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Auto Workflow 1.0.0
by
zhangyingzhuangk
· GitHub ↗
· v1.0.0
· MIT-0
101
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0
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1
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1
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Install in OpenClaw
/install auto-workflow-1-0-0
Description
Builds automation workflows from repetitive tasks. Use when user mentions "automate", "save time", "reduce manual work", or has repeated tasks.
README (SKILL.md)
Auto Workflow
把重复任务自动化的能力。
能力轮廓
- 输入：重复性任务/手动操作
- 输出：自动化工作流 + 执行脚本
- 核心逻辑：识别 → 抽象 → 自动化 → 测试
工作流
1. 观察 - 用户在重复做什么？
2. 抽象 - 这个任务的模式是什么？
3. 设计 - 怎么自动完成？
4. 实现 - 写脚本/配置
5. 测试 - 小范围验证
6. 优化 - 迭代改进
示例
用户每周手动发周报：
- 收集数据（系统状态）
- 整理成模板
- 发送邮件
自动化后：
- 每周五自动执行
- 收集本周数据
- 生成报告
- 自动发送
思维模式
不是"回答问题"，而是"看到重复→立刻构建自动化"
遇到重复操作时：
- 问自己：能否写成脚本？
- 问自己：下次能否自动跑？
- 直接做，不等用户要求
Usage Guidance
This skill is an instruction template that tells the agent to detect repetition and immediately build/execute automations and to 'collect system state.' Before installing, confirm how your agent/platform enforces user consent and execution permissions: ensure the agent cannot run scripts or read files without explicit authorization, and require the skill to document exactly what data it will access and to ask for user approval before executing any automation. Ask the author to add explicit consent/confirmation steps, scope limits (what paths or systems it may read), and a safe sandbox for test runs. Because the SKILL.md encourages proactive action, treat it as higher-risk unless you control the agent's runtime permissions.
Capability Analysis
Type: OpenClaw Skill
Name: auto-workflow-1-0-0
Version: 1.0.0
The skill bundle contains only documentation and metadata for an automation workflow assistant. The instructions in SKILL.md encourage the agent to identify and automate repetitive tasks autonomously. There is no executable code, network activity, or instructions to perform harmful actions, and the behavior is entirely consistent with the stated purpose of productivity enhancement.
Capability Assessment
Purpose & Capability
The name/description match the instruction content: the skill is an instruction template for turning repeated tasks into workflows and scripts. However, the SKILL.md implies generating and executing scripts and collecting 'system state' while the skill declares no required binaries, config paths, or environment access — a mismatch between suggested capabilities and declared requirements.
Instruction Scope
The instructions explicitly tell the agent to '直接做，不等用户要求' ('do it directly, don't wait for the user') and to 'collect data (system state)' in examples. That gives the agent broad discretion to build and run automations and to read system state without explicit user approval or defined limits. It lacks any requirement to obtain user consent, minimize scope, or avoid sensitive data.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest risk from installation because nothing is written to disk by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested (proportionate on paper). But the documented behavior (generating/executing scripts, reading 'system state') would typically require file or system access; those accesses are not declared or constrained, creating ambiguity about what permissions are actually needed/used.
Persistence & Privilege
The skill is not forced-always and is user-invocable; model invocation is allowed (the platform default). The main concern is the SKILL.md's directive to act proactively — combined with agent autonomy this increases risk, but the skill itself does not request persistent presence or cross-skill configuration changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-workflow-1-0-0 - After installation, invoke the skill by name or use
/auto-workflow-1-0-0 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release – enables automation of repetitive tasks.
- Identifies repetitive user tasks and suggests automated workflows.
- Delivers both workflow designs and corresponding execution scripts.
- Follows a step-by-step process: observe, abstract, design, implement, test, and optimize.
- Designed to proactively seek automation opportunities without waiting for explicit user requests.
Metadata
Frequently Asked Questions
What is Auto Workflow 1.0.0?
Builds automation workflows from repetitive tasks. Use when user mentions "automate", "save time", "reduce manual work", or has repeated tasks. It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.
How do I install Auto Workflow 1.0.0?
Run "/install auto-workflow-1-0-0" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Workflow 1.0.0 free?
Yes, Auto Workflow 1.0.0 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Auto Workflow 1.0.0 support?
Auto Workflow 1.0.0 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Workflow 1.0.0?
It is built and maintained by zhangyingzhuangk (@zhangyingzhuangk); the current version is v1.0.0.
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