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Agent Skill · 研究检索

compound-engineering-2(复合工程 2)

compound-engineering-2 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

compound-engineering-2 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 69,749。

总安装 216周安装 9GitHub Stars 589下载 72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
unknown

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:compound-engineering-2(复合工程 2)
来源仓库:https://github.com/sundial-org/awesome-openclaw-skills
仓库路径:skills/compound-engineering-2
安装命令:
npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill compound-engineering-2
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill compound-engineering-2

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。

自动提取 Agent 工作会话中的模式与教训,持续增强智能体能力。通过定期快照与夜间自动 review 实现知识的指数级积累。适用于需要长期演进、避免重复踩坑的智能系统开发场景。compound-engineering-2 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

可集成 cron 实现无人值守的知识沉淀,适合复杂项目环境。安装前建议确认是否有权限创建定时任务及写入记忆文件。

来源仓库内路径:skills/compound-engineering-2

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill co…;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

    它需要需要联网,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

compound-engineering-2 怎么安装?

在终端执行 npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill compound-eng…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

compound-engineering-2 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

compound-engineering-2 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

compound-engineering-2 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

compound-engineering-2 用的人多吗?

公开数据是累计安装 216 次,近一周安装 9 次,下载 72 次,GitHub 589 星。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。

compound-engineering-2 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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

  • 需要明确授权才能用到公司项目里的场景。
  • 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
compound-engineering-2

复合工程 2 · 本页

216589需要联网未明确未通过

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

Compound Engineering

Make your AI agent learn automatically. Extract learnings from sessions, update memory files, and compound knowledge over time.

The idea: Your agent reviews its own work, extracts patterns and lessons, and updates its instructions. Tomorrow's agent is smarter than today's.


Quick Start

# Review last 24 hours and update memory
npx compound-engineering review

# Create hourly memory snapshot
npx compound-engineering snapshot

# Set up automated nightly review (cron)
npx compound-engineering setup-cron

How It Works

The Compound Loop

┌─────────────────────────────────────────┐
│           DAILY WORK                    │
│  Sessions, chats, tasks, decisions      │
└────────────────┬────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────┐
│        NIGHTLY REVIEW (10:30 PM)        │
│  • Scan all sessions from last 24h      │
│  • Extract learnings and patterns       │
│  • Update MEMORY.md and AGENTS.md       │
│  • Commit and push changes              │
└────────────────┬────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────┐
│        NEXT DAY                         │
│  Agent reads updated instructions       │
│  Benefits from yesterday's learnings    │
└─────────────────────────────────────────┘

What Gets Extracted

  • Patterns: Recurring approaches that worked
  • Gotchas: Things that failed or caused issues
  • Preferences: User preferences discovered
  • Decisions: Key decisions and their reasoning
  • TODOs: Unfinished items to remember

Clawdbot Integration

Automatic Hourly Memory

Add to your HEARTBEAT.md:

# Hourly Memory Snapshot
Every hour, append a brief summary to memory/YYYY-MM-DD.md:
- What was accomplished
- Key decisions made
- Anything to remember

Or use cron:

# Add to clawdbot config or crontab
0 * * * * clawdbot cron run compound-hourly

Nightly Review Job

Add this cron job to Clawdbot:

{
  "id": "compound-nightly",
  "schedule": "30 22 * * *",
  "text": "Review all sessions from the last 24 hours. For each session, extract: 1) Key learnings and patterns, 2) Mistakes or gotchas to avoid, 3) User preferences discovered, 4) Unfinished items. Update MEMORY.md with a summary. Update memory/YYYY-MM-DD.md with details. Commit changes to git."
}

Manual Review Command

When you want to trigger a review manually:

Review the last 24 hours of work. Extract:

1. **Patterns that worked** - approaches to repeat
2. **Gotchas encountered** - things to avoid
3. **Preferences learned** - user likes/dislikes
4. **Key decisions** - and their reasoning
5. **Open items** - unfinished work

Update:
- MEMORY.md with significant long-term learnings
- memory/YYYY-MM-DD.md with today's details
- AGENTS.md if workflow changes needed

Commit changes with message "compound: daily review YYYY-MM-DD"

Memory File Structure

MEMORY.md (Long-term)

# Long-Term Memory

## Patterns That Work
- When doing X, always Y first
- User prefers Z approach for...

## Gotchas to Avoid
- Don't do X without checking Y
- API Z has rate limit of...

## User Preferences
- Prefers concise responses
- Timezone: PST
- ...

## Project Context
- Main repo at /path/to/project
- Deploy process is...

memory/YYYY-MM-DD.md (Daily)

# 2026-01-28 (Tuesday)

## Sessions
- 09:00 - Built security audit tool
- 14:00 - Published 40 skills to MoltHub

## Decisions
- Chose to batch publish in parallel (5 sub-agents)
- Security tool covers 6 check categories

## Learnings
- ClawdHub publish can timeout, retry with new version
- npm publish hangs sometimes, may need to retry

## Open Items
- [ ] Finish remaining MoltHub uploads
- [ ] Set up analytics tracker

Hourly Snapshots

For more granular memory, create hourly snapshots:

# Creates memory/YYYY-MM-DD-HH.md every hour
*/60 * * * * echo "## $(date +%H):00 Snapshot" >> ~/clawd/memory/$(date +%Y-%m-%d).md

Or have the agent do it via heartbeat by checking time and appending to daily file.


The Compound Effect

Week 1: Agent knows basics Week 2: Agent remembers your preferences Week 4: Agent anticipates your needs Month 2: Agent is an expert in your workflow

Knowledge compounds. Every session makes future sessions better.


Setup Scripts

Nightly Review (launchd - macOS)

<!-- ~/Library/LaunchAgents/com.clawdbot.compound-review.plist -->
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "...">
<plist version="1.0">
<dict>
  <key>Label</key>
  <string>com.clawdbot.compound-review</string>
  <key>ProgramArguments</key>
  <array>
    <string>/opt/homebrew/bin/clawdbot</string>
    <string>cron</string>
    <string>run</string>
    <string>compound-nightly</string>
  </array>
  <key>StartCalendarInterval</key>
  <dict>
    <key>Hour</key>
    <integer>22</integer>
    <key>Minute</key>
    <integer>30</integer>
  </dict>
</dict>
</plist>

Hourly Memory (crontab)

# Add with: crontab -e
0 * * * * /opt/homebrew/bin/clawdbot cron run compound-hourly 2>&1 >> ~/clawd/logs/compound.log

Best Practices

  1. Review before sleep - Let the nightly job run when you're done for the day
  2. Don't over-extract - Focus on significant learnings, not noise
  3. Prune regularly - Remove outdated info from MEMORY.md monthly
  4. Git everything - Memory files should be version controlled
  5. Trust the compound - Effects are subtle at first, dramatic over time

Built by LXGIC Studios - @lxgicstudios

平台分布

Codex

33.4%
按下载量换算24

Claude

28.64%
按下载量换算21

Cursor

19.29%
按下载量换算14

Gemini CLI

9.24%
按下载量换算7

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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