Exam-prompt

Universal agent normalizer that detects which AI coding agent is running and maps the Exam Prompt skill system to the agent's native configuration format. Supports 20+ coding agents as of June 2026. Ensures every agent can discover, load, and invoke all 30+ skills regardless of its native skill mechanism. Run this skill first whenever you are onboarding a new agent or if skills fail to load. Works for any university worldwide.

Generates exam-ready A+ answers for ANY university worldwide — SPPU, VTU, IITs, NITs, MIT, Oxford, Cambridge, Harvard, NUS, and 50+ more. Covers ALL question types (theory, numerical, MCQ, case study, derivation, diagram, design, etc.), ALL mark levels (1-100+), ALL exam conditions (closed/open book, online, oral, lab, take-home), ALL Bloom's levels, and ALL command words. Pre-configured with SPPU Computer Engineering intelligence. Universally adaptable via syllabus PDF input. Trigger on ANY exam answer request. Never trigger for lab practical reports, project documentation, or coding assignments unless asked.

Generates assignment-ready content for any university worldwide across all assignment types (theory, numerical, case study, research, literature review, project proposals, design, analysis, comparison, critical review, problem-solving, and diagram/illustration). Supports multiple output formats, evaluation depth mapping, marking scheme generation, and citation requirements. University-agnostic.

Generates exam-ready question papers for ANY university worldwide. Supports 11+ university patterns (SPPU, VTU, JNTU, Mumbai, AKTU, RGPV, IIT/NIT, North American, UK/Oxford/Cambridge, Generic), 13 question types, CO/Bloom mapping, marking schemes, and model answer keys.

Generates syllabus-locked, exam-ready academic notes for ANY university worldwide. Supports 12+ note formats with automatic format selection based on subject type, exam conditions, time available, and learning style. Works across all departments, disciplines, and degree programs.

Analyzes Previous Year Question Papers (PYQs) and official syllabus from ANY university worldwide to generate high-probability exam topics, question patterns, unit-wise trends, Bloom's distribution, marks analysis, CO/outcome mapping, and exam strategy. Trigger when user asks to analyze PYQs, find important topics, understand exam patterns, or wants strategic preparation guidance. Requires PYQ PDFs and syllabus as input. Never generates answers or teaches concepts.

Solves ANY case study type for ANY university worldwide. Covers business, engineering, medical, legal, ethical, social science, and technical case studies. Uses structured frameworks (SWOT, PESTEL, 5 Whys, Root Cause Analysis, Ethical Matrix, Fishbone, etc.) with per-section marking allocation.

Maps conceptual connections across subjects for ANY university worldwide. Shows how topics from one course relate to and build upon topics from other courses. Provides integrated learning paths, dependency graphs, and cross-referenced study materials. Essential for comprehensive exams and interdisciplinary understanding.

Generates professional diagrams (flowcharts, mind maps, architecture, UML, graphs) from Mermaid, D2, and Graphviz code. Renders to SVG for GitHub Markdown and embeds into PDFs automatically. Supports ALL diagram types for ANY university, ANY subject.

Converts Markdown study content to print-ready PDF documents with professional formatting. Covers full pipeline from source PDFs to clean text to Markdown notes to PDF output. Works for ANY university, ANY subject. Trigger on requests to generate PDFs from Markdown, create printable study materials, or batch-convert notes to PDF.

Scores and evaluates student answers against university-specific rubrics for ANY university worldwide. Covers ALL question types, ALL mark ranges (1-100+), ALL Bloom's levels. Provides detailed feedback per evaluation criterion with improvement suggestions and model answer comparison.

Converts any study material (notes, textbooks, syllabus topics, PYQs) into optimized flashcards for ANY university worldwide. Supports 6 flashcard types across 3 difficulty tiers with built-in Spaced Repetition System (SRS) metadata. Exports to Anki, Quizlet, CSV, and text formats. Works for ALL subjects, ALL departments.

Generates compact, exam-ready formula sheets for ANY university worldwide. Covers engineering, mathematics, physics, chemistry, finance, statistics, and data science. Organized by unit with variable definitions, SI units, and quick-reference annotations. Optimized for closed-book recall and open-book quick lookup.

Generates high-probability IMP topics, exam-relevant questions grouped by marks/unit, time-optimized preparation strategies, and emergency plans for ANY university worldwide. Trigger when user asks for important topics, IMP questions, exam strategy, "what to study", high-weightage topics, or last-minute preparation plans. Requires PYQ PDFs and syllabus as input. Never generates answers or teaches concepts. Works for all universities: SPPU, VTU, JNTU, RGPV, PU, DU, IPU, API Abdulkalam, UPTU, GTU, BPUT, and any international university following a semester/year exam pattern.

