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Manage algorithmic STEM exam revision through automated course triage, adaptive practice drills, and progress tracking.
Free
Exam Hacker
Example session with this skill installed
I have my Linear Algebra exam in two days. I'm struggling with Basis Transformation. Audit my notes in /docs/course and tell me what to do first.
- Read your context and instructions
- Compiled the exam hacker
I have audited the 3 files in /docs/course and matched them against your exam date. Based on the remaining 48 hours, Basis Transformation is marked as a P0 blocker for Change of Basis and Diagonalization.
Triage Result: Linear Algebra Revision
| Priority | Topic | Evidence | Impact | Next Action |
|---|---|---|---|---|
| P0 | Basis Transformation | User report / missing practice | Blocks 40% of exam | compress method chain |
| P1 | Eigenvalues | Unverified | High weight | drill verification |
| P2 | Vector Spaces | Self-report: Strong | Prerequisite only | Defer |
Current Strategy
You have ~6 hours of study time remaining. We will focus on the transition matrix algorithm. I have created progress/materials.md with the source anchors from your PDF.
Next steps
- Review the compressed note on Change of Basis Matrices at
progress/notes/basis-transform.md. - Complete the one-problem drill: "Calculate the coordinate vector [x]B given basis B' and transition matrix P".
- Submit your result for grading to update the mastery record.
Connects securely to your tools. The creator never sees your data.
About this skill
STEM exams require more than just reading notes. They require a rigorous loop of compression, practice, and feedback. This skill package manages the entire revision lifecycle for algorithmic STEM subjects, from initial course triage to final practice drills. It eliminates the overhead of tracking what you have already mastered and what needs immediate attention.
What it does
- Course Triage audits materials and identifies high-priority blocks based on exam weight and current gaps.
- Knowledge Compression generates minimal executable explanations for complex algorithmic chains.
- Adaptive Drilling selects or generates STEM exercises, manages answer exposure, and grades submissions.
- Dynamic Replanning adjusts the study schedule based on actual performance and remaining time.
- Checked Solutions provides verified, step-by-step worked examples for specific problems.
How it works
- Use
triageto audit your PDF course materials and set a target exam date. - Follow the suggested
compressexplanation to patch a specific method gap. - Execute
drillto attempt a problem, then submit your work for grading. - Review the
replanoutput to see how your performance changed the next priority.
Frameworks & tools
The system uses Markdown for all records and includes Python scripts for PDF readability auditing and specialist discovery. It relies on a local file structure to maintain state across sessions.
Why this beats prompting it yourself
Generic prompts often reveal answers too early or fail to track mastery across different topics. This skill enforces a strict evidence-based record, ensuring that "understanding" is verified by independent work before moving on.
Use cases
- Auditing a 500-page textbook to find the P0 topics three days before a final.
- Practicing retrieval by generating fresh variants of a specific calculus problem.
- Repairing a specific misconception in a multi-step physics algorithm without re-reading the whole chapter.
Known limitations
Designed for algorithmic STEM subjects where work is checkable. Requires a local file structure for progress tracking. Visual PDF auditing requires specific local script execution.
What's included (6 skills)
exam-hacker-compress
Review an algorithmic STEM block through the minimum executable knowledge chain, or repair a specific observed gap. Use when a learner needs a method framework or a step explained before practice.
exam-hacker-drill
Select or generate a suitable STEM exercise, present it without answers, grade the learner's work, update Markdown progress, and provide the next task. Use to practice, test understanding, or submit answers.
exam-hacker-replan
Adjust exam priorities and upcoming work after meaningful performance, feedback, new course evidence, or time changes. Update the Markdown plan and immediately connect it to the next learner task.
exam-hacker-solve
Give a complete checked solution to one algorithmic STEM problem, explaining the method and its limits. Use when the learner requests the answer or a worked example; visible solutions are practice, not proof of mastery.
exam-hacker-triage
Quickly decide what to study first for an algorithmic STEM exam using course evidence, current ability, and remaining time, with explicit confidence. Use for a new course, missing exam context, or a source audit; no full-course ability test by default.
exam-hacker
Guide algorithmic STEM exam revision from course materials through block review, practice, feedback, and the next concrete task. Use to start, continue, resume in a new chat, or decide what to study next.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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