Docs & Research Agent Skills

Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.

Create a concrete plan before starting a multi-file refactor. Use when the user asks to plan, sequence, scope, or safely execute a refactor across multiple files; always investigate first, output the plan, and wait for confirmation before making code changes.

Generate a language translation for a mkdocs documentation stack.

Analyzes git diffs or staged changes and generates narrative commit messages that explain WHY a change was made, not just what changed — following Conventional Commits format. Use when asked to "write a commit message", "generate a commit", "describe my changes", "what should I commit this as", "commit this", "summarize my diff", or "help me commit". Works with git diff output, staged files, or plain descriptions of changes.

Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.

Ensure that C# types are documented with XML comments and follow best practices for documentation.

Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping

Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment.

Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.

Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata. Use when working with images, creating thumbnails, resizing wallpapers, or performing batch image operations.

Ensure that Java types are documented with Javadoc comments and follow best practices for documentation.

Create and override Astro Starlight UI components. Use when replacing or extending built-in Starlight components (header, footer, sidebar, page title, etc.), adding custom UI alongside existing components, accessing page route data inside a component, or applying overrides conditionally on specific pages.

Translates technical content into plain English for non-technical stakeholders by converting jargon into business language, surfacing decisions and impact early, and producing actionable recommendations with clear ownership and timeline. Use when the user asks to simplify technical content, write an executive summary, explain something in layman's terms, rewrite for non-technical audiences, or translate jargon for management or stakeholders. Applies to document types such as technical reports, architecture decision records, incident summaries, risk assessments, and status updates. Distinct from general writing or documentation skills by its focus on audience identification, decision-first structure, and jargon elimination for non-technical readers.

Query Google NotebookLM notebooks directly for source-grounded, citation-backed answers from your uploaded documents. Includes browser automation, library management, and persistent authentication.

Systematically evaluate scholarly and research work using the ScholarEval framework. Use when assessing academic papers, research proposals, literature reviews, or scholarly writing for quality, rigor, and publication readiness. Triggers: evaluate paper, scholar evaluation, research quality assessment, peer review scoring, publication readiness, academic paper review, rate research quality, ScholarEval.