self-reflection
Continuous self-improvement through structured reflection and memory
Best use case
self-reflection is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Continuous self-improvement through structured reflection and memory
Teams using self-reflection should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/self-reflection/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How self-reflection Compares
| Feature / Agent | self-reflection | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Continuous self-improvement through structured reflection and memory
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 🪞 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
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