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bootstrapBootstrap 初始化

Agent Skill

bootstrap 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,093

周安装

46

GitHub Stars

64,291

下载量

383
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bootstrap(Bootstrap 初始化)
来源仓库:https://github.com/bytedance/deer-flow
仓库路径:skills/bootstrap
安装命令:
npx skills add https://github.com/bytedance/deer-flow --skill bootstrap
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bytedance/deer-flow --skill bootstrap

简介

用于通过对话提取用户需求并生成 SOUL.md 伙伴定义。

  • 采用 5–8 轮自适应对话完成 onboarding 流程。
  • 输出模板参考 templates/SOUL.template.md。
  • 安装方式:通过 npx 从 GitHub 仓库添加技能。
  • 注意:每阶段只推进一个话题,避免信息过载。bootstrap 属于开发类 Skill,可作为该场景下的辅助能力补充。

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.

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.76%
按下载量换算133

Claude

30.8%
按下载量换算118

Cursor

20.52%
按下载量换算79

Gemini CLI

9.18%
按下载量换算35

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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