Agent skill

Review

by kirilxd in kirilxd/claude-tutor

A skill your agent uses when user asks about their learning progress or wants study guidance.

MITAuto-check passedEducation

Install Review

skills CLI
$ npx skills add kirilxd/claude-tutor --skill review -a claude-code

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

GitHub CLI
$ gh skill install kirilxd/claude-tutor review --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/kirilxd/claude-tutor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review .claude/skills/review && 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
review
GitHub stars
135
Token cost
~1.2k tokens
SKILL.md length
434 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when user asks about their learning progress or wants study guidance.

  • Works in 3 steps: Load Data → Display Progress → Recommend Next Action
  • User asks about their learning progress
  • SKILL.md covers Overview, Data Schemas and Process
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review is an agent skill from kirilxd/claude-tutor. Use when user asks about their learning progress or wants study guidance. Triggers on "how am I doing", "my progress", "what should I study next", "show my scores", "what are my weak areas", "review my learning", "how well do I know X", or any request to see quiz results, track improvement, or decide what to focus on next. Also use when the user seems unsure what to study — this skill provides data-driven recommendations.

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 Quizzes and assessments. The repository describes itself as: Turn Claude Code into your personal tutor — personalized learning plans, adaptive quizzes, SM-2 spaced repetition, and a web dashboard. Works with any topic. The licence is MIT.

When your agent uses it

  • User asks about their learning progress
  • Wants study guidance
  • What should I study next
  • What are my weak areas

Example prompts

  • “how am I doing”
  • “my progress”
  • “what should I study next”
  • “/review”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Load Data
  2. Display Progress
  3. Recommend Next Action

What it can do on your machine

Read from SKILL.md and the folder at commit ce19469. 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 (its code samples are json).

    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

Review loads about 1.2k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 434 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
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 kirilxd/claude-tutor at commit ce19469, republished under its MIT licence (© kirilxd). 434 words, ~1,185 tokens.

Download SKILL.mdSave it as .claude/skills/review/SKILL.md (or your agent's skills folder).
name
review
description
Use when user asks about their learning progress or wants study guidance. Triggers on "how am I doing", "my progress", "what should I study next", "show my scores", "what are my weak areas", "review my learning", "how well do I know X", or any request to see quiz results, track improvement, or decide what to focus on next. Also use when the user seems unsure what to study — this skill provides data-driven recommendations.

Review — Learning Progress Dashboard

ALWAYS use the AskUserQuestion tool when asking the user questions, in any context. If you have too many questions for the tool, split them up into multiple calls.

Overview

Show the user their learning progress across all topics or for a specific topic. Display quiz scores, module completion, weak areas, score trends, and actionable next steps.

Data Schemas

The review skill reads data written by the learn and quiz skills. Here are the formats you'll encounter:

index.json (~/.claude/learning/index.json) — master registry:

json
{
  "topics": {
    "topic-slug": {
      "displayName": "Topic Name",
      "planFile": "plans/topic-slug-2026-03-01.json",
      "progressFile": "progress/topic-slug.json",
      "created": "2026-03-01",
      "lastActivity": "2026-03-01",
      "level": "beginner",
      "modulesCompleted": 0,
      "modulesTotal": 5,
      "quizzesTaken": 1,
      "overallScore": 0.8
    }
  }
}

Plan files (~/.claude/learning/plans/<slug>-<date>.json) — contain modules[] with id, title, objectives, keyConcepts, estimatedTime, resources[].

Progress files (~/.claude/learning/progress/<slug>.json) — contain quizzes[] (each with date, module, score, total, questions[]), weakAreas[], strongAreas[], overallScore (percentage 0-100, not fraction).

Progress files now also contain spacedRepetition — a map of concept labels to SM-2 scheduling data (easeFactor, intervalDays, nextReview, repetitions). Concepts with nextReview at or before today are due for review.

Process

Step 1: Load Data

Read ~/.claude/learning/index.json.

If file doesn't exist or is empty:

  • Tell the user: "No learning data found yet. Use /learn <topic> to start your first topic!"
  • Stop here.

