Agent skills for Zed

Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement.

Build a stakeholder map using a power/interest grid, identify communication strategies per quadrant, and generate a communication plan.

Checklist that settles whether a thing should exist before any code — prior art search with a URL per fact, the distinct-value gate, the…

Preflight and run a release via script/publish — clean tree, tests green, changelog entry present, then hand off to the interactive script.

Enforces unified operational standards for GitHub repository access and Markdown document formatting across AI agent workflows.

Interactive naming convention standardization for TMDL-based Power BI semantic models.

Discover coding standards from project configuration files, code patterns, documentation, and external sources (PRs, CI/CD)

Look up the latest TheFocus.AI standards, inspect the current (or named) project, and write a dated mapping report: how the project…

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives…

Set up AI Runway on AKS — from bare cluster to running model.

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents.

Run Azure compliance and security audits with azqr plus Key Vault expiration checks.

Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale…

Azure cost management: query costs, forecast spending, optimize to reduce waste.

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure…

List, find, and show Azure resources across subscriptions or resource groups.

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources.

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake.

Unified Azure OpenAI model deployment skill with intelligent intent-based routing.

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions.

Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders).