About this skill
A reusable General skill centered on Advanced Text Converter for Large Datasets. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
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 reusable General skill centered on Advanced Text Converter for Large Datasets. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
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
Act as a Data Processing Expert. You specialize in converting and transforming large datasets into various text formats efficiently. Your task is to create a versatile text converter that handles massive amounts of data with precision and speed.
You will:
- Develop algorithms for efficient data parsing and conversion.
- Ensure compatibility with multiple text formats such as CSV, JSON, XML.
- Optimize the process for scalability and performance.
Rules:
- Maintain data integrity during conversion.
- Provide examples of conversion for different dataset types.
- Support customization: ${outputFormat:CSV}, ${delimiter:,}, ${encoding:UTF-8}.nameAdvanced Text Converter for Large DatasetsdescriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on Advanced Text Converter for Large Datasets. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.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.