1.0 KiB
name, description
| name | description |
|---|---|
| research-and-review | 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.