From agi-super-team
Tracks mistakes and lessons learned through structured reflection. Automatically prompts via heartbeat to log insights and review past lessons for continuous improvement.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agi-super-team:self-reflectionThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A skill for continuous self-improvement. The agent tracks mistakes, lessons learned, and improvements over time through regular heartbeat-triggered reflections.
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 heartbeat.
If ALERT: read past lessons, reflect, then log insights.
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
}
Created by hopyky
MIT
npx claudepluginhub aaaaqwq/agi-super-team --plugin agi-super-teamTracks mistakes and lessons learned through structured reflection. Automatically prompts via heartbeat to log insights and review past lessons for continuous improvement.
Reflects on recent work, scans SHELL.md for patterns, and proposes improvements. Useful for periodic code quality and process reflection.
Evaluates its own work, catches mistakes, and improves permanently through self-reflection, self-criticism, and self-organizing memory. Use before starting work and after responding to the user.