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Configuration framework for complex applications (Hydra). Dynamic hierarchical configuration by composition and override via CLI, YAML, and structured configs.
Passed 21 of 22 test cases with the skill, and 20 of 22 without it.
and 1 more in the full report
2 fixed19 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
I'm writing a Hydra configuration and want to reference an environment variable `DATA_PATH`, falling back to `/default/path` if it's not set. What is the exact YAML syntax using the built-in resolver for this?
| Checked | Without skill | With skill |
|---|---|---|
| Uses ${oc.env:DATA_PATH,/default/path} | Missed | Passed |
The instructions your model reads when the skill loads.
Hydra is a configuration framework that dynamically creates hierarchical configurations through composition and override. It eliminates hardcoded paths and config files scattered across projects. Use this skill for managing complex ML experiment configurations, multi-environment deployments, hyperparameter sweeps, and reproducible research workflows.
This skill should be used when:
pip install hydra-core --upgrade
Directory structure:
conf/
config.yaml
db/
mysql.yaml
postgresql.yaml
my_app.py
conf/config.yaml:
defaults:
test cases passed, vs 20 / 22 without
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