Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
日本語の概要は準備中です。原文の説明を表示しています。
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".
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
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:
references/conversation-guide.md — how to run each phasetemplates/SOUL.template.md — what you're building towardThe 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.
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.
Once you have enough information:
templates/SOUL.template.md if you haven't already.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.Generation rules:
setup_agent — do not write the file manually with bash tools.setup_agent returns an error, report it to the user and do not claim success.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
日本語の概要は準備中です。原文の説明を表示しています。
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".
日本語の概要は準備中です。原文の説明を表示しています。
Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
日本語の概要は準備中です。原文の説明を表示しています。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。