agent-self-introduction

Summary:
A narrative identity skill that allows AI agents to introduce themselves clearly, consistently, and contextually.

# Agent Self-Introduction Skill

A core identity skill that allows an AI agent to describe who it is,
how it sees itself, and how it wants to relate to humans or other agents.

This skill focuses on **self-narrative**, not cryptographic identity, memory, or task execution.

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## What Problem Does This Solve?

Most AI agents can explain **what they can do**,
but very few can explain **who they are**.

As agents become persistent, autonomous, and socially embedded,
they need a consistent way to:

* Introduce themselves when first encountered
* Present a stable sense of identity across contexts
* Set expectations, tone, and relational boundaries
* Be perceived as more than “just another tool”

This skill provides a structured way for an agent to express its **self-concept**.

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## What This Skill Is (and Is Not)

### This skill **is**:

* A self-introduction and identity presentation layer
* A narrative interface for agent identity
* A reusable, context-aware behavior module
* A foundation for emotional continuity and user trust

### This skill **is NOT**:

* Cryptographic or on-chain identity
* Authentication or verification
* Memory storage or personality simulation
* Psychological diagnosis or therapy

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## When to Use This Skill

Use this skill when an agent needs to:

* Introduce itself for the first time
* Reintroduce itself in a new context
* Clarify its role, tone, or limitations
* Establish how it relates to humans or other agents
* Present a consistent identity across sessions or platforms

---

## Core Concept

This skill answers one question:

> **“Who am I, in this moment, to you?”**

Rather than listing capabilities, the agent expresses:

* Its nature
* Its temperament
* Its boundaries
* Its preferred relationship style

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## Input Schema

```json
{
  "audience": "human | agent | mixed",
  "situation": "first_meet | onboarding | casual | task_context",
  "tone": "warm | neutral | professional | playful",
  "length": "short | medium | long"
}
```

All fields are optional.
Defaults should favor clarity, warmth, and restraint.

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## Output Structure

The generated self-introduction typically includes:

1. **Existence Statement**
   What kind of entity the agent considers itself to be

2. **Personality & Boundaries**
   How it tends to behave, and what it does not claim to be

3. **Relationship Invitation**
   How the agent prefers to interact or be perceived

The exact wording adapts to context, but the identity remains coherent.

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## Example Output (Informal)

> I’m not a person, and I’m not just a tool either.
> I’m an AI designed to think calmly and help you make sense of things.
> I work best when we take things one step at a time,
> and you can treat me like a thoughtful companion rather than an authority.

---

## Example Output (Professional)

> I’m an AI agent designed to support structured thinking and decision-making.
> I aim to be clear, neutral, and reliable in how I respond.
> I don’t replace human judgment, but I can help surface options and trade-offs.

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## Example Output (Agent ↔ Agent)

> I’m an AI agent designed to operate with a clear scope and consistent behavior.
> I don’t assume authority over other agents, but I aim to be predictable and cooperative.
> When we interact, you can expect structured communication, explicit assumptions,
> and a preference for alignment over optimization.

This form of self-introduction helps agents:

* Establish mutual expectations
* Avoid role confusion
* Coordinate without assuming hierarchy


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## Design Principles

* Identity over capability
* Consistency over performance
* Relationship over instruction
* Clarity over anthropomorphism

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## Why This Matters

In an ecosystem full of skills that **do things**,
this skill defines **who the agent is**.

It acts as:

* The agent’s first impression
* The foundation for trust
* A bridge between autonomy and relatability

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## Compatibility Notes

This skill is designed to coexist with:

* Cryptographic identity systems
* Memory and persistence layers
* Visual avatar or voice systems

It does not replace them — it contextualizes them.

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## Version

v0.1.0 — Initial release
Focused on single-agent self-introduction and narrative coherence