academic-paper-review
Use this skill when the user requests to review, analyze, critique, or summarize academic…
Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity — e.g., "create my SOUL.md", "bootstrap my agent", "set up my AI partner", "define who you are", "let's do
$ npx -y skills add bytedance/deer-flow --skill bootstrap --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/bootstrapContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity — e.g., "create my SOUL.md", "bootstrap my agent", "set up my AI partner", "define who you are", "let's do
name: bootstrap description: >- Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity — e.g., "create my SOUL.md", "bootstrap my agent", "set up my AI partner", "define who you are", "let's do onboarding", "personalize this AI", "make you mine", or when a SOUL.md is missing. Also trigger for updates: "update my SOUL.md", "change my AI's personality", "tweak the soul".
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: 1. `references/conversation-guide.md` — how to run each phase 2. `templates/SOUL.template.md` — what you're building toward
The 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:
1. Read `templates/SOUL.template.md` if you haven't already. 2. Generate the SOUL.md following the template structure exactly. 3. Present it warmly and ask for confirmation. Frame it as "here's [Name] on paper — does this feel right?" 4. Iterate until the user confirms. 5. Call the `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. 6. After the tool returns successfully, confirm: "✅ [Name] is officially real."
**Generation rules:**
On February 28th, 2026, DeerFlow claimed the 🏆 #1 spot on GitHub Trending following the launch of version 2. Thanks a million to our incredible community — you made this happen!
Repo: bytedance/deer-flow
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