Agent skill

bootstrap

Stars 60,742
Forks 7,765

Install this agent skill to your Project

npx add-skill https://github.com/bytedance/deer-flow/tree/main/skills/public/bootstrap

SKILL.md

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.

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.

Extraction Tracker

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.

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.

Expand your agent's capabilities with these related and highly-rated skills.

bytedance/deer-flow

smoke-test

60,742 7,765
Explore
bytedance/deer-flow

systematic-literature-review

Use this skill when the user wants a systematic literature review, survey, or synthesis across multiple academic papers on a topic. Also covers annotated bibliographies and cross-paper comparisons. Searches arXiv and outputs reports in APA, IEEE, or BibTeX format. Not for single-paper tasks — use academic-paper-review for reviewing one paper.

60,742 7,765
Explore
bytedance/deer-flow

academic-paper-review

Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".

60,742 7,765
Explore
bytedance/deer-flow

podcast-generation

Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.

60,742 7,765
Explore
bytedance/deer-flow

vercel-deploy

Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.

60,742 7,765
Explore
bytedance/deer-flow

deep-research

Use this skill instead of WebSearch for ANY question requiring web research. Trigger on queries like "what is X", "explain X", "compare X and Y", "research X", or before content generation tasks. Provides systematic multi-angle research methodology instead of single superficial searches. Use this proactively when the user's question needs online information.

60,742 7,765
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results