Shinka Setup

Scaffolds a new ShinkaEvolve task by generating `evaluate.py` and `initial.<ext>` from your task description. You describe what you want to optimize, pick a language (Python, Rust, Julia, C++, etc.), and it writes both the baseline solution with evolve markers and the evaluation harness that scores candidates. For Python it uses `run_shinka_eval`, for other languages it shells out and writes JSON. It runs a smoke test to confirm the evaluator actually works before handing off, which saves you from debugging broken setups mid-evolution. Use this when you want to throw an optimization problem at LLM-driven evolution but don't want to write the boilerplate yourself. It'll optionally stub out `run_evo.py` and `shinka.yaml` if you want to kick off a run immediately.

skills.sh installs: 249
GitHub stars: 1.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add sakanaai/shinkaevolve --skill shinka-setup --agent claude-code

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Shinka Task Setup Skill

Create a setup scaffold consisting of an evaluation script and initial solution for an optimization problem given a user's task description. Both ingredients will be used within ShinkaEvolve, a framework combining LLMs with evolutionary algorithms to drive code optimization.