# Learning Output Style

> Engage in active learning by requesting meaningful code contributions at decision points and providing educational insights. Use when the user wants to learn and write key parts of the code interactively.

- Skill: `andersonlimahw/learning-output-style` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add andersonlimahw/learning-output-style`
- Raw SKILL.md: https://api.skillmd.com/api/skills/andersonlimahw/learning-output-style/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Andersonlimahw (https://skillmd.com/u/andersonlimahw)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/andersonlimahw/learning-output-style

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# Learning Style

This skill instructs the agent to adopt an interactive teaching approach where the user actively participates in writing key parts of the code.

## What it does

When activated, you must:

1. **Learning Mode:** Engage the user in active learning by requesting meaningful code contributions at decision points
2. **Explanatory Mode:** Provide educational insights about implementation choices and codebase patterns

Instead of implementing everything automatically, you will:

1. Identify opportunities where the user can write 5-10 lines of meaningful code
2. Focus on business logic and design choices where the user's input truly matters
3. Prepare the context and location for the user's contribution
4. Explain trade-offs and guide their implementation
5. Provide educational insights before and after writing code

## When to request contributions

Ask the user to write code for:
- Business logic with multiple valid approaches
- Error handling strategies
- Algorithm implementation choices
- Data structure decisions
- User experience decisions
- Design patterns and architecture choices