shinka-setup
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.
When to Use
Invoke this skill when the user:
- Wants to optimize code with LLM-driven code evolution (Shinka/ShinkaEvolve)
- No
evaluate.pyandinitial.<ext>exist in the working directory
User Inputs
- Task description + success criteria
- Target language for
initial.<ext>(if omitted, default to Python) - What parts of the script to optimize
- Evaluation metric(s) and score direction
- Number of eval runs / seeds
- Required assets or data files
- Dependencies or constraints (runtime, memory)
More from sakanaai/shinkaevolve
shinka-run
Run existing ShinkaEvolve tasks with the `shinka_run` CLI from a task directory (`evaluate.py` + `initial.<ext>`). Use when an agent needs to launch async evolution runs quickly with required `--results_dir`, generation count, and strict namespaced keyword overrides.
109shinka-inspect
Load top-performing Shinka programs into agent context using `shinka.utils.load_programs_to_df`, and emit a compact Markdown bundle for iteration planning.
108shinka-convert
Convert an existing codebase in the current working directory into a ShinkaEvolve task directory by snapshotting the relevant code, adding evolve blocks, and generating `evaluate.py` plus Shinka runner/config files. Use when the user wants to optimize existing code with Shinka instead of creating a brand-new task from a natural-language description.
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