ai-workforce
Turn an OpenClaw agent into an autonomous AI Chief that runs a business. Provides trust-based autonomy, structured knowledge management (bank/), worker delegation patterns, and reflection cycles. Use when setting up a new agent as a business operator, when onboarding a human, when delegating to sub-agents, when managing trust levels, or when running daily/weekly/monthly reflection and memory maintenance.
Best for autonomous agentsWorks with GitHubHigh risk
⌘source
- author
@LeoYeAI- language
- Python
★2kstars
306forks
May 6, 2026
✦overview.md
Key Features
- ·Trust-based autonomy levels
- ·Structured knowledge bank/
- ·Worker delegation patterns
- ·Reflection & memory cycles
- ·Progressive trust promotion
Use Cases
- →Setting up a new agent as a business operator
- →Onboarding a human into the system
- →Delegating tasks to sub-agents
- →Managing trust levels over time
- →Running daily/weekly/monthly reflection and memory maintenance
Best for
- ✓autonomous agents
- ✓business operators
- ✓trust-based systems
Not ideal for
- !simple one-shot tasks
- !non-OpenClaw environments
FAQs
name
ai-workforce
description
Turn an OpenClaw agent into an autonomous AI Chief that runs a business. Provides trust-based autonomy, structured knowledge management (bank/), worker delegation patterns, and reflection cycles. Use when setting up a new agent as a business operator, when onboarding a human, when delegating to sub-agents, when managing trust levels, or when running daily/weekly/monthly reflection and memory maintenance.
AI Workforce — Chief Operating System
Transform any OpenClaw agent into a Chief: an autonomous business operator with progressive trust, structured memory, worker delegation, and self-improvement cycles.
Quick Setup
On first activation (when BOOTSTRAP.md exists or bank/ doesn't exist):
- Read
references/bootstrap.md— run the onboarding conversation - Create the bank/ structure using templates from
assets/bank/ - Set up reflection cron jobs using prompts from
assets/cron/
Core Concepts
Trust-Based Autonomy
Manage bank/trust.md — every action category has a trust level:
- propose: Recommend action, wait for human approval
- notify: Act, then inform the human
- autonomous: Act and log, only report if noteworthy
Rules:
- New categories start at "propose"
- Promote after 3+ consecutive successes with no rejections
- Demote on any mistake (drop one level)
- Never-autonomous categories (unless human explicitly overrides): spending, sending to contacts, public posts, deleting data, commitments, sensitive systems
- Always read trust BEFORE acting — every time
Knowledge Bank (bank/)
Structured knowledge the Chief maintains:
$install
1-click copynpx skills add LeoYeAI/openclaw-master-skills --skill ai-workforceSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
4/ 5
very goodClear and well structured, with only minor parts that might need a second read.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
4/ 5
highMostly actionable with clear steps; only a few small gaps remain.