Agent skill

Exam Study Plan

by mohitagw15856 in mohitagw15856/pm-claude-skills

Build a backward-planned study schedule for an exam — using proven learning methods, not just re-reading — so you cover what matters and actually retain it.

MITAuto-check passedEducation

Install Exam Study Plan

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill exam-study-plan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills exam-study-plan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/exam-study-plan .claude/skills/exam-study-plan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
exam-study-plan
GitHub stars
1.4k
Token cost
~1.2k tokens
SKILL.md length
564 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Build a backward-planned study schedule for an exam — using proven learning methods, not just re-reading — so you cover what matters and actually retain it.

  • Works in 6 steps: Work back from the date. Lay out the… → Prioritize by weight and weakness. Spend… → Use methods that work. Replace… → …
  • Asked to make a study plan
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework: Plan Back, Study… and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Exam Study Plan is an agent skill from mohitagw15856/pm-claude-skills. Build a backward-planned study schedule for an exam — using proven learning methods, not just re-reading — so you cover what matters and actually retain it. Use when asked to make a study plan, help me study for [exam], I have an exam in [time], or how do I revise. Produces a week-by-week plan working back from the exam date, prioritized by weighting and your weak spots, sessions built on active recall and spaced repetition, past-paper/practice integration, and a realistic pace with breaks — not an unsustainable…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Education, covering Study guides and flashcards. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked to make a study plan
  • Help me study for [exam]
  • I have an exam in [time]
  • How do I revise

Example prompts

  • “/exam-study-plan”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Work back from the date. Lay out the weeks to the exam and allocate topics across them, with tighter scheduling near the end.
  2. Prioritize by weight and weakness. Spend the most time on high-yield, heavily-examined topics and your weak areas — not evenly, not on…
  3. Use methods that work. Replace re-reading/highlighting with active recall (testing yourself), spaced repetition (revisiting over…
  4. Practice under real conditions. Integrate past papers/mocks, especially in the final stretch, timed and closed-book, to build exam…
  5. Pace it sustainably. Focused blocks with breaks, and a buffer for slippage — a plan you can keep beats an ideal one you abandon.
  6. Finish with consolidation. The last days are for review and confidence, not cramming new material.

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Exam Study Plan loads about 1.2k tokens when it runs. Until then it costs about 144 tokens; SKILL.md has 564 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~144
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 564 words, ~1,158 tokens.

Download SKILL.mdSave it as .claude/skills/exam-study-plan/SKILL.md (or your agent's skills folder).
name
exam-study-plan
description
Build a backward-planned study schedule for an exam — using proven learning methods, not just re-reading — so you cover what matters and actually retain it. Use when asked to make a study plan, help me study for [exam], I have an exam in [time], or how do I revise. Produces a week-by-week plan working back from the exam date, prioritized by weighting and your weak spots, sessions built on active recall and spaced repetition, past-paper/practice integration, and a realistic pace with breaks — not an unsustainable cram that forgets everything by exam day.

Exam Study Plan

Most study plans fail two ways: they're a vague "revise everything" with no schedule, and they rely on re-reading and highlighting — which feel productive but barely work. This builds a backward-planned schedule from your exam date, focuses effort where it counts, and uses the methods that actually create retention (active recall, spaced repetition, practice testing) so you walk in prepared, not fried.

What This Skill Produces

  • A backward-planned schedule — week-by-week (and nearer the date, day-by-day) working back from the exam
  • Prioritized coverage — weighted by what's most examined and where you're weakest, not equal time on everything
  • Effective methods — sessions built on active recall, spaced repetition, and practice testing rather than passive re-reading
  • Practice integration — past papers/mock exams worked in, especially close to the date, under realistic conditions
  • A sustainable pace — study blocks, breaks, and buffer, so it's doable and doesn't collapse into a cram
  • A final-days plan — light review and consolidation, not last-minute new material

Required Inputs

Ask for these if not provided:

  • The exam — subject, format (multiple choice, essay, problems), and date
  • Time available — how many days/weeks and hours per day
  • The material — topics/syllabus and their rough weighting
  • Your weak spots — what you find hard or haven't covered
  • Your baseline — how prepared you are now, and any practice resources (past papers)

