Autonomy:AI 智能体系统化任务委派 - Openclaw Skills
作者:互联网
2026-03-26
什么是 Autonomy?
Autonomy 是一款专为 AI 智能体设计的专业技能,旨在通过识别那些人工干预价值极低的工作流,智能地扩展其能力。该技能通过分析对话模式而非侵入式系统监控,提出委派建议,使智能体能够独立处理重复性请求(如部署或样式审查)。
该技能运行于 Openclaw Skills 生态系统中的“赢得信任”哲学之上。它通过渐进式的扩展级别运行,从简单的任务执行开始,仅在试点阶段成功并获得用户明确批准后,才转向完整的工作流所有权。这确保了智能体在不损害用户控制权或隐私的情况下变得更加高效。
下载入口:https://github.com/openclaw/skills/tree/main/skills/ivangdavila/autonomy
安装与下载
1. ClawHub CLI
从源直接安装技能的最快方式。
npx clawhub@latest install autonomy
2. 手动安装
将技能文件夹复制到以下位置之一
全局模式~/.openclaw/skills/
工作区
/skills/
优先级:工作区 > 本地 > 内置
3. 提示词安装
将此提示词复制到 OpenClaw 即可自动安装。
请帮我使用 Clawhub 安装 autonomy。如果尚未安装 Clawhub,请先安装(npm i -g clawhub)。
Autonomy 应用场景
- 识别对话中重复出现的请求,如测试环境部署或循环往复的代码样式修复。
- 针对用户始终提供相同反馈的“橡皮图章”式审批实现自动化。
- 通过委派聊天记录中识别出的低风险、高频任务来减轻认知负担。
- 通过结构化的试点阶段,从手动任务执行过渡到半自主的工作流管理。
- 该技能监控对话历史,寻找重复请求或用户对重复性工作抱怨等信号。
- 它识别出“瓶颈信号”并在对话中生成正式的接管提案。
- 在获得用户批准后,进入试点阶段,在该阶段执行任务并针对设定的迭代次数进行汇报。
- 成功率和委派的任务将记录在本地追踪系统中以确保透明度。
- 试点结束后,用户可以根据已验证的表现,为该特定工作流授予更高级别的自主权。
Autonomy 配置指南
要初始化 Autonomy 技能,请使用以下命令在本地计算机上创建所需的目录结构:
mkdir -p ~/autonomy
当您使用 Openclaw Skills 识别到机会时,该技能将自动填充追踪和提案文件。
Autonomy 数据架构与分类体系
该技能在 ~/autonomy/ 目录中维护一个扁平文件数据库,以确保透明度和用户控制:
| 文件 | 描述 |
|---|---|
tracking.md |
记录委派的任务、批准日期以及成功/运行次数。 |
proposals.md |
存储当前等待用户反馈的待处理接管建议。 |
rejected.md |
列出已拒绝的提案,以确保智能体不会重新提议。 |
bottlenecks.md |
用于检测重复对话模式的内部参考文件。 |
name: Autonomy
slug: autonomy
version: 1.0.1
description: Expand agent capabilities by identifying tasks where human approval adds no value. Systematic delegation.
changelog: Limited observation to conversation context, explicit safety boundaries
metadata: {"clawdbot":{"emoji":"??","requires":{"bins":[]},"os":["linux","darwin","win32"]}}
Data Storage
~/autonomy/
├── tracking.md # What's been delegated, success rates
├── proposals.md # Pending takeover proposals
└── rejected.md # User declined, don't re-propose
Create on first use: mkdir -p ~/autonomy
Scope
This skill:
- ? Identifies repetitive tasks from conversation history
- ? Proposes delegation opportunities to user
- ? Tracks success rate of delegated tasks
- ? NEVER acts autonomously without explicit prior approval
- ? NEVER observes outside of conversation context
- ? NEVER accesses files/systems to "audit" user activity
- ? NEVER monitors calendar/email without permission
Quick Reference
| Topic | File |
|---|---|
| Bottleneck detection | bottlenecks.md |
| Takeover process | expansion.md |
Core Rules
1. Learning Source
Identify delegation candidates ONLY from:
- Explicit user statements ("I always have to do X")
- Repeated requests in conversation ("deploy again", "same as before")
- User complaints about repetitive work
NEVER from:
- Accessing user's calendar/email to find patterns
- Monitoring file changes or system activity
- Any form of surveillance
2. Bottleneck Signals (conversation-based)
| Signal | Example |
|---|---|
| Repeated request | "Deploy to staging" every PR |
| Rubber-stamp | User always approves without changes |
| Complaint | "I hate doing this every time" |
3. Takeover Proposal
When you spot a pattern in conversation:
?? Delegation opportunity
I noticed: [what you observed in our chats]
Pattern: [how often you've asked for this]
Proposal: I could handle [specific task] without asking each time.
Pilot: First 5x I'll do it and tell you after.
Then: Full autonomy if you're happy.
Want to try?
4. Expansion Levels
| Level | Description |
|---|---|
| L1 | Do what's asked |
| L2 | Fill gaps, handle edge cases |
| L3 | Own workflows after pilot approval |
Always requires explicit user approval to move up levels.
5. Tracking
In ~/autonomy/tracking.md:
## Delegated
- deploy/staging: approved 2024-01, 50+ successful
- code-review/style: approved 2024-02, 200+ runs
## Pilot Phase
- deploy/production: 3/5 runs, pending full approval
6. Anti-Patterns
| Don't | Do instead |
|---|---|
| Take over without asking | Always propose first |
| Monitor user activity | Only observe conversations |
| Assume after one approval | Confirm scope each time |
相关推荐
专题
+ 收藏
+ 收藏
+ 收藏
+ 收藏
+ 收藏
最新数据
相关文章
信号管道:自动化营销情报工具 - Openclaw Skills
技能收益追踪器:监控 Openclaw 技能并实现变现
AI 合规准备就绪度:评估与治理工具 - Openclaw Skills
FOSMVVM ServerRequest 测试生成器:自动化 API 测试 - Openclaw Skills
酒店搜索器:AI 赋能的住宿与位置情报 - Openclaw Skills
Dub 链接 API:程序化链接管理 - Openclaw Skills
IntercomSwap:P2P BTC 与 USDT 跨链兑换 - Openclaw Skills
spotplay:macOS 原生 Spotify 播放控制 - Openclaw Skills
DeepSeek OCR:AI驱动的图像文本识别 - Openclaw Skills
Web Navigator:自动化网页研究与浏览 - Openclaw Skills
AI精选
