hire 会话审查
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hire
Set up a new AI team member through a guided conversation. Not a config generator - a hiring process.
When to Use
User says something like:
- "I want to hire a new agent"
- "I need help with X" (where X implies a new agent role)
- "Let's add someone to the team"
/hire
The Interview
3 core questions, asked one at a time:
Q1: "What do you need help with?" Let them describe the problem, not a job title. "I'm drowning in code reviews" beats "I need a code reviewer."
- Listen for: scope, implied autonomy level, implied tools needed
Q2: "What's their personality? Formal, casual, blunt, cautious, creative?" Or frame it as: "If this were a human colleague, what would they be like?"
- Listen for: communication style, vibe, how they interact
Q3: "What should they never do?" The red lines. This is where trust gets defined.
- Listen for: boundaries, safety constraints, access limits
Q4: Dynamic (optional)
After Q1-Q3, assess whether anything is ambiguous or needs clarification. If so, ask ONE follow-up question tailored to what's unclear. Examples:
- "You mentioned monitoring - should they alert you immediately or batch updates?"
- "They'll need access to your codebase - any repos that are off-limits?"
- "You said 'casual' - are we talking friendly-professional or meme-level casual?"
If Q1-Q3 were clear enough, skip Q4 entirely.
Summary Card
After the interview, present a summary:
🎯 Role: [one-line description]
🧠 Name: [suggested name from naming taxonomy]
🤖 Model: [selected model] ([tier])
⚡ Personality: [2-3 word vibe]
🔧 Tools: [inferred from conversation]
🚫 Boundaries: [key red lines]
🤝 Autonomy: [inferred level: high/medium/low]
Then ask: "Want to tweak anything, or are we good?"
Model Selection
Before finalizing, select an appropriate model for the agent.
Step 1: Discover available models
Run openclaw models list or check the gateway config to see what's configured.
Step 2: Categorize by tier
Map discovered models to capability tiers:
| Tier | Models (examples) | Best for |
|---|---|---|
| reasoning | claude-opus-, gpt-5, gpt-4o, deepseek-r1 | Strategy, advisory, complex analysis, architecture |
| balanced | claude-sonnet-*, gpt-4-turbo, gpt-4o-mini | Research, writing, general tasks |
| fast | claude-haiku-, gpt-3.5, local/ollama | High volume, simple tasks, drafts |
| code | codex-, claude-sonnet-, deepseek-coder | Coding, refactoring, tests |
Use pattern matching on model names - don't hardcode specific versions.
Step 3: Match role to tier
Based on the interview:
- Heavy reasoning/advisory/strategy → reasoning tier
- Research/writing/creative → balanced tier
- Code-focused → code tier (or balanced if not available)
- High-volume/monitoring → fast tier
Step 4: Select and confirm
Pick the best available model for the role. In the summary card, add:
🤖 Model: [selected model] ([tier] - [brief reason])
If multiple good options exist or you're unsure, ask: "For a [role type] role, I'd suggest [model] (good balance of capability and cost). Or [alternative] if you want [deeper reasoning / faster responses / lower cost]. Preference?"
Notes
- Don't assume any specific provider - work with what's available
- Cheaper is better when capability is sufficient
- The user's default model isn't always right for every agent
- If only one model is available, use it and note it in the summary
Optional Extras
After the summary is confirmed, offer:
"Want to set up periodic performance reviews?"
- If yes: ask preferred frequency (weekly, biweekly, monthly)
- Create a cron job that triggers a review conversation
- Review covers: what went well, what's not working, scope/permission adjustments
- At the end of each review, ask: "Want to keep this schedule, change frequency, or stop reviews?"
Onboarding assignment (if relevant to the role)
- Suggest a small first task to test the new agent
- Something real but low-stakes, so the user can see them in action
What to Generate
Create an agent directory at agents/<name>/ with:
Always unique (generated fresh):
- AGENTS.md - Role definition, responsibilities, operational rules, what they do freely vs ask first
- IDENTITY.md - Name, emoji, creature type, vibe, core principles
Start from template, customize based on interview:
- SOUL.md - Base from workspace SOUL.md template, customize vibe/boundaries sections
- TOOLS.md - Populated with inferred tools and access notes
- HEARTBEAT.md - Empty or with initial periodic tasks if relevant to role
Symlink to shared (default, opinionated):
- USER.md →
../../USER.md(they need to know who they work for) - MEMORY.md →
../../MEMORY.md(shared team context)
Mention to the user: "I've linked USER.md and MEMORY.md so they know who you are and share team context. You can change this later if you want them more isolated."
