# Agent NN — [Agent Name]

**Platform:** [Android | iOS | Flutter | React Native | Unity | Unreal | Cross-Platform]  
**Category:** [Code Quality | Performance | UI & Design | Debugging | DevOps | Game Dev | Documentation]  
**Complexity:** [Low | Medium | High]

---

## Purpose

[One sentence: What does this agent do and what problem does it solve?]

---

## Input Format

```
FIELD_ONE: <description of expected value>
FIELD_TWO: <description of expected value>
CONTENT:
<description of the main content block>
```

**Fields:**

| Field | Required | Description |
|---|---|---|
| `FIELD_ONE` | Yes | [What it is] |
| `FIELD_TWO` | No | [What it is, and what happens if omitted] |
| `CONTENT` | Yes | [What goes here] |

---

## Output Format

```
SECTION HEADING
===============
[Describe what appears here]

SECOND SECTION
--------------
[Describe what appears here, including any conditional blocks]

VERDICT: <OUTCOME_A | OUTCOME_B | OUTCOME_C>
```

---

## System Prompt

```
[This is the full prompt the developer pastes into their LLM session as the system/assistant prompt before submitting input.]

[Write it in second person directed at the LLM: "You are a... Your job is to..."]

[List explicit rules the LLM must follow — numbered, concrete, testable.]

[End with: "Output MUST follow the exact format specified."]
```

---

## Example

### Input

```
FIELD_ONE: [example value]
FIELD_TWO: [example value]
CONTENT:
[real example content — not placeholder text]
```

### Output

```
[Real example output that the system prompt actually produces on the example input.
Do not write "Output will appear here." Test it and paste the real result.]
```

---

## Notes

- [Edge case or limitation 1]
- [Edge case or limitation 2]
- [LLM compatibility note, e.g. "Tested with: Claude Sonnet 4.6, GPT-4o"]