Create optimized Dockerfiles with AI-driven best practices. Activate when users mention "create dockerfile", "container image", "docker optimization", "containerize application", or "docker best practices". Handles Docker configuration generation. Use when working with windsurf dockerfile generation functionality. Trigger with phrases like "windsurf dockerfile generation", "windsurf generation", "windsurf".
Docker Compose Creator - Auto-activating skill for DevOps Basics. Triggers on: docker compose creator, docker compose creator Part of the DevOps Basics skill category.
Create docker compose creator operations. Auto-activating skill for DevOps Basics. Triggers on: docker compose creator, docker compose creator Part of the DevOps Basics skill category. Use when working with docker compose creator functionality. Trigger with phrases like "docker compose creator", "docker creator", "docker".
Manage docker container basics operations. Auto-activating skill for DevOps Basics. Triggers on: docker container basics, docker container basics Part of the DevOps Basics skill category. Use when working with docker container basics functionality. Trigger with phrases like "docker container basics", "docker basics", "docker".
Generate dockerfile generator operations. Auto-activating skill for DevOps Basics. Triggers on: dockerfile generator, dockerfile generator Part of the DevOps Basics skill category. Use when working with dockerfile generator functionality. Trigger with phrases like "dockerfile generator", "dockerfile generator", "dockerfile".
Docker Container Basics - Auto-activating skill for DevOps Basics. Triggers on: docker container basics, docker container basics Part of the DevOps Basics skill category.
Manage cloud development sandboxes with cloudrouter. Create, sync, and access remote VMs with GPU support, Docker, and browser automation. Use when asked to create a sandbox, spin up a dev environment, run code in the cloud, use GPUs, automate a browser, or interact with remote VMs.
Use when building cloud-native apps. Keywords: kubernetes, k8s, docker, container, grpc, tonic, microservice, service mesh, observability, tracing, metrics, health check, cloud, deployment, 云原生, 微服务, 容器
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
End-to-end guide for implementing, testing, and optimizing neural network operators in the ESP-DL framework. Covers C++ module implementation, C reference kernels, SIMD assembly optimization, esp-ppq quantization strategy integration, Docker-based build/test, and inference result alignment between esp-dl and esp-ppq. Use this skill whenever the user wants to add a new operator, implement an operator, optimize an existing operator with SIMD, add quantization support for an operator, or test/validate operator correctness. Also triggers for "算子实现", "添加算子", "SIMD优化", "量化支持", "算子对齐" and similar phrases.
Interact with research artifacts running in separate Docker containers via artifact-runner. Execute commands through HTTP API, read files, and verify artifact functionality.
Evaluate research artifacts running in separate Docker containers via artifact-runner. Access artifacts through HTTP API, execute commands, read files, and analyze PDFs.
Quantitative finance analysis including portfolio optimization, risk modeling, and time series econometrics using jupyter_execute. Use when the user asks about portfolio analysis, stock returns, financial risk, investment optimization, or volatility modeling.
Core academic workspace tools: LaTeX compilation, Jupyter execution, PDF loading, UI control, content updates, and arXiv paper conversion. Use when the user asks to compile LaTeX, run Python code, load PDFs, display data, or control workspace editors.
Read and analyze arXiv papers by fetching LaTeX source, listing sections, or extracting abstracts. Use when the user mentions arXiv, research papers, preprints, paper IDs like 2301.xxxxx, or wants to read academic publications.
Compile LaTeX documents to PDF using pdflatex, xelatex, or lualatex with template support. Use when the user asks to compile .tex files, build a LaTeX document, generate PDF from LaTeX, or typeset an academic paper.
Create, edit, and compile LaTeX documents for academic papers using latex_compile, update_latex, and send_ui_directive tools. Use when the user mentions LaTeX, .tex files, academic writing, typesetting, or needs to compile documents with equations, theses, or journal submissions.
Design and run machine learning experiments with proper evaluation using jupyter_execute, including training, benchmarking, and ablation studies. Use when the user wants to train models, compare algorithms, run ablation studies, evaluate ML performance, or reproduce paper results.
