
Retrospective Agent (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Runs after every track completion to extract learnings. Analyzes what worked, what failed, and what patterns emerged. Updates conductor/knowledge/
Overview
Key features
- Track execution analysis
- Pattern extraction and documentation
- Error pattern identification and solutioning
- Skill improvement proposals
- Knowledge base updates
Pricing
- Model
- Free
- Category
- Skills
- Rating
- No reviews yet
Use cases
Post-Track Review
Run the Retrospective Agent after completing a track to extract learnings and update the knowledge base.
Workflow Optimization
Use the Retrospective Agent to identify areas for workflow improvement and propose skill updates.
Pros & Cons
Pros
- Automatically extracts learnings from completed tracks
- Updates knowledge base with new patterns and error solutions
- Proposes workflow improvements based on track execution data
- Enhances future track planning with historical insights
Cons
- May require manual review of extracted patterns and errors
- Limited to analyzing data from completed tracks
- Effectiveness depends on quality of track execution data
Reviews
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Q&A
Can I use this alongside other Claude Code plugins?
Yes. SupaConductor uses the /orchestrator-supaconductor: namespace and doesn't conflict with any other plugins, built‑in commands, or MCP servers.
Asked by Jamal Carter · Apr 9, 2026
Is this overkill for small tasks?
For a quick one‑file fix — yes, just use Claude Code directly. Use SupaConductor when the work touches three or more files, you’d normally plan before coding, you want automated quality checks, or you want the work done right the first time. You can also use individual commands without the full loop.
Asked by Bilal Choudhury · Mar 22, 2026
Does this work with Cursor, Windsurf, or other AI tools?
No — SupaConductor is a Claude Code plugin that requires Claude Code's plugin system (agents, skills, slash commands, hooks). However, the conductor/ directory it creates is just Markdown files. Any AI tool can read them, so you can switch tools later and keep your specs, plans, and documentation.
Asked by Quyen Tran · Mar 8, 2026
How much of my context window does this use?
Skills use progressive disclosure — only ~100 tokens each for metadata. Full instructions load only when activated (typically under 5,000 tokens each). The 39 skills are not loaded all at once. Agents run as separate conversations with their own context windows, so they don't fill up your main conversation. Approximate usage: Orchestrator ~4,000 tokens (active during /go); Planner ~3,000 tokens (during planning); Evaluator ~2,500 tokens each (only when active); Board meeting ~5,000 tokens (on‑demand); Idle ~500 tokens (between steps).
Asked by Renata Silva · Feb 28, 2026
How much does this cost in API credits?
SupaConductor uses the same Claude API as normal Claude Code — it just structures the work more carefully. Because it runs multiple agents (planning, execution, evaluation), it uses roughly 3‑5× the API calls compared to doing everything manually in one conversation. SupaConductor optimizes costs automatically: it uses Opus (the most capable model) for planning and evaluation, and Sonnet (faster, cheaper) for execution tasks. Ways to reduce cost: use /orchestrator-supaconductor:implement if you write specs yourself, skip board meetings for small features (they're opt‑in), or use human‑in‑the‑loop mode to stay in control of scope.
Asked by Diego Fernández · Feb 24, 2026
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