nvidia-nim
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
发现 devops llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection
Design and deploy AI workloads across AWS, Azure, GCP, and OCI with intelligent routing, cost optimization, and cross-cloud patterns
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
Implement AI-powered statusline with session tracking, plan detection, workspace emojis, and intelligent caching for Claude Code
LEGACY SKILL - Manual NotebookLM web interface workflow. The primary workflow now uses notebooklm-enterprise-api for automated audio generation. Use this skill only when the API is unavailable.
Generate podcast audio using NotebookLM Enterprise API via Google Cloud. Automates the manual NotebookLM workflow - creates notebook, uploads sources, generates audio with custom focus prompt. Requires Google C...
DEPRECATED - Use gpt-researcher skill instead. This browser automation approach has been replaced with the local GPT-Researcher framework using OpenAI o1.
Process NotebookLM audio files: convert, transcribe, add chapters, and prepare for publishing.
Automate Perplexity Deep Research API calls using sonar-deep-research model. Use for Phase 1 academic research in podcast episodes. Handles API key verification, script execution (30-120s), and result formattin...
Run GPT-Researcher multi-agent deep research framework locally using OpenAI GPT-5.2. Replaces ChatGPT Deep Research with local control. Researches 100+ sources in parallel, provides comprehensive citations. Use...
Manages the Notion LLM Config Table database tracking model configurations and parameters across multiple model providers. Use when working with the LLM config table, adding models, updating model parameters, o...
Conversation phases, topic drift, and convo-exit protocols
Personal assistant for daily routines, task management, and productivity
Complete conversation lifecycle management - start (understanding & alignment), capture (mid-conversation context), and exit (debrief & improvement). Use automatically at conversation boundaries and checkpoints...
Open Commerce MCP and AI operations context
Create new Claude Code skills. Use when the user wants to create a skill, make a skill, add a skill, write a skill, or build a skill for Claude Code.
Guide for creating services in the backend. Use when asked to create a service layer component. Directs to the appropriate service skill based on the type of service needed.
Master AI, machine learning, LLMs, prompt engineering, and blockchain development. Use when building AI applications, working with LLMs, or developing smart contracts.
Master backend development with Node.js, Python, Java, Go, Rust, API design, databases, and microservices. Use when building APIs, designing systems, or learning backend frameworks.
Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
Process and analyze text using modern NLP techniques - preprocessing, embeddings, and transformers
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。