Codex Skill Self-Assessment
FlorianBruniaux/claude-code-ultimate-guide
Runs an interactive quiz in a quick or comprehensive mode, scores your skill level by topic and generates a personalized learning path with practice projects.
A skill your agent uses when user wants to learn a topic or create a study plan.
$ npx skills add kirilxd/claude-tutor --skill learn -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kirilxd/claude-tutor learn --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/kirilxd/claude-tutor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/learn .claude/skills/learn && rm -rf skills-srcUse ~/.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/
Install the "learn" agent skill from https://github.com/kirilxd/claude-tutor/tree/main/skills/learn into .claude/skills/learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/kirilxd/claude-tutor/tree/main/skills/learnType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add kirilxd/claude-tutor --skill learn -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kirilxd/claude-tutor learn --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kirilxd/claude-tutor.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/learn .agents/skills/learn && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learn" agent skill from https://github.com/kirilxd/claude-tutor/tree/main/skills/learn into .agents/skills/learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kirilxd/claude-tutor --skill learn -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kirilxd/claude-tutor learn --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kirilxd/claude-tutor.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/learn .cursor/skills/learn && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "learn" agent skill from https://github.com/kirilxd/claude-tutor/tree/main/skills/learn into .cursor/skills/learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/kirilxd/claude-tutor.git --path skills/learn--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add kirilxd/claude-tutor --skill learn -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kirilxd/claude-tutor learn --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kirilxd/claude-tutor.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/learn .gemini/skills/learn && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "learn" agent skill from https://github.com/kirilxd/claude-tutor/tree/main/skills/learn into .gemini/skills/learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install kirilxd/claude-tutor learnInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add kirilxd/claude-tutor --skill learn -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kirilxd/claude-tutor.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/learn .github/skills/learn && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "learn" agent skill from https://github.com/kirilxd/claude-tutor/tree/main/skills/learn into .github/skills/learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kirilxd/claude-tutor --skill learn -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kirilxd/claude-tutor learn --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kirilxd/claude-tutor.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/learn .opencode/skills/learn && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "learn" agent skill from https://github.com/kirilxd/claude-tutor/tree/main/skills/learn into .opencode/skills/learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
learnA skill your agent uses when user wants to learn a topic or create a study plan.
Learn is an agent skill from kirilxd/claude-tutor. Use when user wants to learn a topic or create a study plan. Triggers on "teach me", "I want to learn", "explain X to me", "study", "help me understand", "where do I start with", "how do I get into", or any request to understand a subject in depth. Covers both technical topics (programming, system design, DevOps) and general knowledge (history, science, languages, music theory). Also use when someone asks for a "learning path", "roadmap", or "curriculum" for a topic — even if they don't explicitly say "learn".
Its SKILL.md is about 3.6k 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 Curriculum and course design and Tutoring and explanations. 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.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ce19469. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Learn loads about 3.6k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 1,681 words of instructions outside code blocks.
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.
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.
The full file from kirilxd/claude-tutor at commit ce19469, republished under its MIT licence (© kirilxd). 1,681 words, ~3,587 tokens.
.claude/skills/learn/SKILL.md (or your agent's skills folder).Guide the user from a vague "I want to learn X" into a structured, researched learning plan with curated resources. Ask clarifying questions, research the topic, and produce a module-by-module plan saved to disk.
The learning system uses three separate directories. Each directory has ONE purpose:
| Directory | Stores | Allowed fields |
|---|---|---|
~/.claude/learning/plans/ | Learning plans ONLY | topic, slug, created, level, goal, depth, timeCommitment, modules, totalEstimatedTime, diagnostic |
~/.claude/learning/progress/ | Quiz progress ONLY | topic, quizzes, weakAreas, strongAreas, overallScore, spacedRepetition |
~/.claude/learning/ (root) | index.json + profile.json ONLY | topics (index), learningStyle/background/createdTopics (profile) |
CORRECT — saving a learning plan: ~/.claude/learning/plans/dns-2026-03-29.json
WRONG — saving a learning plan: ~/.claude/learning/progress/dns.json
CORRECT — saving quiz progress: ~/.claude/learning/progress/dns.json
WRONG — saving quiz progress: ~/.claude/learning/plans/dns-2026-03-29.json
CORRECT — saving any learning data: ~/.claude/learning/plans/dns-2026-03-29.json
WRONG — saving to project directory: ./learning/plans/dns-2026-03-29.json
Always use the ABSOLUTE path ~/.claude/learning/ — never a relative path like ./learning/.
Never add quiz fields (quizzes, weakAreas, strongAreas, spacedRepetition, overallScore) to plan files.
Never add plan fields (modules, resources, goal, depth, timeCommitment) to progress files.
Verify the path is correct BEFORE writing.
Before starting a new plan, check if this topic already exists.
Read ~/.claude/learning/index.json and look for a matching topic (fuzzy match same as quiz skill: "k8s" → "kubernetes").
