xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Continuous self-improvement through structured reflection and memory
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install hopyky/self-reflection打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
A skill for continuous self-improvement. The agent tracks mistakes, lessons learned, and improvements over time through regular heartbeat-triggered reflections.
# Check if reflection is needed
self-reflection check
# Log a new reflection
self-reflection log "error-handling" "Forgot timeout on API call" "Always add timeout=30"
# Read recent lessons
self-reflection read
# View statistics
self-reflection stats
Heartbeat (60m) → Agent reads HEARTBEAT.md → Runs self-reflection check
│
┌─────────┴─────────┐
▼ ▼
OK ALERT
│ │
Continue Reflect
│
┌─────────┴─────────┐
▼ ▼
read log
(past lessons) (new insights)
| Command | Description |
|---|---|
check [--quiet] |
Check if reflection is due (OK or ALERT) |
log <tag> <miss> <fix> |
Log a new reflection |
read [n] |
Read last n reflections (default: 5) |
stats |
Show reflection statistics |
reset |
Reset the timer |
Enable heartbeat in ~/.openclaw/openclaw.json:
{
"agents": {
"defaults": {
"heartbeat": {
"every": "60m",
"activeHours": { "start": "08:00", "end": "22:00" }
}
}
}
}
Add to your workspace HEARTBEAT.md:
## Self-Reflection Check (required)
Run `self-reflection check` at each hea...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
A continuous self-improvement skill for AI agents. Track mistakes, log lessons learned, and build institutional memory over time.
AI agents make mistakes. Without memory, they repeat them. This skill creates a structured feedback loop where agents regularly pause, reflect on their performance, and document learnings.
"The only real mistake is the one from which we learn nothing."
— Henry Ford
┌─────────────────────────────────────────────────────────────────────┐
│ OPENCLAW GATEWAY │
├─────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ Heartbeat ┌──────────────────────────────┐ │
│ │ │ (every 60m) │ │ │
│ │ AGENT │ ───────────────► │ HEARTBEAT.md │ │
│ │ │ │ └─► "self-reflection check" │ │
│ │ │ │ │ │
│ └──────┬──────┘ └──────────────────────────────┘ │
│ │ │
│ │ executes │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ SELF-REFLECTION SKILL │ │
│ ├─────────────────────────────────────────────────────────────┤ │
│ │ │ │
│ │ $ self-reflection check │ │
│ │ │ │ │
│ │ ▼ │ │
│ │ ┌─────────────┐...
# 🪞 Self-Reflection
A skill for continuous self-improvement. The agent tracks mistakes, lessons learned, and improvements over time through regular heartbeat-triggered reflections.
## Quick Start
```bash
# Check if reflection is needed
self-reflection check
# Log a new reflection
self-reflection log "error-handling" "Forgot timeout on API call" "Always add timeout=30"
# Read recent lessons
self-reflection read
# View statistics
self-reflection stats
```
## How It Works
```
Heartbeat (60m) → Agent reads HEARTBEAT.md → Runs self-reflection check
│
┌─────────┴─────────┐
▼ ▼
OK ALERT
│ │
Continue Reflect
│
┌─────────┴─────────┐
▼ ▼
read log
(past lessons) (new insights)
```
## Commands
| Command | Description |
|---------|-------------|
| `check [--quiet]` | Check if reflection is due (OK or ALERT) |
| `log <tag> <miss> <fix>` | Log a new reflection |
| `read [n]` | Read last n reflections (default: 5) |
| `stats` | Show reflection statistics |
| `reset` | Reset the timer |
## OpenClaw Integration
Enable heartbeat in `~/.openclaw/openclaw.json`:
```json
{
"agents": {
"defaults": {
"heartbeat": {
"every": "60m",
"activeHours": { "start": "08:00", "end": "22:00" }
}
}
}
}
```
Add to your workspace `HEARTBEAT.md`:
```markdown
## Self-Reflection Check (required)
Run `self-reflection check` at each hea...# 🪞 Self-Reflection
A continuous self-improvement skill for AI agents. Track mistakes, log lessons learned, and build institutional memory over time.
## Why?
AI agents make mistakes. Without memory, they repeat them. This skill creates a structured feedback loop where agents regularly pause, reflect on their performance, and document learnings.
```
"The only real mistake is the one from which we learn nothing."
— Henry Ford
```
## Architecture
```
┌─────────────────────────────────────────────────────────────────────┐
│ OPENCLAW GATEWAY │
├─────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ Heartbeat ┌──────────────────────────────┐ │
│ │ │ (every 60m) │ │ │
│ │ AGENT │ ───────────────► │ HEARTBEAT.md │ │
│ │ │ │ └─► "self-reflection check" │ │
│ │ │ │ │ │
│ └──────┬──────┘ └──────────────────────────────┘ │
│ │ │
│ │ executes │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ SELF-REFLECTION SKILL │ │
│ ├─────────────────────────────────────────────────────────────┤ │
│ │ │ │
│ │ $ self-reflection check │ │
│ │ │ │ │
│ │ ▼ │ │
│ │ ┌─────────────┐...X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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