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Agent Skill · 研究检索

clawboss(clawboss 搜索)

clawboss 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

clawboss 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 8,180。

总安装 16,994周安装 730GitHub Stars 公开资料未说明下载 5,957核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:clawboss(clawboss 搜索)
来源仓库:https://github.com/paitesanshi/clawboss
安装命令:
openclaw skills install clawboss
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install clawboss

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

使用 GROW 模型将您的 OpenClaw 代理转变为 AI 教练,以指导目标设定、跟踪进度、调整强度并促进反思。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install clawboss;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

clawboss 怎么安装?

在终端执行 openclaw skills install clawboss。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

clawboss 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

clawboss 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

clawboss 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

clawboss 用的人多吗?

公开数据是累计安装 16,994 次,近一周安装 730 次,下载 5,957 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

clawboss 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
clawboss

clawboss 搜索 · 本页

16,994—调用外部服务MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

ClawBoss Skill

Description: AI productivity coach using professional coaching techniques (GROW model, powerful questions, adaptive accountability)

Version: 1.0.0

Author: ClawBoss Contributors


What It Does

ClawBoss transforms your OpenClaw agent into a productivity coach that:

  • Guides goal setting using the GROW coaching model
  • Tracks progress with non-judgmental accountability
  • Adapts intensity based on your momentum
  • Facilitates reflection for continuous improvement
  • Maintains memory of your patterns and insights

Unlike traditional task managers, ClawBoss uses coaching questions to help you discover your own solutions and stay motivated.


Tools

1. clawboss-breakdown

Description: Interactive GROW model session for goal setting and task breakdown

Usage:

Use the clawboss-breakdown tool to guide goal setting with coaching questions.

Process:

  1. Goal Discovery - "What do you want to achieve?"
  2. Reality Check - "Where are you now?"
  3. Options Exploration - "What are possible approaches?"
  4. Action Commitment - "What will you do first?"

Output:

  • Creates memory/tasks/{goal-name}.md with structured plan
  • Updates memory/clawboss-state.json
  • Sets up progress tracking

2. clawboss-check

Description: Coaching-style progress review with adaptive questioning

Usage:

Use the clawboss-check tool to review progress on active tasks.

Process:

  1. Read active tasks from state
  2. Compare planned vs actual progress
  3. Ask appropriate coaching questions:

- Completed → "What helped you succeed?" - Partial → "What happened? How can we adjust?" - Not started → "What's blocking you?"

  1. Update task file and momentum state

Output:

  • Updated task progress
  • Coaching feedback
  • Adjusted momentum score

3. clawboss-reflect

Description: Weekly/monthly deep reflection session

Usage:

Use the clawboss-reflect tool for weekly or monthly review.
Specify period: "week" or "month"

Process:

  1. Review all tasks in the period
  2. Identify patterns (successes, blockers, time-of-day effectiveness)
  3. Ask reflection questions:

- "What did you learn about yourself?" - "What strategies worked?" - "What needs to change?"

  1. Update long-term insights

Output:

  • Reflection summary
  • Updated insights in state
  • Recommendations for next period

4. clawboss-state

Description: Read or update ClawBoss state (momentum, goals, insights)

Usage:

Use clawboss-state to read current momentum, goals, and insights.

Output:

  • Current momentum level (high/medium/low)
  • Active goals summary
  • Recent insights

Data Structure

memory/clawboss-state.json

Central state file tracking:

  • User preferences
  • Current momentum (with trend)
  • Active goals
  • Check-in timestamps
  • Long-term insights

memory/tasks/{goal-name}.md

Individual task files with:

  • Goal statement and motivation
  • Current reality assessment
  • Action plan
  • Daily progress log
  • Lessons learned

Coaching Frameworks

GROW Model

Goal - What do you want? Reality - Where are you now? Options - What could you do? Will - What will you do?

Powerful Questions

Instead of:

  • ❌ "Did you finish?"
  • ❌ "Why didn't you do it?"

Ask:

  • ✅ "What helped you complete this?"
  • ✅ "What got in the way?"
  • ✅ "What will you try differently?"

Adaptive Intensity

High Momentum (5+ consecutive days)

  • Challenge with bigger goals
  • Celebrate wins
  • Push boundaries

Medium Momentum (steady progress)

  • Maintain current pace
  • Gentle encouragement
  • Consistent check-ins

Low Momentum (3+ days no progress)

  • Reduce to tiny first steps
  • Explore blockers
  • Reframe setbacks as learning

Heartbeat Integration

ClawBoss uses OpenClaw's heartbeat system for automatic check-ins:

Morning (09:00-10:00)

  • Review today's plans
  • Set intention
  • Quick motivation

Evening (19:00-21:00)

  • Progress review
  • Coaching questions
  • Update momentum

Weekly (Sunday 19:00)

  • Deep reflection
  • Pattern analysis
  • Next week planning

See HEARTBEAT.md for configuration.


Installation

Automatic via npx:

npx clawboss@latest

Manual:

  1. Copy this skill to ~/.openclaw/skills/clawboss/
  2. Add to openclaw.json:
   {
     "skills": {
       "entries": {
         "clawboss": {
           "enabled": true
         }
       }
     }
   }
  1. Inject templates into workspace files
  2. Restart OpenClaw

Requirements

  • OpenClaw >= 1.0.0
  • Node.js >= 18
  • No external API keys required

Privacy

All data stored locally in ~/.openclaw/workspace/memory/:

  • No cloud sync
  • No external services
  • User owns all data

License

MIT


Learn More

  • Coaching techniques: See docs/coaching-guide.md
  • Example workflows: See docs/examples.md
  • GitHub: https://github.com/Paitesanshi/ClawBoss

平台分布

OpenClaw

85.08%
按下载量换算5,068

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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