Task Retrospective

Conduct structured self-evaluations after tasks to analyze efficiency, accuracy, approach quality, and extract patterns for improved future performance.

Structured self-evaluation for AI agents after completing tasks. Analyze what worked, what failed, and extract reusable patterns to improve future performance. Use after completing complex tasks, debugging sessions, or multi-step workflows.

Usage

Run a retrospective on the task I just completed.

Or with specific context:

Retrospective: [task description]. 
Outcome: [success/partial/failure].
Time spent: [duration].
What surprised me: [unexpected findings].

How It Works

1. Reconstruct — review the task timeline (steps taken, tools used, decisions made)
2. Evaluate — score each phase on efficiency, accuracy, and approach quality
3. Extract — identify reusable patterns, anti-patterns, and decision heuristics
4. Record — generate a structured retrospective for future reference

Evaluation Dimensions

Efficiency

• Were there unnecessary steps or dead ends?
• Could tool calls have been batched or parallelized?
• Was the research phase too long or too short?

Accuracy

• Was the final output correct and complete?
• Were there false starts or incorrect assumptions?
• Did the solution match the actual requirements?

Approach Quality

• Was the problem decomposition effective?
• Were the right tools chosen for each step?
• Would a different strategy have been faster?

Learning Extracted

• What new patterns can be reused?
• What anti-patterns should be avoided?
• What domain knowledge was gained?

Output Format

## Task Retrospective

### Summary
[1-2 sentences: what was the task, what was the outcome]

### Timeline
| Phase | Duration | Verdict |
|-------|----------|---------|
| Research | Xm | Efficient / Too long / Insufficient |
| Planning | Xm | Good / Skipped / Over-planned |
| Execution | Xm | Clean / Had rework / Multiple attempts |
| Validation | Xm | Thorough / Skipped / Caught issues |

### What Worked
- [Pattern that should be repeated]

### What Didn't Work
- [Anti-pattern to avoid] → [Better alternative]

### Reusable Patterns
- **Pattern name**: [Description of when and how to apply]

### Key Decisions
- [Decision point] → [Choice made] → [Outcome: good/bad/neutral]

### Improvement Actions
- [ ] [Specific action to improve future performance]

Advanced Usage

Compare Approaches

Compare my approach to [task] with the ideal approach. 
What I did: [steps].
What I should have done: [if known].

Pattern Library

Over time, retrospectives build a pattern library:

Review my last 5 retrospectives. What recurring patterns emerge?
Which improvement actions have I actually followed through on?

Team Retrospective

Run a retrospective on this multi-agent workflow.
Agents involved: [list].
Handoff points: [where work transferred between agents].
Bottlenecks: [where things slowed down].