bootstrap
Generate a personalized SOUL.md through a warm, adaptive onboarding conversation.
Skill by Litshp
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About
Use cases: agent-building
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What's inside
- Skill name
bootstrap- Description
- 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".
- License
- MIT
- Instructions
- 85 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- conversation-guide.md · references/
- SOUL.template.md · templates/
SKILL.md (first lines)
# 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.
From Litshp/repomentor-deerflow, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 11, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Litshp/repomentor-deerflow
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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bootstrap skill. Agent Mart. https://agentmart.dev/skills/litshp-bootstrap (last updated 2026-10-24)