context-update
Scan repository and update context files
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Scan repository and update context files
Applies JAX patterns for scientific Python development. Use when working with JAX, distrax, numpyro, blackjax, or scientific computing. Covers vmap, JIT, RNG handling.
Creates publication-quality scientific plots. Use when making plots, figures, or visualizations. Applies tueplots TMLR styling, LaTeX rendering, no titles.
Reviews code and executes tasks with senior engineer discipline. Use when reviewing code, implementing features, fixing bugs, or any coding task. Enforces minimal changes and production-safe practices.
Runs Python scripts and manages projects using uv. Use when asked to run a python script, execute python code, run pytest, or install packages. Always uses uv instead of pip or bare python.
Comprehensive org-mode file generation and editing with proper syntax, formatting, and structure. Use when Claude needs to work with org-mode files (.org) for: (1) Creating new org-mode documents, (2) Editing e...
提取PDF文件中的文本,并按标题/段落结构化输出。适用于文档总结、数据提取等场景。
Infrastructure as Code for AI workloads using Terraform across AWS, Azure, GCP, and OCI
Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2025 MCP ecosystem including multi-server orchestration, security, and performance.
Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns
Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management
Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices
Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
Build AI applications on Azure using Azure OpenAI, Cognitive Services, and ML services with enterprise patterns
Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.
Create professional architecture diagrams using D2, Draw.io, Mermaid, and OCI official icons for enterprise-grade visualizations
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
Production-grade AI architecture patterns for enterprise - security, governance, scalability, and operational excellence
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
Update work_index/index.json and index.json based on recent work folder activity and work_index.db. Use at the end of a task.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.