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LearningAzure
LearningAzure contains 16 collected skills from Greg-T8, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Start or stop a certification study session by invoking Invoke-AzStudySession.ps1. Parses natural language to extract parameters and prompts for any that are missing. Use when asked to begin/start/stop a study session, start studying, track study time, or log study activity.
Reorganize practice exam questions by domain, skill, and task metadata for any certification exam, then update the coverage table on the exam README. Use when asked to organize practice exams, classify exam questions by domain, or update practice exam coverage.
Scaffold a new certification exam into the LearningAzure workspace. Creates the folder structure, README files, StudyLog, Skills.psd1, and updates all cross-cutting files (scripts, governance, shared contract, top-level README). Use when asked to add a new exam, create an exam, scaffold an exam, or introduce a new certification.
Extract and export flat URLs from a named markdown section and its subsections to a text file. Use when asked to extract links from a markdown section, flatten markdown links, export URLs from a section, get all links under a heading, or extract section/subsection link list.
Build structured reference link trees from Microsoft Learn learning paths or modules. Extracts modules, units, and inline documentation links into nested markdown for references pages. Use when building references, extracting learning path links, creating study reference documentation, or populating a references.md file.
Explain Microsoft Azure exam question outcomes from screenshots. Use when asked to explain why an exam answer is correct or incorrect, or to analyze a practice exam question result.
Extract exam questions from pasted screenshot images and format them as structured markdown. Replaces selected img tag(s) in a markdown file with the fully formatted question.
Procedures for generating lab README.md content, section by section. Section order is defined in lab-shared-contract R-011.
Template and script inventory for Azure hands-on labs. All cross-cutting rules are in the lab-shared-contract skill.
Scan and update hands-on-labs README.md files with accurate lab catalogs, statistics, and cross-references. Use when asked to update lab README, refresh lab catalog, update lab statistics, or update Related Labs and Related Practice Exam Questions sections for AZ-104, AZ-305, or AI-103. Legacy support remains for completed/retired tracks (AI-900) when explicitly requested.
Single source of truth for cross-cutting rules referenced by all agents and skills in the lab pipeline. Every requirement has a unique ID (R-0xx).
Extract exam questions from screenshot images or text and return structured title/prompt/answer markdown. Used by Lab Orchestrator workflows.
Procedures for producing architecture summaries, Mermaid diagrams, module breakdowns, and file trees from extracted metadata.
Bicep code generation procedures and patterns for Azure hands-on labs. Cross-cutting rules are in the lab-shared-contract skill.
Terraform code generation procedures and patterns for Azure hands-on labs. Cross-cutting rules are in the lab-shared-contract skill.
11-category compliance checklist and evaluation procedure for lab review. All check items reference lab-shared-contract requirement IDs.