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.pi/agents/research-and-review.chain.md

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+---
+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.