Agent skill
self-reflection
Continuous self-improvement through structured reflection and memory
Install this agent skill to your Project
npx add-skill https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/self-reflection
Metadata
Additional technical details for this skill
- openclaw
-
{ "emoji": "\ud83e\ude9e", "requires": { "bins": [ "jq", "date" ] } }
SKILL.md
🪞 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
# 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:
{
"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 heartbeat.
If ALERT: read past lessons, reflect, then log insights.
Configuration
Create ~/.openclaw/self-reflection.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
License
MIT
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