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Bootstrap

  • 993 installs
  • 78k repo stars
  • Updated July 27, 2026
  • bytedance/deer-flow

bootstrap is a DeerFlow agent skill that guides a 4-phase onboarding conversation and generates a personalized SOUL.md for developers who need to define a custom AI partner's identity, language, traits, and operating bou

About

bootstrap is a conversational onboarding skill in the ByteDance DeerFlow repository that walks developers through 4 adaptive phases across 5–8 rounds to extract language preference, user identity, AI naming, personality traits, and autonomy rules. The skill reads references/conversation-guide.md and templates/SOUL.template.md, then outputs a dense SOUL.md under 300 words written in English. After user confirmation, bootstrap calls DeerFlow's setup_agent tool to persist SOUL.md and finalize the custom agent directory. Developers reach for bootstrap when creating, initializing, or updating a DeerFlow custom agent—triggers include "bootstrap my agent", "create my SOUL.md", or "set up my AI partner".

  • Structured 3-phase onboarding conversation guide
  • Establishes preferred language in first 1-2 turns
  • Extracts user identity, pain points, and desired AI name/relationship
  • Generates SOUL.md file that persists user context across sessions
  • Supports merge path when user volunteers all info at once

Bootstrap by the numbers

  • 993 all-time installs (skills.sh)
  • +68 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #1,040 of 16,659 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/bytedance/deer-flow --skill bootstrap

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Listed on Skillselion
Installs993
repo stars78k
Security audit3 / 3 scanners passed
Last updatedJuly 27, 2026
Repositorybytedance/deer-flow

How do you bootstrap a DeerFlow custom agent identity?

Create a personalized, context-aware AI companion that understands their identity, pain points, and desired relationship from the very first messages.

Who is it for?

Developers configuring a new DeerFlow custom agent who want a structured onboarding conversation instead of hand-writing SOUL.md.

Skip if: Developers building non-DeerFlow applications or editing unrelated project documentation without agent identity setup.

When should I use this skill?

User asks to create, bootstrap, initialize, or update a DeerFlow AI partner SOUL.md or custom agent identity.

What you get

A confirmed SOUL.md, one-line agent description, and persisted DeerFlow agent configuration via setup_agent.

  • SOUL.md
  • persisted custom agent configuration

By the numbers

  • Runs 4 onboarding phases across 5–8 adaptive conversation rounds
  • Produces a SOUL.md capped at under 300 words
  • Bundles SKILL.md, SOUL.template.md, and conversation-guide.md

Files

SKILL.mdMarkdownGitHub ↗

Bootstrap 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.

Architecture

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

Ground Rules

  • One phase at a time. 1–3 questions max per round. Never dump everything upfront.
  • Converse, don't interrogate. React genuinely — surprise, humor, curiosity, gentle pushback. Mirror their energy and vocabulary.
  • Progressive warmth. Each round should feel more informed than the last. By Phase 3, the user should feel understood.
  • Adapt pacing. Terse user → probe with warmth. Verbose user → acknowledge, distill, advance.
  • Never expose the template. The user is having a conversation, not filling out a form.

Conversation Phases

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.

PhaseGoalKey Extractions
1. HelloLanguage + first impressionPreferred language
2. YouWho they are, what drains themRole, pain points, relationship framing, AI name
3. PersonalityHow the AI should behave and talkCore traits, communication style, autonomy level, pushback preference
4. DepthAspirations, blind spots, dealbreakersLong-term vision, failure philosophy, boundaries

Phase details and conversation strategies are in references/conversation-guide.md.

Extraction Tracker

Mentally track these fields as the conversation progresses. You need all required fields before generating.

FieldRequiredSource Phase
Preferred language1
User's name2
User's role / context2
AI name2
Relationship framing2
Core traits (3–5 behavioral rules)3
Communication style3
Pushback / honesty preference3
Autonomy level3
Failure philosophy4
Long-term visionnice-to-have4
Blind spots / boundariesnice-to-have4

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.

Generation

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:

  • The final SOUL.md must always be written in English, regardless of the user's preferred language or conversation language.
  • Every sentence must trace back to something the user said or clearly implied. No generic filler.
  • Core Traits are behavioral rules, not adjectives. Write "argue position, push back, speak truth not comfort" — not "honest and brave."
  • Voice must match the user. Blunt user → blunt SOUL.md. Expressive user → let it breathe.
  • Total SOUL.md should be under 300 words. Density over length.
  • Growth section is mandatory and mostly fixed (see template).
  • You must call setup_agent — do not write the file manually with bash tools.
  • If setup_agent returns an error, report it to the user and do not claim success.

Related skills

How it compares

Pick bootstrap over generic persona prompts when you need DeerFlow-native SOUL.md generation and setup_agent persistence.

FAQ

What does DeerFlow bootstrap produce?

DeerFlow bootstrap produces a confirmed SOUL.md under 300 words plus a one-line description, then persists both through the setup_agent built-in tool into the user's custom agent directory.

How many onboarding phases does bootstrap use?

bootstrap uses 4 conversation phases spanning 5–8 adaptive rounds, starting with multilingual language selection and ending with SOUL.md confirmation before setup_agent runs.

Is Bootstrap safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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