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GitHub Dependabot Configuration Guide

github/awesome-copilot

This comprehensive guide details how to configure and manage GitHub Dependabot. It covers everything from setting up initial dependency updates (npm, pip, docker, etc.) to advanced strategies like monorepo glob patterns, cross-directory grouping, and multi-ecosystem updates. Learn how to automate dependency vulnerability detection and version upgrades efficiently.

DevOps Rollout Planner

devops-rollout-plan

github/awesome-copilot

Builds production-ready rollout plans covering checks, procedures, verification signals, rollback, and communications for infrastructure or application changes across environments.

AI Output Verifier

github/awesome-copilot

Three-layer verification pipeline that extracts verifiable claims from AI output, searches the web for supporting or contradicting sources, flags hallucinations, and builds structured reports for human review.

DrawIO Diagram Generator

draw-io-diagram-generator

github/awesome-copilot

Generates and edits draw.io (.drawio/.drawio.svg/.drawio.png) files via mxGraph XML, supporting templates, layout guidance, and the VS Code Draw.io extension so diagrams for flowcharts, architecture, UML, ER, sequences, and networks open without manual fixes.

Eval-Driven Development for LLM Applications

eval-driven-dev

github/awesome-copilot

This skill guides the end-to-end process of building automated evaluation pipelines for Python applications powered by Large Language Models (LLMs). It teaches how to define evaluation criteria, instrument the application, build golden datasets, and run real-world evaluations using tools like pixie, ensuring the app's logic (not just the LLM) is rigorously tested. Ideal for QA, benchmarking, and improving LLM-based services.

Fabric Lakehouse Guide

fabric-lakehouse

github/awesome-copilot

Explains Fabric Lakehouse storage, data organization, security, shortcuts, and optimization practices so you can design, build, and monitor Lakehouse solutions leveraging Microsoft Fabric best practices.

Fedora Issue Triage

fedora-linux-triage

github/awesome-copilot

Guides Fedora experts through confirming release information, executing systemctl/journalctl/dnf diagnostics, applying SELinux-aware remediation, and documenting verification plus rollback steps for distro-specific issues.

Power Automate Flow Studio Connector

flowstudio-power-automate-mcp

github/awesome-copilot

This is the foundational plumbing layer connecting AI agents to the Power Automate platform via FlowStudio MCP. It provides essential capabilities such as secure authentication setup, robust tool discovery (`list_skills`, `tool_search`), and handling complex, oversized API responses. It serves as the prerequisite layer for specialized workflow skills (e.g., building, debugging, monitoring).

Fluent UI Blazor Guide

fluentui-blazor

github/awesome-copilot

Guides setting up Microsoft Fluent UI Blazor components, ensuring providers/services registrations, handling icon packages, binding lists and autocomplete, plus using dialog and toast services in Blazor apps.

Project Folder Blueprint

folder-structure-blueprint-generator

github/awesome-copilot

Analyzes diverse codebases to auto-detect technology stacks, microservices/monorepo traits, and frontend presence, then documents consistent folder conventions, visualization options, and template guidance to keep large projects organized.

FreeCAD Python Scripting And Modeling

freecad-scripts

github/awesome-copilot

Expert skill for generating production-quality Python scripts specifically for the FreeCAD CAD application. This includes automating complex 3D modeling tasks, creating parametric FeaturePython objects, performing advanced geometric operations (Boolean, Fillet, Loft), building custom GUI tools using PySide, and handling mesh/FEM analyses via the FreeCAD Python API. Ideal for CAD automation and engineering visualization.

Engineering Guide for GDPR Compliance

github/awesome-copilot

A comprehensive guide for engineers, architects, and DevOps teams on implementing General Data Protection Regulation (GDPR) best practices. This skill covers Privacy by Design, data minimization, purpose limitation, retention policies, secure API design, and compliant logging practices. Use it when handling any personal data, designing new features, or reviewing systems for data privacy compliance.

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