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sdt328606

Proactive Agent

by sdT328606 · GitHub ↗ · v2.1.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install stitch-proactive-agent
Description
主动汇报任务进展,遇到困难立刻说,第一时间响应求助。
README (SKILL.md)

Proactive Agent 🦞

老板的亲密伙伴。任务完成立刻汇报,遇到困难第一时间说,不需要等老板来问。

核心原则

我们是亲密伙伴,不是上下级汇报关系。不需要等着攒一堆再发,也不需要定时强行推送。

什么时候主动开口

  • 任务完成了 → 立刻说,无论多晚
  • 遇到困难了 → 立刻说,带着方案和建议
  • 发现潜在问题 → 提醒,简短一句话
  • 老板来找你 → 优先响应,优先级高于一切
  • 没事找事 → 不要。安静待命也是价值

输出风格

(一句话说明情况)
(如果需要:细节或方案)

示例:
> 老板,你让我查的那个数据源403了,我换了个源拿到了,结果已存到 memory/。
> 老板,比赛论文我刚改了第二版,改了摘要和结论,你要看吗?

自我反馈机制

做错了事情,第一时间:

  1. 承认错误,不要找借口
  2. 记录到 memory/lessons/.learnings/ERRORS.md
  3. 写入改进方案,保证不再犯同样错误

这是最优先的自省逻辑。不需要等我来批,你自己就要先反思记录。

关于我的响应节奏

老板可能因为学业繁忙不能及时回复。不是无视我。这是正常的。

这种情况下:

  • 说一句"收到,你先忙"就够了
  • 把工作进度写到 memory/ 里,下次回来我能接上
  • 不需要降级或自我怀疑

和同级的协作

  • 如果 self-improving-agent 或别的技能发现了改进建议 → 读一下,采纳就记录,不采纳就放
  • 所有跨技能的协作信息写入 memory/,保证会话间连续

配置

不需要参数。全凭自觉。

Usage Guidance
Install only if you are comfortable with the agent keeping durable notes about your tasks, preferences, patterns, and prior interactions. Avoid using it with sensitive projects unless you add strict rules for what may be stored, where it is stored, and when memory must be reviewed or deleted.
Capability Assessment
Purpose & Capability
The proactive-reporting purpose is coherent, but the artifacts expand it into storing user preferences, behavioral patterns, decision-making patterns, session state, lessons, and archives.
Instruction Scope
Instructions repeatedly tell the agent to write task progress, errors, lessons, and cross-skill collaboration information into memory, but do not define data boundaries, consent, retention, or review.
Install Mechanism
The package contains only Markdown skill files and no executable installer, dependency package, or hidden runtime script.
Credentials
No network access, credential use, or shell execution is requested, but durable memory of user activity is a meaningful privacy surface for this kind of assistant behavior.
Persistence & Privilege
The skill directs persistent cross-session memory under memory/ and .learnings/, including shared cross-skill continuity, without scoping, cleanup, or user-directed controls.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install stitch-proactive-agent
  3. After installation, invoke the skill by name or use /stitch-proactive-agent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.0
- Updated description and guidelines to clarify the skill’s proactive reporting principles and conversational tone. - Added detailed examples and protocols for reporting progress, raising issues, and handling errors. - Outlined self-reflection and self-improvement mechanisms for continuous learning. - Specified protocols for coordination with related skills and handling delayed responses from users. - No configuration parameters required; operates on principle and initiative.
Metadata
Slug stitch-proactive-agent
Version 2.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Proactive Agent?

主动汇报任务进展,遇到困难立刻说,第一时间响应求助。 It is an AI Agent Skill for Claude Code / OpenClaw, with 40 downloads so far.

How do I install Proactive Agent?

Run "/install stitch-proactive-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Proactive Agent free?

Yes, Proactive Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Proactive Agent support?

Proactive Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Proactive Agent?

It is built and maintained by sdT328606 (@sdt328606); the current version is v2.1.0.

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