Add exam-ready skill (#1419)

* Add files via upload

What it does:
Converts student-provided PDFs/notes + a syllabus into concise, exam-ready outputs per topic — definitions, key points, keywords, diagrams, and ready-to-write exam sentences.
Features:

MCQ vs written exam mode
Triage mode with priority ordering for time-constrained students
Missing input handling
Cross-references between related topics
Practice question per topic

* Move exam-ready skill into skills folder and update index

docs/README.skills.md

@@ -135,6 +135,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
 | [email-drafter](../skills/email-drafter/SKILL.md) | Draft and review professional emails that match your personal writing style. Analyzes your sent emails for tone, greeting, structure, and sign-off patterns via WorkIQ, then generates context-aware drafts for any recipient. USE FOR: draft email, write email, compose email, reply email, follow-up email, analyze email tone, email style. | None |
 | [entra-agent-user](../skills/entra-agent-user/SKILL.md) | Create Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments. | None |
 | [eval-driven-dev](../skills/eval-driven-dev/SKILL.md) | Set up eval-based QA for Python LLM applications: instrument the app, build golden datasets, write and run eval tests, and iterate on failures. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model. | `references/1-a-entry-point.md`<br />`references/1-b-eval-criteria.md`<br />`references/2-wrap-and-trace.md`<br />`references/3-define-evaluators.md`<br />`references/4-build-dataset.md`<br />`references/5-run-tests.md`<br />`references/6-investigate.md`<br />`references/evaluators.md`<br />`references/testing-api.md`<br />`references/wrap-api.md`<br />`resources` |
+| [exam-ready](../skills/exam-ready/SKILL.md) | Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions strictly from the provided material. | None |
 | [excalidraw-diagram-generator](../skills/excalidraw-diagram-generator/SKILL.md) | Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw. | `references/element-types.md`<br />`references/excalidraw-schema.md`<br />`scripts/.gitignore`<br />`scripts/README.md`<br />`scripts/add-arrow.py`<br />`scripts/add-icon-to-diagram.py`<br />`scripts/split-excalidraw-library.py`<br />`templates` |
 | [fabric-lakehouse](../skills/fabric-lakehouse/SKILL.md) | Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices. | `references/getdata.md`<br />`references/pyspark.md` |
 | [fedora-linux-triage](../skills/fedora-linux-triage/SKILL.md) | Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance. | None |