Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Translates infrastructure goals into Huawei Cloud Terraform configurations and executes deployment with user-guided approval. Covers compute, networks, databases, storage, load balancing, DNS, monitoring, containers, and serverless resources.
Sets up the Terraform CLI across platforms, including support for Huawei Cloud mirrors. Applies to explicit installation requests and infrastructure tasks that detect a missing Terraform installation.
Collects reports of errors, bugs, dissatisfaction, and suggestions involving Huawei Cloud. Distills developer experiences into high-value product requirements through a Voice of Developer workflow.
Provides patterns for HubSpot CRM integration, including OAuth authentication, CRM objects, associations, and custom objects. Covers batch operations, webhooks, and the Node.js and Python SDKs.
Explains OMG's StatusBar and TreeView workflow status surfaces in VS Code. Supports viewing workflow dashboards and current OMG status.
Provides a catalog of AI and machine learning resources across scientific disciplines. Helps use datasets, models, inference APIs, and interactive Spaces through Hugging Face tools, with methodology citations.
Supports model selection for specific use cases through recommendations and benchmark comparisons. Addresses top-performing models and compatibility with a user's laptop, machine, or device.
Runs model evaluations on local hardware using inspect-ai and lighteval. Guides local GPU evaluation and backend selection among vLLM, Transformers, and accelerate; excludes cloud job orchestration and evaluation publication.
Uses the Hugging Face Dataset Viewer API to inspect subsets and splits, paginate rows, search text, and apply filters. Retrieves Parquet download URLs and dataset size or statistics.
Creates Python web UIs and demos with Gradio. Covers components, event listeners, layouts, and chatbot interfaces.
Covers SFT, DPO, GRPO, reward modeling, and GGUF conversion for local deployment. Guides dataset preparation, validation, GPU selection, cost estimation, monitoring, authentication, model selection, and persistence for training on Hugging Face Jobs.
Find GGUF models, choose quantization levels, locate exact files, and convert models for local use. Covers llama.cpp servers and OpenAI-compatible serving on CPU, Mac Metal, CUDA, and ROCm.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
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Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name