Framework: Plan Back, Study Actively, Test Often

  1. Work back from the date. Lay out the weeks to the exam and allocate topics across them, with tighter scheduling near the end.
  2. Prioritize by weight and weakness. Spend the most time on high-yield, heavily-examined topics and your weak areas — not evenly, not on what's already solid.
  3. Use methods that work. Replace re-reading/highlighting with active recall (testing yourself), spaced repetition (revisiting over increasing intervals), and practice problems — these drive real retention.
  4. Practice under real conditions. Integrate past papers/mocks, especially in the final stretch, timed and closed-book, to build exam readiness and surface gaps.
  5. Pace it sustainably. Focused blocks with breaks, and a buffer for slippage — a plan you can keep beats an ideal one you abandon.
  6. Finish with consolidation. The last days are for review and confidence, not cramming new material.
Show full SKILL.md (205 more words)Show less

Output Format

Study plan: [exam/format] · date [x] · [hours/day available]

Priorities: [high-weight topics + your weak spots] get the most time. Schedule (backward)

  • Weeks out: [topic coverage with active recall].
  • Mid: [continue + start practice].
  • Final week: [past papers timed · consolidate weak spots].
  • Last days: [light review, confidence, sleep — no new material].

Methods each session: active recall · spaced repetition · practice problems (not re-reading). Pace: [blocks + breaks + buffer].

Quality Checks

  • Schedule is planned backward from the exam date
  • Time is prioritized by topic weight and weak areas
  • Sessions use active recall/spaced repetition/practice, not re-reading
  • Past papers/mocks are integrated, timed, near the end
  • Pace is sustainable with breaks and buffer
  • Final days are consolidation, not new material

Anti-Patterns

  • "Revise everything" with no schedule or priorities.
  • Passive re-reading/highlighting as the main method.
  • Equal time on all topics regardless of weight/weakness.
  • No practice papers until it's too late.
  • A cram plan that burns out and forgets.

Example Trigger Phrases

  • "I have a chemistry exam in 3 weeks — build me a study plan."
  • "Help me revise for finals, I have five subjects."
  • "Make a study schedule that actually helps me remember things."
  • "How should I study for a multiple-choice licensing exam?"
  • "I've got 10 days and a lot to cover — plan my revision."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/exam-study-plan of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Exam Study Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Categories

Questions about Exam Study Plan

What does Exam Study Plan do?

Build a backward-planned study schedule for an exam — using proven learning methods, not just re-reading — so you cover what matters and actually retain it. Exam Study Plan is an agent skill from mohitagw15856/pm-claude-skills. Build a backward-planned study schedule for an exam — using proven learning methods, not just re-reading — so you cover what matters and actually retain it.

When should I use Exam Study Plan?

Exam Study Plan fits situations like: asked to make a study plan; help me study for [exam]; I have an exam in [time]; how do I revise.

How do I install Exam Study Plan in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill exam-study-plan -a claude-code`. Or copy the skill folder (skills/exam-study-plan in mohitagw15856/pm-claude-skills) into .claude/skills/exam-study-plan in your project. Claude Code loads it when a task matches its description.

How do I install Exam Study Plan in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill exam-study-plan -a codex`. Or copy the skill folder (skills/exam-study-plan in mohitagw15856/pm-claude-skills) into .agents/skills/exam-study-plan in your project. Codex loads it when a task matches its description.

Can I use Exam Study Plan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill exam-study-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exam-study-plan, .gemini/skills/exam-study-plan, .github/skills/exam-study-plan and .opencode/skills/exam-study-plan in your project.

What does Exam Study Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: Exam Study Plan is instructions for the agent only.

Does Exam Study Plan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Exam Study Plan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Exam Study Plan use?

Exam Study Plan is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Exam Study Plan use?

About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Exam Study Plan?

Skills that share tags, products or a category with Exam Study Plan: Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 354 stars), Nihaisha (JuneYaooo/nihaisha-nishi-tcm, 2.2k stars), Claude Certification Tutor (rohitg00/ai-engineering-from-scratch, 66k stars) and StudyVault Quiz Tutor (bevibing/tutor-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Exam Study Plan?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.