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Bootstrap

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bytedance
bootstrap

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".

Overview

Publisherbytedance
Repositorydeer-flow
Skill namebootstrap
Stars
82.6K
Forks
11.4K
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bytedance on GitHub. Read the source before you install it.

Installation

Install the Bootstrap AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bytedance/deer-flow.git /tmp/deer-flow
mkdir -p .claude/skills
cp -r /tmp/deer-flow/skills/public/bootstrap .claude/skills/bootstrap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bootstrap in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bootstrap on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bootstrap is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bootstrap AI skill do?

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".

Why use Bootstrap on TypingMind?

Because you install it once and use it with any model. Bootstrap is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bootstrap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bytedance/deer-flow/tree/main/skills/public/bootstrap. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bootstrap?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bootstrap?

As many as you like. As long as a model supports skills, you can use Bootstrap with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bootstrap AI skill free?

Yes. It is published on GitHub by bytedance under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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