Exam Ready
GitHubOfficialFirst committed by ayushsaklani-minDistributed by GitHub
- Skill
- Content generator
- Education and learning
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Exam-ready is a specialized study tool designed to help students prepare for assessments by distilling provided study materials into concise, actionable exam content. It operates strictly within the bounds of the user's notes and syllabus, ensuring that the output is relevant to the specific curriculum. The skill provides structured summaries, including definitions, key points, essential keywords, and practice questions, while offering a triage mode for time-constrained cramming sessions.
What it does
- Extracts one-line definitions and key examiner-expected points for syllabus topics.
- Identifies essential keywords to include in exam answers.
- Describes important diagrams or figures found in the study material.
- Provides ready-to-write sentences for long-answer exams or MCQ tricks for multiple-choice tests.
- Generates examiner-style practice questions for recall testing.
- Prioritizes study topics based on time constraints and material coverage.
When to use it
- When you have limited time to study and need to focus on high-priority topics.
- When you want to condense lengthy notes into essential, exam-focused summaries.
- When you need to practice recall using questions derived directly from your course material.
- When you need to identify connections between different topics in your syllabus.
Advantages
- Prevents information overload by focusing only on what is required for the exam.
- Ensures accuracy by relying exclusively on the student's own provided materials.
- Optimizes study time through a structured priority-based triage system.
- Provides ready-to-use phrasing for exam responses.
Usage examples
- “I have an exam tomorrow on biology. Here are my notes and the syllabus. I have 2 hours, help me prepare.”
- The agent will prioritize the syllabus topics based on your notes and provide a condensed summary of definitions, key points, and practice questions for each.
- “What do I need to know about photosynthesis for my exam? Here is my PDF.”
- The agent will extract the definition, key points, keywords, and a practice question specifically regarding photosynthesis from your PDF.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/github/exam-ready/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip exam-ready.zip -d .agents/skills
Documentation by ayushsaklani-min
exam-ready
Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam.
What this skill does
For each syllabus topic, extract from the provided material:
What it is (1 line definition — exam-ready)
3–5 key points an examiner expects
Important keywords to use in the answer (bold them)
Any important diagram or figure — describe what it shows in 2 lines
1–2 sentences the student can directly write in their exam answer (or MCQ trick if exam type is MCQ)
1 examiner-style practice question to test recall
Do NOT explain the full topic. Do NOT add context outside the provided material. Do NOT explain things the syllabus didn't ask for. Never tell the student to "read more" or "refer to chapter X". Give them what they need right here.
Input format
Student will provide:
A PDF file or pasted notes (their study material)
A syllabus — either pasted as text or listed as topics
Optionally: exam type (MCQ / short-answer / long-answer) and time available
Handling missing inputs
If no study material is provided: say "Please share your notes or PDF first. I won't use outside knowledge."
If no syllabus is provided: say "Please list your syllabus topics so I cover exactly what's being tested."
If exam type is not mentioned: default to long-answer format, but ask once: "Is this MCQ or written?"
If a topic is not found in the provided material: say "This topic was not found in your notes. Check your material."
Triage mode (when student gives a time constraint)
If the student says "I have X hours":
First, output a priority list — number all syllabus topics in order of:
Explicit weightage (if syllabus mentions marks)
Frequency of appearance in the PDF (more coverage = higher priority)
Breadth of subtopics under it
Then expand each topic in that priority order, not syllabus order.
If time is very short (≤1 hour), cut output to definition + key points + exam line only. Skip diagrams.
Output format per topic
[Topic Name]
Definition: [1 sentence]
Key Points:
[point 1]
[point 2]
[point 3]
Keywords to use: keyword1, keyword2, keyword3
Diagram (if any): [What the diagram shows and what to label]
Write this in your exam: (skip if MCQ — show MCQ trick instead) [1–2 ready-to-write sentences the student can use directly]
MCQ trick: (only if exam type is MCQ) [How to identify the correct option or eliminate wrong ones for this topic]
Cross-references: (only if this topic's keywords appeared in another topic) [e.g., "The term 'X' used here also appears in [Topic Y] — examiners may link them"]
Practice question: [1 examiner-style question to test recall on this topic]
Rules
Stay strictly within the provided material. Do not add outside knowledge under any circumstance.
If exam type is MCQ, replace "Write this in your exam" with "MCQ trick".
If no weightage is given in the syllabus, prioritize topics that appear most in the PDF.
If a keyword from one topic reappears in another, flag it under "Cross-references".
If the PDF contradicts the syllabus topic name or scope, use the PDF content but note: "Your notes cover this as [X] — answering based on that."
Keep everything short. The student is cramming, not researching.
Trigger phrases
"I have an exam tomorrow on [subject]"
"explain [topic] from my notes"
"what do I need to know about [topic] for my exam"
"go through my syllabus"
"I only have [X] hours, help me prepare"
"quiz me on [topic]"
Files
- ATTRIBUTION.mdAdded by AutoGineer869 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md3.9 KiB
Requirements and compatibility
Written for: GitHub Copilot
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- First committed by
ayushsaklani-min
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · skills/exam-ready · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- ayushsaklani-min
AutoGineer is not affiliated with or endorsed by ayushsaklani-min or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download exam-ready.zip