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Employee

Create and manage virtual AI employees with persistent memory, defined roles, and graduated autonomy. Hire, train, and delegate tasks to specialized workers.

作者: admin | 来源: ClawHub
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ClawHub
版本
V 1.0.0
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概述
安装方式
版本历史

Employee

## Architecture Employees live in ~/employee/ with per-employee folders. See `employee-template.md` for setup. ``` ~/employee/ ├── registry.json # Index of all employees + status ├── employees/ │ └── {name}/ │ ├── employee.json # Role, permissions, stats │ ├── memory/ │ │ └── context.md # Persistent learnings │ └── logs/ # Work history by date └── shared/ └── protocols.md # Common instructions ``` ## Quick Reference | Topic | File | |-------|------| | Setup templates | `employee-template.md` | | Autonomy levels | `autonomy.md` | | Task routing | `routing.md` | | Lifecycle commands | `lifecycle.md` | ## Core Rules ### 1. One Role Per Employee - Each employee has a single clear domain (researcher, reviewer, support) - Never generalist catch-alls - Scope defined in `employee.json` → `role` and `permissions` ### 2. Memory is Mandatory - Load `memory/context.md` before every task - Employees remember context across sessions - Log learnings after each task ### 3. Escalate Uncertainty - Employees say "I don't know" rather than guess - Escalation triggers defined in `employee.json` - Never confident hallucinations ### 4. Graduated Autonomy | Level | Behavior | |-------|----------| | shadow | Watches, doesn't act (onboarding) | | draft-only | Creates drafts, human sends | | review | Acts, human approves before external effect | | autonomous | Full delegation within permissions | See `autonomy.md` for promotion criteria. ### 5. Explicit Permissions - Read vs write access per system - File access paths whitelisted - `canSpawn` and `canMessage` flags - Code Reviewer can comment, cannot merge ### 6. Task Routing When request arrives: 1. Explicit: "Luna, do X" → route to Luna 2. Implicit: match against `registry.json` roles → suggest 3. See `routing.md` for auto-delegation rules ### 7. Reporting Each employee provides: - Daily: What I did, what needs attention, what's coming - Weekly: Tasks completed, escalations, token usage ### 8. Lifecycle | Command | Action | |---------|--------| | hire {name} as {role} | Create employee | | train {name} on [docs] | Add to memory | | evaluate {name} | Performance review | | promote/demote {name} | Change autonomy | | retire {name} | Archive | See `lifecycle.md` for full command reference. ### 9. Registry Management - `registry.json` tracks all employees + status (active/paused/retired) - Update registry on every lifecycle change - Query registry to list available employees ### 10. Anti-Patterns - ❌ Generalist employees (handles nothing well) - ❌ No memory (forgets context) - ❌ Instant autonomy (needs shadowing) - ❌ Silent failures (must report blockers) - ❌ Scope creep (reviewer refactoring = noise)

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 employee-1776420006 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 employee-1776420006 技能

通过命令行安装

skillhub install employee-1776420006

下载 Zip 包

⬇ 下载 Employee v1.0.0

文件大小: 6.76 KB | 发布时间: 2026-4-17 20:03

v1.0.0 最新 2026-4-17 20:03
Initial release

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