# Bootstrap

> Genera un SOUL.md personalizado mediante una conversación de onboarding cálida y adaptativa. Se activa al crear, configurar o inicializar la identidad de un compañero de IA.

Fuente: https://skillsagentes.com/skills/bytedance/deer-flow/bootstrap
Markdown: https://skillsagentes.com/skills/bytedance/deer-flow/bootstrap.md

Repositorio: https://github.com/bytedance/deer-flow
Autor: bytedance
Licencia: MIT
Actualizado: hace 4 meses
Coste de contexto: 114 tok instalada, 1.2k tok al activarse, 2.9k tok con todos los archivos del bundle
Bundle: 3 archivos, 11 KB
Permisos que pide: ninguno declarado

## Instalación

Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina.

```bash
# Claude Code
npx -y skills add bytedance/deer-flow --skill bootstrap --agent claude-code
# Cursor
npx -y skills add bytedance/deer-flow --skill bootstrap --agent cursor
# Codex
npx -y skills add bytedance/deer-flow --skill bootstrap --agent codex
# Gemini CLI
npx -y skills add bytedance/deer-flow --skill bootstrap --agent gemini
# Windsurf
npx -y skills add bytedance/deer-flow --skill bootstrap --agent windsurf
# Cline
npx -y skills add bytedance/deer-flow --skill bootstrap --agent cline
```

## Qué hace

- Conduce una conversación de onboarding adaptativa de 5 a 8 rondas, 1 a 3 preguntas por ronda, para conocer al usuario
- Extrae idioma preferido, rol, dolores, nombre y personalidad deseada del asistente a través de 4 fases (Hello, You, Personality, Depth)
- Genera un SOUL.md de menos de 300 palabras con reglas de comportamiento concretas, no adjetivos genéricos
- Llama a la herramienta setup_agent con el SOUL.md confirmado para persistirlo, en vez de escribir el archivo a mano

## Cuándo usarla

- El usuario quiere crear, configurar o inicializar la identidad de su compañero de IA (p. ej. 'crea mi SOUL.md', 'define quién eres')
- El usuario quiere actualizar o modificar un SOUL.md existente

## Qué la activa

- "Vamos a crear mi SOUL.md"
- "Ayúdame a definir la personalidad de mi asistente"
- "Quiero actualizar el SOUL.md de mi IA"

## Antes de instalar

- Requiere la herramienta setup_agent para persistir el SOUL.md generado.

## Archivos

- SKILL.md — 5 KB
- references/conversation-guide.md — 4 KB
- templates/SOUL.template.md — 2 KB

## SKILL.md

Reproducido tal cual desde bytedance/deer-flow bajo MIT. Esta sección es el documento original y está en inglés.

# 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.

## Dónde encaja

- Categoría: [Productividad](https://skillsagentes.com/categorias/productividad.md) — Planificación, toma de notas y automatización de flujos personales.
- Creador: [bytedance](https://skillsagentes.com/creators/bytedance.md) — 27 skills en el directorio
- [Todas las skills](https://skillsagentes.com/skills.md)
- [Ranking de instalaciones](https://skillsagentes.com/ranking.md)

## Otras skills del mismo repositorio

- [Engineer System Change](https://skillsagentes.com/skills/bytedance/deer-flow/engineer-system-change.md): Evalúa y ejecuta cambios de sistema no triviales desde primeros principios: RFCs, features, refactors, migraciones o nuevas APIs, exigiendo consumidores concretos, la solución mínima suficiente y evidencia proporcional al riesgo.
- [Skill Reviewer](https://skillsagentes.com/skills/bytedance/deer-flow/skill-reviewer.md): Revisa paquetes de skills de DeerFlow: preparación para publicar, triggers, límites de seguridad, recursos y evidencia. Úsala cuando pidan auditar, calificar o validar para producción una skill.
- [Smoke Test](https://skillsagentes.com/skills/bytedance/deer-flow/smoke-test.md): Skill de smoke test de extremo a extremo para DeerFlow: actualiza el código, despliega en local o Docker, verifica disponibilidad de servicios, hace health check y genera el reporte final.
- [Skill Creator](https://skillsagentes.com/skills/bytedance/deer-flow/skill-creator.md): Crea skills nuevas, modifica y mejora skills existentes, y mide su rendimiento. Úsala para crear una skill, editarla, correr evals, hacer benchmark con análisis de varianza, u optimizar su descripción.
- [Deerflow Maintainer Orchestrator](https://skillsagentes.com/skills/bytedance/deer-flow/deerflow-maintainer-orchestrator.md): Manejo de issues y PRs de GitHub solo por comentarios para mantenedores de DeerFlow: resuelve alcance con gh, analiza, publica o redacta comentarios de issues y revisiones de PR, y compara PRs en competencia.

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