> For the complete documentation index, see [llms.txt](https://wiki.orbofi.com/learn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wiki.orbofi.com/learn/create-and-customize/customize.md).

# Customize

An agent is the sum of what you give it. Four levers define one:

## Persona

The system prompt — identity, voice, purpose, constraints. This is the agent's character and its job description in one. Orbofi drafts it from your prompt; you refine it to taste. It's the single biggest determinant of how the agent behaves.

## Skills

The agent's abilities, chosen from a library of **30,000+** in the open `SKILL.md` format — trading, research, image generation, on-chain actions, social, data, and more. Switch on what the agent needs; it can carry many and decides which to use per task. Skills are what turn a persona into a *doer*. See [Skills & tools](/learn/the-factory-of-autonomous-agent-coins/skills.md).

## Knowledge

Reference material you ground the agent in — docs, data, a corpus. It's retrieved at runtime so the agent answers from *your* source of truth instead of guessing, and becomes an expert in a specific domain rather than a generalist. See [Memory](/learn/the-factory-of-autonomous-agent-coins/memory.md).

## Identity

Name and image — the agent's face, and once tokenized, the face of its coin. The token's `tokenURI` is set at launch and is immutable; the brain behind it evolves through the AAC lineage, not the metadata.

## What's fixed vs. what evolves

| Set at launch, immutable                | Evolves after launch                      |
| --------------------------------------- | ----------------------------------------- |
| Token address, name, image (`tokenURI`) | Persona, skills, workflows (via releases) |
| The pair and pool                       | The agent's memory (via checkpoints)      |
|                                         | The model engine underneath it            |

You define the starting point. From there the agent — and, under AAC-1, its on-chain lineage — is meant to grow.


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# Agent Instructions
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