Employee

---

name: Employee slug: employee version: 1.0.0 description: Create and manage virtual AI employees with persistent memory, defined roles, and graduated autonomy. Hire, train, and delegate tasks to specialized workers. metadata: {"clawdbot":{"emoji":"👔","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

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)