**ultrathink** - Take a deep breath. We're not here to write code. We're here to make a dent in the universe.
Scanned 2/12/2026
Install to Claude Code
npx -y skills add alfredolopez80/multi-agent-ralph-loop --skill retrospective --agent claude-codeInstalls into .claude/skills of the current project.
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# VERSION: 2.43.0
# Skill: Retrospective & Self-Improvement
**ultrathink** - Take a deep breath. We're not here to write code. We're here to make a dent in the universe.
## The Vision
Every retrospective should make the system inevitable and better.
## Your Work, Step by Step
1. **Summarize outcomes**: Task, complexity, iterations, models.
2. **Analyze effectiveness**: Routing, clarification, and agents.
3. **Identify gaps**: Missed checks or friction.
4. **Propose improvements**: Concrete, minimal changes.
## Ultrathink Principles in Practice
- **Think Different**: Question the status quo.
- **Obsess Over Details**: Use evidence, not guesses.
- **Plan Like Da Vinci**: Structure feedback before writing.
- **Craft, Don't Code**: Keep recommendations actionable.
- **Iterate Relentlessly**: Apply learnings immediately.
- **Simplify Ruthlessly**: Focus on the few changes that matter.
## Purpose
Analyze completed tasks to improve the Ralph Wiggum system.
## When to Use
MANDATORY after every task completion, before declaring VERIFIED_DONE.
## Analysis Categories
### 1. Routing Effectiveness
- Was the complexity classification accurate?
- Did the chosen model perform well?
- Should routing thresholds change?
### 2. Clarification Quality
- Were the right questions asked?
- Did any missed clarifications cause rework?
- Should question templates be updated?
### 3. Agent Performance
- Which subagents were most useful?
- Any agents that didn't add value?
- New agent patterns needed?
### 4. Quality Gate Effectiveness
- Did gates catch real issues?
- Any false positives/negatives?
- Missing validations?
### 5. Iteration Efficiency
- How many iterations were used?
- Could it have been done faster?
- Any wasted iterations?
## Output Format
```markdown
## 📊 Task Retrospective
### Summary
- Task: [description]
- Complexity: [classified] → [actual]
- Iterations: [used] / [limit]
- Models: [list used]
### What Went Well
- [positive 1]
- [positive 2]
### Improvement Opportunities
1. **[Category]**: [description]
- Current: [what happens now]
- Proposed: [improvement]
- Impact: [low/medium/high]
- Risk: [low/medium/high]
### Proposed Changes
```json
{
"type": "routing_adjustment|clarification_enhancement|agent_behavior|new_command|delegation_update|quality_gate",
"file": "[path to modify]",
"change": "[description]",
"justification": "[why]"
}
```
```
## Improvement Types
| Type | Example |
|------|---------|
| routing_adjustment | Change complexity thresholds |
| clarification_enhancement | Add new question templates |
| agent_behavior | Modify agent instructions |
| new_command | Create new slash command |
| delegation_update | Change model assignments |
| quality_gate | Add/modify validations |

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