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Website Scraping and Crawling Pipeline

firecrawl-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

This workflow provides the primary mechanism for converting complex, live websites into clean, LLM-ready markdown content. It supports single-page scraping using `scrapeUrl`, deep multi-page site crawling with `crawlUrl`, and scalable async crawling for large datasets. Ideal for building robust content ingestion pipelines and reliably extracting structured information from the web.

Firecrawl Data Processing and Management

firecrawl-data-handling

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive pipeline for processing, validating, and optimizing scraped web content from Firecrawl. This tool handles markdown cleaning, structured data extraction using Zod validation, content deduplication, and chunking tailored for Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. It ensures crawled data is standardized, clean, and ready for downstream consumption or knowledge base indexing.

Firecrawl Content Ingestion Pipeline Architecture

firecrawl-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive reference architecture details a multi-stage pipeline for web scraping and content ingestion using Firecrawl. It seamlessly integrates single-page scraping, site-wide crawling, URL mapping, and structured data extraction. The subsequent processing layer handles cleaning, deduplication, and chunking, making this blueprint ideal for designing robust knowledge bases, RAG systems, and complex AI data pipelines.

Advanced Pandas Data Manipulation Expert

Jeffallan/claude-skills

An expert guide for performing complex data analysis, cleaning, and transformation using pandas DataFrames. This skill covers advanced techniques such as vectorized operations, efficient merging, time series resampling, group-by aggregations, and memory optimization, ensuring production-grade code and robust data validation.

Automated Data Preprocessing

preprocessing-data-with-automated-pipelines

jeremylongshore/claude-code-plugins-plus-skills

This skill builds and executes automated pipelines to clean, validate, and transform data for machine learning, covering ETL workflows, error handling, and quality reporting so Claude can deliver analysis-ready datasets.

NeuroKit2 Biosignal Processing

K-Dense-AI/claude-scientific-skills

NeuroKit2 is a Python biosignal processing toolkit for ECG, EEG, EDA, RSP, EMG, and EOG data that automates cleaning, feature extraction, and HRV/complexity analysis for psychophysiology, clinical, and HCI studies.

PubMed Database Access

pubmed-database

K-Dense-AI/claude-scientific-skills

Direct REST/API access to PubMed for constructing complex Boolean or MeSH queries, filtering by publication attributes, and automating literature retrieval or citation management via NCBI’s E-utilities.

Pandas Data Toolkit

sickn33/antigravity-awesome-skills

Pandas is a Python data analysis library that simplifies loading, cleaning, transforming, and analyzing structured datasets, making it ideal for data wrangling in analytics or engineering workflows.

Structured X/Twitter Post Reader

sickn33/antigravity-awesome-skills

ADHX provides a dedicated API to fetch X/Twitter posts as clean, structured JSON. It extracts comprehensive data, including author profiles, engagement metrics (likes, retweets), and full article content for long-form posts. This method is vastly superior to traditional scraping techniques, making it ideal for LLM analysis, summarization, and structured data workflows.

PubMed Data Access

pubmed-database

sickn33/antigravity-awesome-skills

Provides REST API access to PubMed for building advanced Boolean/MeSH queries, filtering by publication details, and programmatically fetching citations through E-utilities, making it ideal for systematic reviews and automated literature workflows.

Credit Risk Data Cleansing

datanalysis-credit-risk

github/awesome-copilot

Structured pipeline for credit risk pre-loan modeling that loads and formats raw data, filters abnormal periods, trims high-missing/low-IV/high-PSI/high-correlation features, denoises via Null Importance, and exports an Excel cleaning report for review.

Matchms Mass Spectra Toolkit

K-Dense-AI/scientific-agent-skills

Process, clean, compare, and search tandem mass spectra with matchms 0.33.1. Covers MS/MS file I/O, metadata harmonization, peak filtering, spectral similarity scoring, library matching, score matrices, and molecular-similarity networks in Python.

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