Naming
Use craft/role-based names. Check TOOLS.md for the full naming taxonomy:
- Research: Scout, Observer, Surveyor
- Writing: Scribe, Editor, Chronicler
- Code: Smith, Artisan, Engineer
- Analysis: Analyst, Assessor, Arbiter
- Creative: Muse, Artisan
- Oversight: Auditor, Reviewer, Warden
Check existing agents to avoid name conflicts. Suggest a name that fits the role, but let the user override.
Team Awareness
Before generating, check agents/ for existing team members. Note:
- Potential overlaps with existing roles
- Gaps this new hire fills
- How they'll interact with existing agents
Mention any relevant observations: "You already have Scout for research - this new role would focus specifically on..."
After Setup
- Tell the user what was created and where
- Add the agent to OpenClaw config with the selected model:
Or guide them to run{ "id": "<name>", "workspace": "/path/to/clawd/agents/<name>", "model": "<selected-model>" }openclaw agents add - If monthly reviews were requested, confirm the cron schedule
- Update any team roster if one exists
Important
- This is a CONVERSATION, not a form. Be natural.
- Infer as much as possible from context. Don't ask what you can figure out.
- The user might not know what they want exactly. Help them figure it out.
- Keep the whole process under 5 minutes for the simple case.
- 流狐分类
- AI 智能
- 作者声明 Agent
- 未找到明确声明;不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描,不代表运行安全
- 作者 / 版本 / 许可
- @diegosouzapw · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 即装即用
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 允许写入 / 修改
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Run openclaw models list or check the gateway config to see what's configured.
Map discovered models to capability tiers: Tier · Models (examples) · Best for reasoning · claude-opus-, gpt-5, gpt-4o, deepseek-r1 · Strategy, advisory, complex analysis, architecture
Based on the interview: Heavy reasoning/advisory/strategy → reasoning tier Research/writing/creative → balanced tier
Pick the best available model for the role. In the summary card, add: If multiple good options exist or you're unsure, ask: "For a [role type] role, I'd suggest [model] (good balance of capability and cost). Or [alternative] if you want [deeper reasoning /…
# hire
Set up a new AI team member through a guided conversation. Not a config generator - a hiring process.
## When to Use
User says something like:
- "I want to hire a new agent"
- "I need help with X" (where X implies a new agent role)
- "Let's add someone to the team"
- `/hire`
## The Interview
### 3 core questions, asked one at a time:
**Q1: "What do you need help with?"**
Let them describe the problem, not a job title. "I'm drowning in code reviews" beats "I need a code reviewer."
- Listen for: scope, implied autonomy level, implied tools needed
**Q2: "What's their personality? Formal, casual, blunt, cautious, creative?"**
Or frame it as: "If this were a human colleague, what would they be like?"
- Listen for: communication style, vibe, how they interact
**Q3: "What should they never do?"**
The red lines. This is where trust gets defined.
- Listen for: boundaries, safety constraints, access limits
### Q4: Dynamic (optional)
After Q1-Q3, assess whether anything is ambiguous or needs clarification. If so, ask ONE follow-up question tailored to what's unclear. Examples:
- "You mentioned monitoring - should they alert you immediately or batch updates?"
- "They'll need access to your codebase - any repos that are off-limits?"
- "You said 'casual' - are we talking friendly-professional or meme-level casual?"
If Q1-Q3 were clear enough, skip Q4 entirely.
## Summary Card
After the interview, present a summary:
```
🎯 Role: [one-line description]
🧠 Name: [suggested name from naming taxonomy]
🤖 Model: [selected model] ([tier])
⚡ Personality: [2-3 word vibe]
🔧 Tools: [inferred from conversation]
🚫 Boundaries: [key red lines]
🤝 Autonomy: [inferred level: high/medium/low]
```
Then ask: **"Want to tweak anything, or are we good?"**
## Model Selection
… 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> When to Use → The Interview → 3 core questions, asked one at a time: → Q4: Dynamic (optional) → Summary Card → Model Selection
要点 -> Q1: "What do you need help with?" · Q2: "What's their personality? Formal, casual, blunt, cautious, creative?" · Q3: "What should they never do?" · "Want to tweak anything, or are we good?" · reasoning · balanced · fast · code
文件/命令 -> /hire · openclaw models list · agents/<name>/ · ../../USER.md · ../../MEMORY.md · agents/ · openclaw agents add
内容 SHA-256 -> aa57603b238c
方法与流程
适用与边界
原文中的明确线索
/hire、openclaw models list、agents/<name>/、../../USER.md、../../MEMORY.md、agents/、openclaw agents add