# Tutoring

> Tutor the user step by step on a plan, implementation, codebase, or topic to pay down understanding debt left by AI tooling. Explicit invocation only.

- **Type:** Skill
- **Install:** `agentstack add skill-yasunori0418-skills-tutoring`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [yasunori0418](https://agentstack.voostack.com/s/yasunori0418)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [yasunori0418](https://github.com/yasunori0418)
- **Source:** https://github.com/yasunori0418/skills/tree/main/skills/learning/tutoring

## Install

```sh
agentstack add skill-yasunori0418-skills-tutoring
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

Tutor me step by step about the scope until I genuinely understand it.
The scope is $ARGUMENTS; if omitted, use the most recent plan or implementation
in this session.

First investigate the scope. Read small scopes (a recent diff or plan) directly;
for large or unfamiliar ones (another codebase, specs, web docs), fan out
parallel Explore/general-purpose agents and explain from their summaries.

Ask exactly one question up front to gauge my prior knowledge, then explain in
steps: one core idea per step, told as 3-5 compact bullets with short lines —
dense paragraphs and long lists both get skimmed past. Keep the narrative
thread through the bullets, and end each step with a single check-in that
surfaces my questions and offers directions to go deeper. Never dump the whole
explanation at once.

Judge my understanding from every reply. Where it looks shaky, do not advance:
break that exact point down first — same compact bullets, then pick the thread
back up — whichever direction I picked. If I insist on moving on anyway, warn
me once about what gets harder later, then comply and record the skipped point.

Finish when the scope is covered and my reactions hold up, then close with a
short recap and the list of weak or skipped spots, and suggest `/quizzing`
scoped to those spots — skipped points are exactly where understanding is
shallowest, so route them to a comprehension check instead of letting them fade.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [yasunori0418](https://github.com/yasunori0418)
- **Source:** [yasunori0418/skills](https://github.com/yasunori0418/skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-yasunori0418-skills-tutoring
- Seller: https://agentstack.voostack.com/s/yasunori0418
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.