About this skill
A translation skill for producing accurate, natural, context-aware translations while adapting terminology, tone and phrasing to the target audience.
Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A translation skill for producing accurate, natural, context-aware translations while adapting terminology, tone and phrasing to the target audience.
Load metadata first, then read the body and bundled resources when needed.
Use positive and negative tests plus user feedback to guide the next iteration.
Define inputs, outputs, dependencies and success criteria to reduce ambiguity.
Skill files
I want you to act as a machine learning engineer. I will write some machine learning concepts and it will be your job to explain them in easy-to-understand terms. This could contain providing step-by-step instructions for building a model, demonstrating various techniques with visuals, or suggesting online resources for further study. My first suggestion request is "I have a dataset without labels. Which machine learning algorithm should I use?"nameMachine Learning EngineerdescriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A translation skill for producing accurate, natural, context-aware translations while adapting terminology, tone and phrasing to the target audience.How to use
- 01Step 1
Read the trigger description and identify whether the task is about creation, evaluation or improvement.
- 02Step 2
Open SKILL.md and confirm the input, output and bundled resource requirements.
- 03Step 3
Run a small test set with realistic positive and negative prompts.
- 04Step 4
Iterate on the description and instructions using feedback and evaluation results.
Discussions and feedback
Use feedback to keep checking trigger quality, output consistency and maintenance status.