ibrahim-3d/conductor-orchestrator-superpowers/retrospective-agent
Claude Code and agent skill by ibrahim-3d/conductor-orchestrator-superpowers
- community
Checking that the SKILL.md file is still in the repository.
Runs after every track completion to extract learnings. Analyzes what worked, what failed, and what patterns emerged. Updates conductor/knowledge/patterns.md with new solutions and errors.json with new error patterns. Proposes skill updates if workflow improvements are identified. Triggered automatically by orchestrator after COMPLETE step.
Install
npx vskill@latest install ibrahim-3d/conductor-orchestrator-superpowers/retrospective-agentSKILL.md
Retrospective Agent — Post-Track Learning
Extracts learnings from completed tracks and updates the knowledge base, making every future track smarter.
When This Runs
Automatically — The orchestrator calls this agent AFTER a track reaches COMPLETE status.
Inputs
- Track's plan.md — All tasks, including fix cycles
- Track's metadata.json — Fix cycle count, lead consultations, blockers
- Track's commits — What was actually built
- Track's spec.md — Original requirements (to measure alignment)
Workflow
1. Analyze Track Execution
Review the track's execution data:
2. Extract Patterns
Look for reusable solutions in the completed work:
Pattern Candidates:
- Solutions that required multiple iterations to get right
- Code structures that were repeated across tasks
- Approaches that prevented anticipated problems
- Integrations that worked particularly well
Pattern Template:
3. Extract Error Patterns
Look for errors that were fixed during the track:
Error Candidates:
- Errors that appeared in fix cycles
- Errors that blocked progress
- Errors with non-obvious solutions
- Errors likely to recur in similar work
Error Template:
4. Identify Skill Improvements
Check if the track revealed workflow issues:
Questions to Ask:
- Did any step take longer than expected? Why?
- Were there repeated back-and-forth fix cycles?
- Did evaluators miss issues that appeared later?
- Were lead consultations helpful or did they escalate unnecessarily?
- Did the plan have gaps the executor discovered?
Improvement Candidates:
- Evaluator checklist additions
- Planner prompt enhancements
- New lead authority grants
- Workflow step modifications
5. Update Knowledge Base
Update patterns.md
Append new patterns to the appropriate category section:
[code]
Update errors.json
Add new error patterns:
6. Create Track Retrospective
write_file a retrospective file for the track:
Location: conductor/tracks/[track-id]/retrospective.md
Output Format
The Retrospective Agent returns:
Integration with Orchestrator
The orchestrator triggers retrospective after completion:
Skip Conditions
Skip retrospective if:
- Track had 0 fix cycles AND 0 lead consultations (nothing notable to learn)
- Track was trivial (< 3 tasks)
- Track was documentation-only
Learning Priorities
Prioritize extracting learnings about:
- High-value patterns — Solutions that took multiple attempts to get right
- Recurring errors — Errors similar to ones we've seen before
- Process friction — Steps that caused unnecessary delay
- Lead decisions — Whether lead consultations were helpful
Continuous Improvement
Over time, the knowledge base grows:
- More patterns → Faster planning (reuse solutions)
- More errors → Faster fixing (known solutions)
- Skill improvements → Better workflows
The goal: Every track makes the next track easier.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/knowledge/retrospective-agent/SKILL.md
Popularity
- Repository stars
- 342
- Repository forks
- 35
- 7-day trend score
- 29
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 2 May 2026, 6 months ago.
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