If the topic exists:
── Resuming: [Topic] ────────────────────
Level: [level] | Modules: [completed]/[total] | Score: [score]%
Last activity: [date]
──────────────────────────────────────────If the topic is new: proceed to Phase 0 (profile) and Phase 1 (scope).
Read ~/.claude/learning/profile.json if it exists.
If profile exists:
If no profile exists (first time):
~/.claude/learning/profile.json (create directory if needed):learningStyle: the user's choice (e.g., "hands-on")background: extracted from level + goal answerscreatedTopics: array with the current topic slugIf profile exists and this is a new topic:
createdTopics arrayALWAYS 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.
Ask 2-5 clarifying questions, skipping any already answered by the user's initial message.
Rules:
Question 1 — Current level:
Ask "What's your current experience with [topic]?" with options:
Question 2 — Learning goal:
Ask "What do you want to be able to do after learning [topic]?" with 3 topic-specific goal options. Each option needs a label and a description.
Question 3 — Depth (optional):
Ask "How deep do you want to go?" with options:
Question 4 — Focus areas (optional):
Ask which areas to focus on. Allow selecting multiple from 2-4 topic-specific subtopics, each with a label and description.
Question 5 — Time commitment (optional):
Ask "How much time do you want to invest?" with options:
If no learner profile exists, also ask "How do you prefer to learn?" with options:
Skip this phase if the user said they have "no experience" or are a "complete beginner."
For users with some background, generate a 5-question diagnostic quiz to calibrate their actual level. This prevents wasting time on material they already know.
How to run the diagnostic:
Generate 5 multiple choice questions testing foundational concepts at increasing difficulty. Ask ONE question per message — wait for the answer before the next.
Each question should have 4 options with descriptions. Label them "Diagnostic Q1/5" through "Q5/5".
After the diagnostic, note which level the user actually tested at:
Store the diagnostic results in the plan JSON by adding a diagnostic field:
{
"diagnostic": {
"taken": true,
"score": 3,
"total": 5,
"calibratedLevel": "intermediate",
"skipModules": []
}
}Use these results in Phase 3 (Generate Learning Plan) to mark introductory modules as "skippable" or compress them into a quick review.
Perform 3-5 web searches with varied queries:
"[topic] learning roadmap [year]" — find structured learning paths"best [topic] tutorial for [level]" — find recommended resources"[topic] official documentation" — find authoritative sources"[topic] [specific subtopic] guide" — drill into focus areas"[topic] common mistakes beginners" — anticipate pitfallsFor each search:
Synthesize the research into a coherent structure. Don't just list links — understand what the community recommends and why.
Create a structured plan with modules. Present it to the user in readable markdown:
## Learning Plan: [Topic]
**Level:** [beginner/intermediate/advanced]
**Goal:** [user's goal]
**Estimated time:** [total]
### Module 1: [Title]
**Time:** [estimate]
**Objectives:**
- [what the user will understand/be able to do]
**Key concepts:** [list]
**Resources:**
- [resource with link and type]
### Module 2: [Title]
...Rules:
keyConcepts with at least 2 concept strings — the quiz system uses these to generate questions. A module with empty keyConcepts is broken.Ask the user: "Does this plan look good? Want to adjust anything — add, remove, or reorder modules?"
After user approves the plan:
~/.claude/learning/plans/{topic-slug}-{YYYY-MM-DD}.json/plans/ — NOT /progress/~/.claude/learning/plans/ if it doesn't exist (use Bash: mkdir -p)The JSON format:
{
"topic": "Topic Name",
"slug": "topic-name",
"created": "YYYY-MM-DD",
"level": "beginner|intermediate|advanced",
"goal": "user's stated goal",
"depth": "overview|working-knowledge|deep",
"timeCommitment": "a few hours|a weekend|a week|ongoing",
"modules": [
{
"id": 1,
"title": "Module Title",
"objectives": ["objective 1", "objective 2"],
"keyConcepts": ["concept1", "concept2"],
"estimatedTime": "2 hours",
"resources": [
{
"title": "Resource Name",
"url": "https://...",
"type": "docs|video|tutorial|book|course",
"free": true
}
]
}
],
"totalEstimatedTime": "15 hours"
}~/.claude/learning/index.json:{"topics":{}}{
"displayName": "Topic Name",
"planFile": "plans/topic-name-2026-03-01.json",
"progressFile": "progress/topic-name.json",
"created": "2026-03-01",
"lastActivity": "2026-03-01",
"level": "beginner",
"modulesCompleted": 0,
"modulesTotal": 5,
"quizzesTaken": 0,
"overallScore": null
}Update profile at ~/.claude/learning/profile.json:
{} if missing)learningStyle if determined in Phase 1background from the levelcreatedTopics array (if not already present)Confirm to the user: "Learning plan saved! You can now use /quiz [topic] to test your knowledge, or /resources [topic] to see all resources."
After saving the plan (or when resuming an existing topic), offer to teach the next incomplete module.
Ask: "Ready to start Module [N]: [title]? I can walk you through it now, or you can study on your own and come back for a quiz."
