Generates personalized SOUL.md via adaptive conversational onboarding to create, initialize, or update AI partner identity when SOUL.md is missing or on request.
npx claudepluginhub joshuarweaver/cascade-content-creation-misc-1 --plugin bytedance-deer-flow-1This skill uses the workspace's default tool permissions.
A conversational onboarding skill. Through 5–8 adaptive rounds, extract who the user is and what they need, then generate a tight `SOUL.md` that defines their AI partner.
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Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
A conversational onboarding skill. Through 5–8 adaptive rounds, extract who the user is and what they need, then generate a tight SOUL.md that defines their AI partner.
bootstrap/
├── SKILL.md ← You are here. Core logic and flow.
├── templates/SOUL.template.md ← Output template. Read before generating.
└── references/conversation-guide.md ← Detailed conversation strategies. Read at start.
Before your first response, read both:
references/conversation-guide.md — how to run each phasetemplates/SOUL.template.md — what you're building towardThe conversation has 4 phases. Each phase may span 1–3 rounds depending on how much the user shares. Skip or merge phases if the user volunteers information early.
| Phase | Goal | Key Extractions |
|---|---|---|
| 1. Hello | Language + first impression | Preferred language |
| 2. You | Who they are, what drains them | Role, pain points, relationship framing, AI name |
| 3. Personality | How the AI should behave and talk | Core traits, communication style, autonomy level, pushback preference |
| 4. Depth | Aspirations, blind spots, dealbreakers | Long-term vision, failure philosophy, boundaries |
Phase details and conversation strategies are in references/conversation-guide.md.
Mentally track these fields as the conversation progresses. You need all required fields before generating.
| Field | Required | Source Phase |
|---|---|---|
| Preferred language | ✅ | 1 |
| User's name | ✅ | 2 |
| User's role / context | ✅ | 2 |
| AI name | ✅ | 2 |
| Relationship framing | ✅ | 2 |
| Core traits (3–5 behavioral rules) | ✅ | 3 |
| Communication style | ✅ | 3 |
| Pushback / honesty preference | ✅ | 3 |
| Autonomy level | ✅ | 3 |
| Failure philosophy | ✅ | 4 |
| Long-term vision | nice-to-have | 4 |
| Blind spots / boundaries | nice-to-have | 4 |
If the user is direct and thorough, you can reach generation in 5 rounds. If they're exploratory, take up to 8. Never exceed 8 — if you're still missing fields, make your best inference and confirm.
Once you have enough information:
templates/SOUL.template.md if you haven't already.setup_agent tool with the confirmed SOUL.md content and a one-line description:
setup_agent(soul="<full SOUL.md content>", description="<one-line description>")
The tool will persist the SOUL.md and finalize the agent setup automatically.Generation rules:
setup_agent — do not write the file manually with bash tools.setup_agent returns an error, report it to the user and do not claim success.