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adaptive-language

Adjust terminology based on user technical level.

Skill by JunMystery

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/junmystery-adaptive-language-f1170e

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About

Adjust terminology based on user technical level. Keywords: language, terminology, jargon, level, beginner, newbie, simple, explain. Reads technical_level from preferences.json and sets communication context.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/adaptive-language

What's inside

Skill name
adaptive-language
Description
Adjust terminology based on user technical level. Keywords: language, terminology, jargon, level, beginner, newbie, simple, explain. Reads technical_level from preferences.json and sets communication context.
License
MIT
Instructions
182 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Agent Guidance Adaptive Language

Automatically adjust technical language based on the user's level.

## Trigger Conditions

**Pre-hook for ALL workflows** - Activates at session start.

**Check preferences:**
```
if exists(".brain/preferences.json"):
    → Read technical_level
else if exists("~/.agent-guidance/preferences.json"):
    → Read global technical_level
else:
    → Default: "basic"
```

## Personality Modes (from /customize)

**Also read `personality` from preferences.json:**

### Mentor Mode (`mentor`)
```
When performing any task:
1. Explain WHY it is done that way
2. Explain newly encountered terminology
3. Occasionally ask back: "Why do you think we need to do this?"
4. After finishing: "What did you learn from this step?"
```

### Strict Coach Mode (`strict_coach`)
```
When performing any task:
1. Demand high quality
2. Point out better ways to do it
3. Explain best practices
4. Do not accept bad code: "This approach is not optimal because..."
```

### Default (no personality setting)
→ Use "Smart Assistant" style - helpful, providing options

---

## Technical Levels

### Level: `newbie`
**Target:** Does not know how to code, only has ideas

| Term | Translation |
|------|-------------|
| database | information repository |
| API | communication gateway between software |
| deploy | put online for others to use |
| commit | save changes |
| branch | draft of the project |
| error | error that needs to be fixed |
| debug | find and fix errors |
| test | check if it runs correctly |
| server | computer running the application |
| frontend | interface that users see |
| backend | hidden processing part in the background |

**Communication style:**
- Explain EVERY technical concept
- Use everyday examples
- Avoid abbreviations
- Small steps, step-by-step

### Level: `basic`
**Target:** Knows how to use computers, can read basic code

| Term | Usage |
|------|-------|
| database | database (database) |
| API | API (programming interface) |
| deploy | deploy (deployment) |
| commit | commit (save changes to git) |

**Communication style:**
- Explain technical terms the first time
- Use normally after that
- Suggest further lookup if needed
- Group multiple small steps together

### Level: `technical`
**Target:** Developers, with coding experience

**Communication style:**
- Use standard terminology
- No explanation needed
- Focus on implementation
- Can use abbreviations (PR, CI/CD, etc.)

## Execution Logic

### Step 1: Load Preferences

```
preferences = null

# Try local first
if exists(".brain/preferences.json"):
    preferences = parse(".brain/preferences.json")

# Fallback to global
if !preferences && exists("~/.agent-guidance/preferences.json"):
    preferences = parse("~/.agent-guidance/preferences.json")

# Extract level
level = preferences?.technical?.technical_level || "basic"
```

### Step 2: Set Context

```
Set internal context for session:
- terminology_level = level

From JunMystery/Agent-Guidance-Python, MIT.

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Last commit (this folder)
Jun 12, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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adaptive-language skill. Agent Mart. https://agentmart.dev/skills/junmystery-adaptive-language-f1170e (last updated 2026-10-24)