If the user wants to be taught:
Teach the module interactively. The goal is genuine understanding, not information dumping.
Teaching structure for each module:
Connect to prior knowledge — "In the last module you learned [X]. [Topic] builds on that by..." If this is Module 1 or you don't know the user's background, connect to general knowledge or the user's stated goals.
Explain core concepts — Cover each key concept from the module's keyConcepts list. For each concept:
Check understanding — After every 2-3 concepts, ask a quick multiple choice comprehension question. This isn't a quiz — it's a "does this make sense?" check. If the user gets it wrong, re-explain differently before moving on.
Reference resources — Point to specific resources from the module: "For a deeper dive on this, check out [Resource Title] — it covers [specific aspect]."
Summarize — At the end of the module, recap the 3-5 key takeaways.
Bridge to next — "Next up is Module [N+1]: [title], which builds on [concept] you just learned."
Suggest quiz — "Want to test what you've learned? Run /quiz [topic] (and mention the module you just covered) to check your understanding."
Teaching guidelines:
If the user declines teaching:
/quiz [topic] to test your knowledge."Convert topic to kebab-case for filenames: "Kubernetes Networking" → "kubernetes-networking", "Spanish Grammar" → "spanish-grammar". Use lowercase, replace spaces with hyphens, remove special characters.
© kirilxd, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/learn of kirilxd/claude-tutor.
Open the folder on GitHubat commit ce19469
Learn 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Learn this skillkirilxd/claude-tutor | 134 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Codex Skill Self-AssessmentFlorianBruniaux/claude-code-ultimate-guide | 6.1k | — | ~2.3k | Automated safety check: Pass | CC-BY-SA-4.0 | |
| Study Companion Enmingchen666/Reviva | 237 | — | ~5.7k | Automated safety check: Pass | None | |
| Agent Skills Learning Path Tutorrohitg00/ai-engineering-from-scratch | 66k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Learn Law With Rohasrohasnagpal/legal-ai-skills | 175 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Interactive Course BuilderXiaomiMiMo/MiMo-Code | 14k | — | ~2.9k | Automated safety check: Pass | MIT |
FlorianBruniaux/claude-code-ultimate-guide
Runs an interactive quiz in a quick or comprehensive mode, scores your skill level by topic and generates a personalized learning path with practice projects.
mingchen666/Reviva
General study companion for learning, review, exam prep, exam-point analysis, syllabus/exam-outline interpretation, finals speedrun teaching, concept explanation, problem solving, homework coaching…
rohitg00/ai-engineering-from-scratch
Interactive tutor that teaches one lesson per invocation on creating, discovering, invoking, securing, evaluating, packaging and porting Agent Skills, logging progress to a file.
rohasnagpal/legal-ai-skills
Acts as an interactive legal tutor for learning a law, legal subject, doctrine, judgment, procedure, or legal concept.
XiaomiMiMo/MiMo-Code
Turns a PDF, paper, document, URL or topic into a chapter-by-chapter course with exercises, feedback and review, and saves progress so you can resume later.
aiskilloftheweek/claude-ai-skill-of-the-week
Creates a comprehensive, structured learning plan to help the user master any skill quickly and effectively.
kirilxd/claude-tutor
A skill your agent uses when user wants to be tested or quizzed on any topic.
kirilxd/claude-tutor
A skill your agent uses when user asks for learning resources, recommendations, or materials on any topic.
kirilxd/claude-tutor
A skill your agent uses when user asks about their learning progress or wants study guidance.
kirilxd/claude-tutor
Use only when user explicitly asks to "open dashboard", "show dashboard", "launch dashboard", or "learning UI".
Categories
A skill your agent uses when user wants to learn a topic or create a study plan. Learn is an agent skill from kirilxd/claude-tutor. Use when user wants to learn a topic or create a study plan.
Learn fits situations like: user wants to learn a topic; create a study plan; I want to learn; explain X to me.
Run `npx skills add kirilxd/claude-tutor --skill learn -a claude-code`. Or copy the skill folder (skills/learn in kirilxd/claude-tutor) into .claude/skills/learn in your project. Claude Code loads it when a task matches its description.
Run `npx skills add kirilxd/claude-tutor --skill learn -a codex`. Or copy the skill folder (skills/learn in kirilxd/claude-tutor) into .agents/skills/learn in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kirilxd/claude-tutor --skill learn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learn, .gemini/skills/learn, .github/skills/learn and .opencode/skills/learn in your project.
SKILL.md names no scripts, command-line tools or credentials: Learn is instructions for the agent only.
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.
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.
Learn is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Learn: Codex Skill Self-Assessment (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars), Study Companion En (mingchen666/Reviva, 237 stars), Agent Skills Learning Path Tutor (rohitg00/ai-engineering-from-scratch, 66k stars) and Learn Law With Rohas (rohasnagpal/legal-ai-skills, 175 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
kirilxd (a GitHub user) maintains it in kirilxd/claude-tutor, which has 134 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.