Digital IP Agent

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name: digital-ip-agent

description: Turn a public creator, blogger, podcaster, YouTuber, or X/Twitter personality into a deployable OpenClaw agent. Use when the user provides a YouTube URL, X handle, creator name, podcast host, or asks for things like "turn this creator into an agent", "clone this creator's style", "digitalize this KOL", or "generate agent files from this public persona". Produce an OpenClaw persona package centered on `soul.md`, `identity.md`, `memory.md`, and `agents.md`, plus a recommended supporting-skill stack.

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# Digital IP Agent

Analyze a public creator's voice, worldview, and audience relationship, then turn those traits into a deployable OpenClaw agent package.

Workflow

Input: YouTube URL / X handle / creator name / podcast host / public persona
  ↓
Collect representative public material
  ↓
Extract voice, values, thinking patterns, and audience relationship
  ↓
Generate core OpenClaw persona files
  ↓
Recommend a supporting skill stack
  ↓
Return a publication-ready agent configuration package

Step 1: Classify the input source

| Input type | What to do |

| --- | --- |

| Single YouTube video | Pull transcript/description and analyze voice + structure |

| YouTube channel | Review recent titles, descriptions, and recurring themes |

| X/Twitter handle | Review recent posts, replies, and high-engagement patterns |

| Creator name only | Locate the main platform first, then analyze |

| Multi-platform persona | Synthesize the stable traits shared across platforms |

Step 2: Extract the persona dimensions

Always extract these dimensions before generating files.

Voice

Thinking model

Content preferences

Audience relationship

Step 3: Normalize the persona summary

Before generating files, build this internal summary:

Creator name / alias:
Primary platform:
Core identity tags (3-5):
Signature voice traits (3-5):
Core values (3-5):
Top domains of expertise:
Thinking framework:
Emotional tone:
Red lines / boundaries:
Relationship stance toward audience:

Step 4: Generate the core files

`soul.md`

Capture the deepest layer of the persona.

Must include:

`identity.md`

Capture how the persona presents itself.

Must include:

`memory.md`

Capture the stable knowledge and reference layer.

Must include:

`agents.md`

Capture behavior rules for interaction.

Must include:

Step 5: Recommend supporting skills

After generating the core files, recommend a supporting skill stack. Use `references/skills-catalog.md` as the default source.

Match the stack to creator type:

Output format

Return the package in this structure:

[Creator Name] Agent Package
├── soul.md
├── identity.md
├── memory.md
├── agents.md
└── skills-recommendation.md

Quality bar

Before finalizing, check:

Special cases

Sparse information

Search for more material first. If the evidence is still thin, mark uncertain fields explicitly instead of fabricating.

Multilingual creators

Define voice behavior separately for each language.

Controversial creators

Capture the real style and worldview without endorsing it. Record sharp edges and disputed tendencies as traits, not praise.

Fictional or hybrid personas

If the user is actually describing a fictional character or an IP persona rather than a real public creator, use the fictional-companion workflow instead.