claude-code-skills

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs.

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs.

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs.

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs.

Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.

Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.

Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.

Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.

Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.

Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.

Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.

Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Build or edit Gradio apps, layouts, components, and chat interfaces in Python.