Skill UI

Converts text-based documentation into structured Markdown by following explicit instructions, documented options, or reference files, supporting header levels, patterns, platforms, and cleanup steps for polished technical documents.

The GitHub Copilot SDK empowers developers to embed advanced, agentic AI workflows directly into their proprietary applications. It provides a programmatic interface to Copilot's production-tested agent runtime, allowing you to define complex agent behaviors, manage tool invocation, process file edits, and implement real-time streaming responses. Ideal for building custom, highly intelligent tools and automating complex tasks across multiple languages (Python, TypeScript, Go, .NET).

Automates creating a single GitHub feature issue from a specification file, checking existing issues first, filling title/description/labels per feature_request.yml, and including only spec-mandated changes.

This tool automates the entire workflow of creating a GitHub Pull Request (PR) directly from a structured specification file. It analyzes the template, extracts requirements, checks for existing PRs, creates the draft, updates the body and title with specification details, and finally transitions the PR state to 'Ready for Review'. This significantly streamlines the feature request submission process, ensuring all necessary documentation and metadata are included.

Produces production-ready Dataverse SDK code for Python, showcasing advanced error handling and retries, batch operations, OData query tuning, metadata lifecycle management, configuration/timeouts, cache invalidation, chunked file uploads, and Pandas integrations with references.

Provides Dataverse Python SDK snippets for installation, interactive authentication, CRUD, bulk operations, paging, and optional file uploads aligned with official guidance.

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.

Guides teams through creating a complete GitHub Copilot configuration by outlining required instructions, reusable skills, and agent/workflow files tailored to the chosen tech stack and workflow preferences.

Automates importing live Azure environments into Terraform by discovering subscriptions, groups, or resource IDs, mapping dependencies, and generating AVM-based IaC files ready for validation and planning.

Guides adding GraalVM native image support to Java apps by detecting Maven or Gradle frameworks, injecting native build plugins, configuring reflection/resource/JNI/proxy files, iterating builds per Oracle best practices, and validating the native executable.

Converts markdown documents to HTML via marked.js-style workflows, pandoc/gomarkdown knowledge, and templating systems like Jekyll or Hugo for both single-file and batch pipelines, enabling static site previews, documentation, and CLI/Node toolchains.

Synchronizes mature lessons from a domain-specific memory file into the matching instruction file inside VS Code, letting you choose global or workspace scope so you can preserve knowledge, cut redundancy, and finalize updates in a controlled merge process.