AlphaMoatによると、2026-10時点でAi Compound 1.0.1のダウンロード数は6,052、スター数は5で、累計ダウンロード数で今回のランキング対象AIスキル5,109件中2,265位、AIエージェントでは987件中429位です。
一覧の初期表示は累計ダウンロード数順で、スター数順にも並べ替えできます。詳細ページの順位は累計ダウンロード数で計算しています。
| プラットフォーム | ダウンロード数 | スター数 | コメント |
|---|---|---|---|
| ClawHub ↗ | 3387 | 4 | - |
| SkillHub ↗ | 6052 | 5 | — |
プラットフォームごとに集計方法と集計時点が異なります。
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.
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-10 | 6052 | — | 5 |
| 2026-09 | 3627 | — | 4 |
| 2026-08 | 3167 | +4.0% | 4 |
| 2026-07 | 3044 | — | 4 |
| 2026-05 | 2704 | — | 4 |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 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)
開発中の学び、エラー、訂正を Markdown ファイルに記録し、再利用やワークスペースの記憶への昇格に備えます。
やりたいことを自然文で伝えると、ローカルとリモートのカタログからスキルを探して推薦するスキルです。
AI エージェント向けのブラウザ自動化コマンドラインスキルです。
利用者の訂正と自己点検を層構造の記憶に蓄え、使われ方に応じて昇格や保管を行うスキルです。
AI エージェントの先回り、作業記憶、振り返りの手順を計画するためのワークスペース設定ガイドです。
効果的な Claude スキルの作成・更新ガイドです。
第三者のスキルを入れる前に、出所と権限と危険な作りを手順に沿って調べるスキルです。
エージェントの記憶とスキル間の状態を、型と制約を持つ知識グラフとして保存するスキルです。
データ月:2026-10 · ダウンロード数とスター数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。