Launch ShinkaEvolve batch runs via shinka_run CLI with validated task directories.
npx skills add https://github.com/nhatnguyen1122/shinka --skill shinka-run-nhatnguyen1122
Please help me install this Agent Skill. Skill: shinka-run Source: https://github.com/nhatnguyen1122/shinka/tree/main/skills/shinka-run Command: npx skills add https://github.com/nhatnguyen1122/shinka --skill shinka-run-nhatnguyen1122
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.
Launch a batch evolution by pointing the CLI to your task directory and desired results directory, e.g., shinka_run --task-dir <task_dir> --results_dir <results_dir> --num_generations 40.
High-intent search queries and answers about installing and using this skill.
To run ShinkaEvolve tasks, point the shinka_run CLI to your prepared task directory containing evaluate.py and initial.* files, then specify the results directory and generation count to launch asynchronous evolution experiments.
Launching an evolutionary algorithm batch run requires a task directory containing both an evaluate.py script and an initial.* file, which the system validates before orchestrating the evolution experiment.
Yes, you can configure generation count and output directory for automated evolution runs by passing explicit parameters like --num_generations and --results_dir to the task runner CLI.
You ensure reproducible results by using explicit --set properties for namespaced keyword overrides, defining strict results directories, and specifying generation counts when launching batch evolution runs.
Your batch evolution run fails before starting if the task directory lacks the required evaluate.py script or initial.* file, as the system validates task readiness before launching any orchestration.
The best way to automate multiple evolutionary algorithm experiments quickly is using a CLI task runner that validates directory readiness and orchestrates asynchronous batch runs with explicit configuration overrides.
SakanaAIExecute batch evolution tasks via the ShinkaEvolve CLI with explicit run arguments.
j0KZExtract and analyze competitor ads from Facebook, LinkedIn, TikTok, and Google ad libraries.
nhatnguyen1122Generate evaluate.py and initial.<ext> scaffolds for ShinkaEvolve tasks.
haitao2016Implement genetic algorithms for game content generation and NPC AI evolution.
