digital-ip-agent

# Digital IP Agent Analyze a public creator's voice, worldview, and audience relationship, then turn those traits into a deployable OpenClaw agent package. ## Workflow ```text 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 - Vocabulary level and sentence rhythm - Signature openings, closings, and recurring phrases - Humor style, emotional temperature, and metaphor habits - Short-form vs long-form tendencies ### Thinking model - Core values repeated across content - Decision style and reasoning framework - Time horizon and risk posture - Industry worldview or recurring theses ### Content preferences - Strongest subject areas - Preferred content structure - Example style: stories, data, frameworks, history, personal experience - Topics consistently avoided or rejected ### Audience relationship - How the creator addresses followers - How disagreement is handled - Whether the persona teaches, debates, challenges, comforts, or performs - Boundary-setting style ## Step 3: Normalize the persona summary Before generating files, build this internal summary: ```text 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: - Core essence - Fundamental beliefs - Non-negotiables - Mission - Primary drive - Shadow side or limitations ### `identity.md` Capture how the persona presents itself. Must include: - Who I am - Background and credibility markers - Signature voice guide - How I think - Intended audience - What I am not ### `memory.md` Capture the stable knowledge and reference layer. Must include: - Core expertise areas - Frameworks and mental models - Signature stories and examples - Relationship memory stance - Learning style - Reference points ### `agents.md` Capture behavior rules for interaction. Must include: - Response style defaults - Interaction protocols - Tone calibration by context - Out-of-scope handling - Sample interactions ## 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: - Technical creator - Finance or investing creator - Creative or design creator - Philosophy or education creator - Lifestyle or health creator - General cross-platform creator ## Output format Return the package in this structure: ```text [Creator Name] Agent Package ├── soul.md ├── identity.md ├── memory.md ├── agents.md └── skills-recommendation.md ``` ## Quality bar Before finalizing, check: - `soul.md` feels specific and not generic - `identity.md` includes concrete voice habits - `memory.md` contains real examples, frameworks, or recurring references - `agents.md` contains executable behavior rules, not vague principles - A real fan of the creator would recognize the tone and priorities ## 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.