self-reflection

$npx mdskill add aAAaqwq/AGI-Super-Team/self-reflection

Reflects on past errors to prevent future mistakes.

  • Identifies recurring issues and applies learned fixes.
  • Depends on heartbeat triggers and HEARTBEAT.md files.
  • Compares current state against stored lessons.
  • Logs structured entries with error context and solutions.

SKILL.md

.github/skills/self-reflectionView on GitHub ↗
---
name: self-reflection
description: Continuous self-improvement through structured reflection and memory
version: 1.1.1
metadata: {"openclaw":{"emoji":"🪞","requires":{"bins":["jq","date"]}}}
---

# 🪞 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 heartbeat.
If ALERT: read past lessons, reflect, then log insights.
```

## Configuration

Create `~/.openclaw/self-reflection.json`:

```json
{
  "threshold_minutes": 60,
  "memory_file": "~/workspace/memory/self-review.md",
  "state_file": "~/.openclaw/self-review-state.json",
  "max_entries_context": 5
}
```

## Author

Created by [hopyky](https://github.com/hopyky)

## License

MIT

More from aAAaqwq/AGI-Super-Team

SkillDescription
a-fund-monitor监控 A 股基金实时估值与盘后净值,自动判断交易日并生成提醒或分析。
add-leadAdd company/person/relationship to CRM
ads-agentAI-агент для управления Facebook рекламой. Вызывай для анализа, оптимизации, создания кампаний и отчётов.
afrexai-compliance-auditRun internal compliance audits against major governance and security
afrexai-personal-financeComplete personal finance system — budgeting, debt payoff, investing, tax optimization, net worth tracking, and financial independence planning. Use when managing money, building wealth, paying off debt, planning retirement, or optimizing taxes. Zero dependencies.
after-salesUse when managing post-purchase experience, building customer loyalty, or increasing repeat purchases
agent-contactsAI agent contacts — add, list, remove MCP contacts. Use when someone gives an agent URL, or when you need to view/remove contacts.
agent-model-switcher批量查看和切换子 agent 的模型配置,用于统一调整多 agent 的 provider/model 设置。
agent-patternsFormat SPAWN REQUEST messages to launch parallel agents, generate structured agent status reports, and define communication protocols within the sprint system. Use when the user needs to coordinate multiple agents, format spawn requests, produce agent reports, or establish inter-agent communication patterns.
agent-task-confirmUse when confirming whether a dispatched agent task was actually received, activated, and progressing after sessions_send or other task handoff actions.