Generates complete laboratory report structures for ANY university worldwide. Covers engineering, science, medical, and research labs. Provides full templates including aim, apparatus, theory, procedure, observations, calculations, results, discussion, and conclusions. Adapts to any university's lab report format requirements.

Emergency exam preparation system for ANY university worldwide. Generates ultra-compressed study plans for 12-hour, 6-hour, 3-hour, and 1-hour timeframes. Uses rapid memory encoding techniques (memory palace, chunking, peg system, acronym chains) for maximum retention in minimum time. Covers ALL subjects, ALL exam types.

Generates exam-style multiple choice questions for ANY university worldwide. Covers ALL question patterns (single correct, multiple correct, assertion-reason, match-the-following, true/false, fill-in-the-blank). Adapts difficulty by Bloom's level and provides detailed answer explanations. Works for ALL subjects and ALL exam patterns.

Generates visual concept maps and mind maps for ANY university worldwide. Connects topics hierarchically with cross-links, color coding by Bloom's level, and priority annotations. Supports Mermaid syntax, text outline, and image description formats. Works for ALL subjects and ALL exam patterns.

Persistent session configuration for the Exam Prompt system. Stores university, subject, exam pattern, and user profile across skill calls. Eliminates redundant context detection by providing a single JSON profile that every other skill reads. Works for ANY university worldwide.

First-time project configuration for the Exam Prompt skill system. Scaffolds per-repo config: university detection, subject/pattern selection, PYQ path setup, dependency validation, and session profile creation. Run ONCE per repo before using any other exam prompt skill. Works for any university worldwide. Run when: user says "setup", "configure", "first time", "get started", or "onboard".

SPPU Physical Exam Simulation Engine for ANY university worldwide. Models real examination hall constraints — answer-book page limits, writing speed, time pressure, examiner psychology, and moderator-level marking. Provides a SYSTEM ROLE that transforms any answer generator into an SPPU Moderator-Level Academic Answer Writer. Operates in ULTRA-DEEP THINK MODE with silent moderator checks before every output. Pre-configured for SPPU 2019 & 2024 Pattern. Universally adaptable. Load BEFORE or ALONGSIDE universal-a-plus-answer-writer to enforce physical exam realism. Never load alone — this is a companion skill.

Generates personalized study schedules for ANY university worldwide. Accepts exam dates, syllabus scope, difficulty ratings, available hours, and learning preferences. Outputs day-by-day timetables with built-in spaced repetition, active recall sessions, and break scheduling. Covers ALL subjects, ALL exam types.

Generates complete academic thesis, dissertation, or project report structures for ANY university worldwide. Supports all sections — abstract, introduction, literature review, methodology, implementation, results, conclusion. Adapts to university-specific formatting guidelines and citation styles.

Converts any document (PDF, DOCX, images, scanned docs) to clean, LLM-friendly text. First step before any skill processing. Works for ANY university, ANY document type.

Universal entry point for ANY university worldwide. Detects the user's university from directory of PDFs, uploaded files, verbal descriptions, URLs, or implicit context. Identifies exam pattern (Indian, US, UK, European, Australian, Asian, or Generic) and routes to the correct universal skill. Works for ALL engineering/science/arts/commerce departments across every country.

Prepares students for oral exams, viva voce, interviews, and defense presentations for ANY university worldwide. Simulates realistic examiner-student dialogue with follow-up questions, anticipated probes, and grading criteria. Covers ALL disciplines, ALL exam conditions (closed/open, panel, individual, online).

Generates step-by-step solutions for coding problems, numericals, and programming assignments for ANY university worldwide. Produces explanation, algorithm, pseudocode, actual code, complexity analysis, and test cases. Works for ALL programming languages, ALL subjects, ALL exam patterns.

Generates compact, exam-ready cheat sheets (micro notes) for ANY university worldwide. Produces single-page dense reference sheets matching the official SPPU Micro format — Letter portrait, 3-column layout, continuous definition text, unit-wise organization. Supports ALL subjects, ALL patterns, ALL exam types.

Fetches real question papers for ANY university worldwide via AI web search, or generates university-style question papers with proper formatting. Uses LLM web search as the primary method (no single-site dependency, works for any university). Falls back to automated scripts for SPPU. Supports ALL universities, ALL branches, ALL patterns, ALL semesters.

Pre-optimized sample answers and prompts for ANY subject at ANY university worldwide. Contains a Subject Template Framework covering Engineering, Science, Management, Law, Medical, Computer Science, Mathematics, and Humanities disciplines. Includes SPPU Computer Engineering examples as one reference implementation among many. Covers 2-mark, 4-mark, 6-mark, 10-mark, and 15-mark question patterns with time-budgeted responses.

Complete index of SPPU Previous Year Question Paper collection (2019–2025) across all Computer Engineering subjects. Organized as LLM-collected structured markdown files. Use this skill to find PYQ data for any SPPU Computer Engineering subject.

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