featbit-skills-evaluation-test-builder

Generate reusable evaluation test collections with metadata and QA guidance for FeatBit Skills.

11|1|Updated Jan 27, 2026
One-click install
npx skills add https://github.com/featbit/featbit-skills --skill featbit-skills-evaluation-test-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: featbit-skills-evaluation-test-builder
Source: https://github.com/featbit/featbit-skills/tree/main/.claude/skills/featbit-skils-builder/evaluator-testing-collection
Command: npx skills add https://github.com/featbit/featbit-skills --skill featbit-skills-evaluation-test-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designing and validating FeatBit Skills evaluation tests is time-consuming and prone to inconsistency. This Skill standardizes the process to generate complete, reproducible test collections with defined prompts, evaluation criteria, and metadata.

Core Features & Use Cases

  • Structured test item templates for consistent quality across skills
  • Multiple task types including text-comparison, value-comparison, code-structure-validation, integration-test-validation, and contextual-reasoning
  • End-to-end test collection generation for new and updated FeatBit Skills across languages and deployment contexts
  • Quality assurance workflow: validation, peer review, and documentation alignment

Quick Start

Provide a complete evaluation test collection metadata for a new FeatBit Skill.

Frequently Asked Questions about featbit-skills-evaluation-test-builder

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

FAQPage Schema
How do I generate a standardized evaluation test collection for QA automation?

To generate an evaluation test collection for QA automation, provide your skill details to produce a complete, reusable YAML metadata structure with test item schemas, prompts, and validation criteria.

What types of test items are supported for skill evaluation?

Supported evaluation test items include text-comparison, value-comparison, code-structure-validation, integration-test-validation, and contextual-reasoning to ensure comprehensive QA coverage.

How do I structure test metadata for a new FeatBit Skill?

Structure test metadata by generating a YAML-friendly format that includes defined metadata fields, test item schemas, and QA guidance suitable for direct ingestion by the Skill platform.

Does the evaluation test builder work across different deployment contexts?

Yes, the evaluation test builder defines scope across skill types and deployment considerations, ensuring broad applicability and consistent quality assurance for various languages and environments.

What is the best way to validate and review generated skill test collections?

The best way to validate test collections is through a quality assurance workflow that includes validation, peer review, and documentation alignment to ensure reproducible and accurate evaluation results.