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builder-core

Build and validate runnable technical artifacts for multi-agent workflows.

Updated Mar 9, 2026
Search Tags:#code generation#build#risk assessment#validate#artifact#technical implementation
One-click install
npx skills add https://github.com/yin52133/roleflow-agents --skill builder-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: builder-core
Source: https://github.com/yin52133/roleflow-agents/tree/main/skills/builder-core
Command: npx skills add https://github.com/yin52133/roleflow-agents --skill builder-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need for reliable creation and verification of technical artifacts within a multi-agent workflow, ensuring that implementations are functional and risks are clearly communicated.

Core Features & Use Cases

  • Artifact Generation: Translates requests into runnable code, configurations, or other technical outputs.
  • Validation: Verifies the correctness and functionality of the generated artifact.
  • Risk Assessment: Identifies and documents potential risks associated with the artifact.
  • Use Case: A developer needs to create a Python script to process user data. The builder-core skill will write the script, test it with sample data, and report any potential issues or edge cases before handing it back.

Quick Start

Use the builder-core skill to create a Python script that calculates the average of a list of numbers and validates its output.

Frequently Asked Questions about builder-core

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

FAQPage Schema
How do I generate and validate technical artifacts for multi-agent workflows?▼

To generate and validate technical artifacts, you translate task requests into runnable code or configurations, verify their functionality, and document potential risks before handing off the executable output.

What is the best way to ensure code generation produces runnable implementations?▼

Ensuring code generation produces runnable implementations requires a validation step that tests the generated artifact with sample data to verify correctness and identify edge cases before execution.

Can I use automated risk assessment for technical implementation handoffs?▼

Automated risk assessment for technical implementation handoffs identifies and documents potential risks associated with the generated artifact, ensuring edge cases and functionality issues are communicated clearly.

Does builder-core work for generating Python scripts and validating their output?▼

Builder-core works for generating Python scripts by writing the requested code, testing it with sample data, and validating the output to report potential issues or edge cases before returning the result.

How do I verify the correctness of generated technical configurations?▼

To verify the correctness of generated technical configurations, you validate the artifact's functionality after translating the request, ensuring the implementation is executable and risks are documented.

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