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Databricks CI/CD with GitHub Actions

databricks-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

This skill details how to set up automated CI/CD pipelines for Databricks data pipelines. It leverages Declarative Automation Bundles (DABs) and GitHub Actions to manage the entire deployment lifecycle. Key functionalities include running unit tests on pull requests, validating and deploying to staging environments, and promoting validated code to production upon merge, ensuring reliable and automated data infrastructure.

Juicebox CI/CD Data Analysis Testing

juicebox-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Configure automated Continuous Integration and Continuous Deployment (CI/CD) pipelines for Juicebox AI data analysis integrations. This setup utilizes GitHub Actions to run comprehensive unit tests (with mocked datasets) and integration tests (connecting to live APIs) on every PR and merge to main. It ensures that data upload logic, analysis execution, and result parsing workflows are robust and reliable before deployment.

Analyzing Public Sentiment Over Last 30 Days

mvanhorn/last30days-skill

A powerful research tool that gathers comprehensive insights on any topic by aggregating posts and engagement data from major platforms like Reddit, X, YouTube, TikTok, GitHub, and the broader web. It provides a multi-source analysis of public sentiment and key trends over the last 30 days, helping users understand real-time public discourse and market signals.

Health Data Integration and Knowledge Base Query

sickn33/antigravity-awesome-skills

This skill integrates multiple digital health sources (such as Apple Health, Fitbit, Oura, and CSV/JSON files) into a unified system. It processes, standardizes, and validates diverse health data formats, and connects this data to a dedicated knowledge base (WellAlly.tech). It provides intelligent recommendations and article retrieval based on the user's current health context and needs.

Analyzing Browser Forensics with Hindsight

analyzing-browser-forensics-with-hindsight

mukul975/Anthropic-Cybersecurity-Skills

Hindsight is an open-source digital forensics tool designed to parse and correlate artifacts from Chromium-based browsers (Chrome, Edge, Brave, Opera). It extracts comprehensive data, including browsing history, cookies, download records, autofill data, and saved passwords, generating unified, chronological timelines essential for incident response, insider threat investigation, and digital forensics cases.

Analyzing Windows Amcache Forensic Artifacts

analyzing-windows-amcache-artifacts

mukul975/Anthropic-Cybersecurity-Skills

A specialized tool for digital forensics investigators that parses the Windows Amcache.hve registry hive. It extracts crucial evidence regarding program execution history, application installation metadata, and loaded driver binaries. By correlating SHA-1 hashes and reconstructing timelines, users can determine which executables ran on a system, aiding in incident response and threat detection.

Automated AI Data Scraping Agent

data-scraper-agent

affaan-m/everything-claude-code

Build a production-ready, AI-powered data collection agent for any public source (job boards, prices, news, etc.). This agent automatically scrapes data, enriches it using free LLMs (like Gemini Flash), and stores the results in databases such as Notion, Sheets, or Supabase. It runs on a free schedule using GitHub Actions and learns from user feedback, making it ideal for continuous data monitoring and tracking.

Analyzing Windows Event Logs for Forensics

extracting-windows-event-logs-artifacts

mukul975/Anthropic-Cybersecurity-Skills

A comprehensive workflow for extracting, parsing, and analyzing Windows Event Logs (EVTX). It guides security professionals in using advanced tools like Chainsaw and Hayabusa, combined with Sigma rules, to detect critical security incidents such as lateral movement, privilege escalation, and persistence mechanisms during incident response and digital forensic investigations.

Digital File Carving With Foremost And Scalpel

performing-file-carving-with-foremost

mukul975/Anthropic-Cybersecurity-Skills

This toolset guides users through advanced digital forensic techniques using tools like Foremost and Scalpel. It demonstrates how to perform file carving—recovering specific file types (images, documents, etc.) from raw disk images or unallocated space—by analyzing file headers and footers (magic bytes). This is critical for evidence extraction when traditional file system metadata is unavailable or corrupted.

Analyzing Windows LNK Files Artifacts

analyzing-windows-lnk-files-for-artifacts

mukul975/Anthropic-Cybersecurity-Skills

This comprehensive guide provides a detailed workflow for parsing Windows LNK shortcut files in a digital forensics context. It extracts critical artifacts including target paths, timestamps (creation, access, modification), volume serial numbers, and machine identifiers. It is essential for reconstructing user file access history, tracking accessed files on network shares, and building robust forensic timelines.

Knowledge Operations and Lifecycle Management

affaan-m/everything-claude-code

This framework manages the ingestion, organization, synchronization, and search of knowledge across multiple storage layers, including local files, persistent memory, vector stores, and Git repositories. It provides a structured approach for ensuring knowledge durability, deduplication, and maintaining a 'single source of truth' across complex development and operational contexts.

dbt Change Validation Notebook Generator

monte-carlo-validation-notebook

sickn33/antigravity-awesome-skills

This skill automatically generates an interactive SQL Notebook designed to validate changes in dbt models or snapshots. It processes changes identified from a GitHub PR or local repository, generating comparison queries that compare 'before' (production) and 'after' (development) data states. It is essential for embedding data observability and quality checks into CI/CD pipelines.

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