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dataset-skill-creator

Convert dataset analysis bundles into reusable Codex skills with SKILL.md and validation.

2|Updated Apr 12, 2026
Search Tags:#automation#validation#references#dataset#skill-generation#analysis-bundle#ctoX
One-click install
npx skills add https://github.com/metric-space-ai/ctox --skill dataset-skill-creator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dataset-skill-creator
Source: https://github.com/metric-space-ai/ctox/tree/main/skills/system/skill_meta/dataset-skill-creator
Command: npx skills add https://github.com/metric-space-ai/ctox --skill dataset-skill-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Turn a dataset or dataset-derived analysis bundle into a durable, reusable Codex skill that CTOX can promote and reuse across tasks, instead of leaving the result as raw knowledge bundles or one-off summaries.

Core Features & Use Cases

  • Promotes durable, reusable artifacts (SKILL.md, references, and validation) from analysis results.
  • Promotes only the right artifacts (durable references, deterministic scripts, templates) and leaves behind noisy data.
  • Supports validation of the generated skill and ensures it reads like a user-facing capability.
  • Use cases include turning historical dataset findings into a complete, shippable skill for future CTOX runs.

Quick Start

Provide an analysis bundle and run the dataset-skill-creator to generate a complete reusable skill folder with SKILL.md, references, and openai.yaml.

Frequently Asked Questions about dataset-skill-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn a dataset analysis bundle into a reusable skill?▼

To turn a dataset analysis bundle into a reusable skill, provide the bundle to the creator which generates a complete skill folder containing SKILL.md, references, and validation files. This promotes durable artifacts into a shippable skill for future tasks.

What artifacts are promoted when generating a skill from a dataset?▼

Skill generation promotes durable artifacts like deterministic scripts, references, and templates. It filters out noisy raw data, ensuring only reusable references and validation files are kept in the final shippable skill folder.

Can I validate the generated dataset skill before using it?▼

Yes, validation is enforced during the skill generation process. The creator ensures the generated skill passes validation and reads like a user-facing capability, providing a ready-to-use and verified output for future runs.

Do I need to prepare my dataset analysis bundle before skill creation?▼

You need to provide a complete dataset analysis bundle as input. The creator processes this bundle directly to extract durable references and scripts, building a ready-to-use skill without requiring manual artifact separation.

What is the best way to package dataset findings for future automated tasks?▼

The best way to package dataset findings is to convert them into a durable skill with SKILL.md and openai.yaml. This approach transforms one-off summaries into reusable capabilities that can be promoted and reused across tasks.

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