Overview
- Skill Key
- amangarg1999/ai-compound-1-0-1
- Author
- lxgicstudios
- Source Repo
- openclaw/skills
- Version
- 1.0.0
- Source Path
- skills/amangarg1999/ai-compound-1-0-1
- Latest Commit SHA
- 0b17c254ddc8738869a8c67405e0902aa6c0b005
Official OpenClaw
rules
54%
compound-engineering
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.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 compound-engineering 技能。 若已安装，则直接安装 compound-engineering 技能。
Extracted Content
SKILL.md excerpt
# 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...
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