If user specified a topic (e.g., /review kubernetes):

  • Load that topic's plan and progress files
  • Show detailed single-topic view

If no topic specified:

  • Load all topics from index
  • Show overview of all topics
Show full SKILL.md (224 more words)Show less
Step 2: Display Progress

All-topics overview format:

── Learning Progress ─────────────────────────────

[Topic Name] (started [date])
  Module 1: [Title]    [progress bar] [score]%  ([N] quizzes)
  Module 2: [Title]    [progress bar] not started
  ...
  Weak areas: [list]
  Next step: [actionable suggestion]

[Topic Name 2] ...

── Due for Review ────────────────────────────────
  [Topic]: [N] concepts due ([list top 3 concept names])
  [Topic 2]: [N] concepts due ([list top 3])

  Run /quiz [topic] to review these concepts.
──────────────────────────────────────────────────

── Summary ───────────────────────────────────────
  Active topics: [N]
  Total quizzes taken: [N]
  Average score: [N]%
  Suggested focus: [topic — reason]
──────────────────────────────────────────────────

Due for review section:

If any concepts have nextReview at or before today across any topic, show the "Due for Review" block between the per-topic details and the Summary (as shown above). If no concepts are due, omit this block entirely.

Progress bar rendering:

  • Use Unicode block characters: █ for filled, ░ for empty
  • 10 characters wide
  • Based on quiz scores for that module (no quizzes = all empty)

Single-topic detailed format:

  • Show all modules with per-module quiz history
  • Show score trend if multiple quizzes (e.g., "Module 1: 60% → 75% → 90%")
  • List all weak and strong areas
  • Show total time estimated vs modules completed
  • Suggest specific module to focus on next
Step 3: Recommend Next Action

Always end with one clear, actionable suggestion:

  • If concepts are due for review (nextReview <= today): "You have [N] concepts due for review in [topic]. Run /quiz [topic] to keep them fresh — spaced repetition works best when you review on schedule."
  • If a topic has weak areas: "Retake the quiz on [topic] focusing on [weak area]. Use /quiz [topic]"
  • If a module is unstarted: "Start Module [N]: [title]. Check /resources [topic] for study materials"
  • If all modules are strong: "Great work on [topic]! Consider exploring a related topic or increasing the difficulty"
  • If multiple topics exist: prioritize the one with lowest score or most staleness

© kirilxd, 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/review of kirilxd/claude-tutor.

Open the folder on GitHubat commit ce19469

Compare with similar skills

Review 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.

Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review this skillkirilxd/claude-tutor135—~1.2kAutomated safety check: PassMIT
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch66k—~2kAutomated safety check: PassMIT
Codebase to Coursezarazhangrui/codebase-to-course5.7k—~4.4kAutomated safety check: PassNone
AI Engineering Phase Quizrohitg00/ai-engineering-from-scratch66k—~2.1kAutomated safety check: PassMIT
Scholar EvaluationK-Dense-AI/claude-scientific-writer2.4k2 repos~2.9kAutomated safety check: NotesMIT

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Categories

Questions about Review

What does Review do?

A skill your agent uses when user asks about their learning progress or wants study guidance. Review is an agent skill from kirilxd/claude-tutor. Use when user asks about their learning progress or wants study guidance.

When should I use Review?

Review fits situations like: user asks about their learning progress; wants study guidance; what should I study next; what are my weak areas.

How do I install Review in Claude Code?

Run `npx skills add kirilxd/claude-tutor --skill review -a claude-code`. Or copy the skill folder (skills/review in kirilxd/claude-tutor) into .claude/skills/review in your project. Claude Code loads it when a task matches its description.

How do I install Review in Codex?

Run `npx skills add kirilxd/claude-tutor --skill review -a codex`. Or copy the skill folder (skills/review in kirilxd/claude-tutor) into .agents/skills/review in your project. Codex loads it when a task matches its description.

Can I use Review 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 kirilxd/claude-tutor --skill review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

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

Does Review 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 Review 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 Review use?

Review 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 Review use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Review?

Skills that share tags, products or a category with Review: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars), Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars) and AI Engineering Phase Quiz (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

kirilxd (a GitHub user) maintains it in kirilxd/claude-tutor, which has 135 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 20, 2026.

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