Skill UI

Send custom logs to an Azure Monitor Log Analytics workspace with the Python Logs Ingestion API. Covers authentication, Data Collection Rules, batching, async clients, and error handling.

Expert AI-assisted debugging workflow for modern software systems. Covers triage, observability data collection, hypothesis generation, strategy selection, instrumentation, root cause analysis, fix implementation, validation, and prevention. Ideal for developers facing complex production issues.

This skill enables deep web scraping, screenshots, and PDF parsing using the Firecrawl API. It extracts content from web pages, handles page interactions like clicking and scrolling, and processes multiple URLs in batch. Ideal for automated data collection tasks requiring robust extraction capabilities.

A collection of production-ready patterns for integrating frontend applications with backend APIs. It solves complex asynchronous issues such as race conditions, stale data, and duplicate requests. Patterns include centralized API layering, request cancellation (AbortController), exponential backoff retries, debouncing, and request deduplication, ensuring highly resilient and reliable user experiences.

HasData is a comprehensive cloud platform designed for extracting structured public web data. It supports three core execution modes: Web Scraping API for arbitrary URLs (including JS rendering), pre-parsed Scraper APIs for known platforms (like Google or Amazon), and asynchronous Scraper Jobs for bulk or recursive crawling. Ideal for market research, e-commerce intelligence, job data collection, and local business lead generation.

Use the HasData CLI to access real-time, structured web data from major platforms. This tool provides dedicated subcommands for various APIs (including Google SERP, Amazon, Zillow, Booking, etc.), enabling users to automate data collection, scrape specific URLs, and retrieve structured information like local business listings, product pricing, and real estate data directly from the command line.

Official guidance for the `hf` command-line tool that manages the Hugging Face Hub. Covers authentication, downloading and uploading models, datasets and Spaces, bucket storage sync, local cache maintenance, collection management and CLI updates.

Master ERC-721 and ERC-1155 standards for creating NFT collections, marketplaces, and metadata. Learn Solidity implementation, on-chain/off-chain metadata best practices, and advanced features like royalties and dynamic NFTs.

Build and operate Retrieval-Augmented Generation (RAG) systems using vector stores, embedding pipelines, and hybrid search. This skill covers ingesting documents, generating embeddings, storing in vector databases, and serving grounded LLM responses. It includes setting up embedding pipelines, vector store infrastructure, and deploying hybrid search (dense + sparse) to reduce hallucinations and improve semantic search over large document collections.

Enrich IOCs and profile threat actors from public sources with defined boundaries. Supports domain, IP, URL, hash, email, and wallet enrichment, plus impersonation and scam investigation. Includes X/Twitter data collection via Xquik, normalization, independent verification, and intelligence package handoff.

Deploy, configure, and optimize production vector databases such as Qdrant, Weaviate, pgvector, and Pinecone for RAG, semantic search, and recommendations, covering collection design, HNSW indexing, quantization, and multi-tenant filtering.

A comprehensive skill for interacting with Weaviate vector databases. It enables advanced operations including semantic search, hybrid keyword querying, schema inspection, data exploration, collection creation, and bulk data import (CSV, JSON, PDF). Use this skill when you need to query data conceptually, retrieve specific raw objects, or manage the lifecycle of Weaviate collections.