据 AlphaMoat 统计,截至 2026-10,Ai Compound 1.0.1 累计下载 6,052 次、获 5 个星标,按累计下载量在本次参与排名的 5,109 个 AI 技能中排名第 2,265 位,在「AI 智能体」分类(987 个)中排名第 429 位。
列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。
| 平台 | 累计下载 | 星标 | 评论 |
|---|---|---|---|
| ClawHub ↗ | 3,387 | 4 | - |
| SkillHub ↗ | 6,052 | 5 | — |
各平台的计数口径不同,统计时间不一致。
让AI智能体自动学习与提升。回顾会话,提取经验,更新记忆文件,持续积累知识。设置夜间审查循环,使智能体每天更加聪明。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-10 | 6,052 | — | 5 |
| 2026-09 | 3,627 | — | 4 |
| 2026-08 | 3,167 | +4.0% | 4 |
| 2026-07 | 3,044 | — | 4 |
| 2026-05 | 2,704 | — | 4 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: compound-engineering description: Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day. version: 1.0.0 author: lxgicstudios keywords: compound, learning, memory, automation, agents, clawdbot, improvement, knowledge --- # 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
```bash
# 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`:
```markdown
# 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:
```bash
# Add to clawdbot config or crontab
0 * * * * clawdbot cron run compound-hourly
```
### Nightly Review Job
Add this cron job to Clawdbot:
```json
{
"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)
```markdown
# 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)
```markdown
# 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:
```bash
# 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)
```xml
<!-- ~/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)
```bash
# 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](https://x.com/lxgicstudios)
---
**Built by LXGIC Studios**
- GitHub: [github.com/lxgicstudios/ai-compound](https://github.com/lxgicstudios/ai-compound)
- Twitter: [@lxgicstudios](https://x.com/lxgicstudios)
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。