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AI & LLM Engineering · Perplexity

13 skills found.
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1
1.AI SDKOfficial

Answer questions about the AI SDK and help build AI-powered features.

vercel-labs/ai-facts16820 repos~1.2kAutomated safety check: PassNo licence5 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/claude-code-templates33k11 repos~3.5kAutomated safety check: NotesMITtoday
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/perplexity-web-mcp198—~7.6kAutomated safety check: PassMIT6 days ago
4

Run a full GEO analysis — guides you through setup, brand research, query generation, execution, analysis, and reporting

onvoyage-ai/voyage-geo-agent384—~1.3kAutomated safety check: NotesMIT7 mo ago
5

Adds new AI providers to claude-council, configures provider API settings, troubleshoots provider connections, and documents the provider script interface.

hex/claude-council857—~635Automated safety check: PassMIT2 days ago
6

Post-training 4-bit quantization for LLMs with minimal accuracy loss.

Orchestra-Research/AI-Research-SKILLs13k2 repos~2.9kAutomated safety check: PassMIT3 mo ago
7

Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP.

secondsky/sap-skills462—~3.3kAutomated safety check: PassGPL-3.06 days ago
8

Render the provided prompt template with Jinja context and send it to the active NPC's LLM.

NPC-Worldwide/npcpy1.5k—~161Automated safety check: PassMITtoday
9

Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs.

NeverSight/learn-skills.dev2171 repo~2kAutomated safety check: PassNo licenceyesterday
10

End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — container setup, vLLM/SGLang/ATOM serving, lm-eval / lighteval / evalscope benchmarks.

amd/Quark182—~6.2kAutomated safety check: PassMIT13 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/system-prompt-skills208—~747Automated safety check: PassMIT5 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/system-prompt-skills208—~642Automated safety check: PassMIT5 mo ago
13

NLP analysis with perplexity scoring, burstiness, and entropy metrics

wentorai/research-plugins2981 repo~2.3kAutomated safety check: PassMIT3 mo ago