gptq Post-training 4-bit quantization for LLMs with minimal accuracy loss. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 7 | Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. | secondsky/ | 462 | — | ~3.3k | Automated safety check: Pass | GPL-3.0 | 6 days ago |
| 8 | 8.Natural Render the provided prompt template with Jinja context and send it to the active NPC's LLM. | NPC-Worldwide/ | 1.5k | — | ~161 | Automated safety check: Pass | MIT | today |
| 9 | Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. | NeverSight/ | 217 | 1 repo | ~2k | Automated safety check: Pass | No licence | yesterday |
| 10 | End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — container setup, vLLM/SGLang/ATOM serving, lm-eval / lighteval / evalscope benchmarks. | amd/ | 182 | — | ~6.2k | Automated safety check: Pass | MIT | 13 days ago |
| 11 | 当系统提示词需要定义 AI 模型何时搜索、如何搜索、搜索哪些数据源、以及如何处理搜索结果时调用此 Skill。适用于所有涉及实时知识检索的 AI 产品设计——聊天机器人、研究助手、企业知识库问答等。不适用于:纯离线场景(无搜索能力的环境)、已完全内化的知识问答(如数学推导)、创意生成任务。当需求仅涉及"从本地文件读取内容"而非"联网检索外部信息"时,这不是最佳 Skill。 | kangarooking/ | 208 | — | ~747 | Automated safety check: Pass | MIT | 5 mo ago |
| 12 | 当系统提示面向语音交互场景(语音助手、语音搜索、有声回答、电话客服 AI)时调用。适用于需要将文本输出优化为口语表达的系统提示设计。不适用于纯文本聊天界面,不适用于语音合成(TTS)技术选型,不适用于图像/视频多模态场景。 | kangarooking/ | 208 | — | ~642 | Automated safety check: Pass | MIT | 5 mo ago |
| 13 | NLP analysis with perplexity scoring, burstiness, and entropy metrics | wentorai/ | 298 | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |