---
name: research-and-review
description: Research an algorithm, then review performance and learning implications
---

## algorithm-researcher
output: algorithm-research.md
progress: true

Research this topic for zig-chess: {task}

Return a factual, cited algorithm explanation, tradeoffs, and suggested learning experiments. Do not write implementation code.

## optimization-reviewer
reads: algorithm-research.md
output: optimization-review.md
progress: true

Review the researched approach from a Zig performance, correctness, and rendering/chess-engine perspective.

Use the prior research as input: {previous}

Return measurement plans, optimization risks, and cited references. Do not write implementation code.

## zig-learning-mentor
reads: algorithm-research.md, optimization-review.md
output: learning-plan.md
progress: true

Turn the research and optimization review into a learning plan for an experienced Go/Python/C/Rust programmer learning Zig.

Use prior context: {previous}

Return exercises and study notes. Do not write implementation code.