gemini-harness-builder

Orchestrate end-to-end porting, integration, and QA for LangGraph+Gemini Harness projects.

7|Updated Apr 19, 2026

Search Tags:#automation #qa #orchestration #langgraph #gemini #harness #porting

Ready to run

npx skills add https://github.com/namojo/gemini-harness --skill gemini-harness-builder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gemini-harness-builder
Source: https://github.com/namojo/gemini-harness/tree/main/.claude/skills/gemini-harness-builder
Command: npx skills add https://github.com/namojo/gemini-harness --skill gemini-harness-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gemini-Harness 프로젝트(revfactory/harness v1.2.0의 LangGraph+Gemini 포트)의 설계·구현·통합·검증을 전문가 팀으로 수행하는 오케스트레이터. LangGraph 런타임 작성(harness_runtime.py), workflow.json 스키마 설계, Gemini CLI(v0.28.0+) 통합, gemini-3.1-pro-preview API 래핑, 메타 에이전트/스킬 템플릿 설계, 6 아키텍처 패턴 포트, self-critique 루프 구현, 통합 QA 등 본 프로젝트 관련 작업에 반드시 이 스킬을 사용. 후속 작업(다시 실행, 부분 수정, 재검증, workflow.json 스키마만 수정, 특정 에이전트만 재호출, 이전 결과 개선, 업데이트, 보완, 원본 하네스 재동기화)에도 이 스킬을 사용. 단순 개념 질문(LangGraph란?)은 제외.

Core Features & Use Cases

포트 설계·구현·통합·검증을 전문가 팀으로 수행하는 오케스트레이션 파이프라인
LangGraph 런타임 작성 및 workflow.json 스키마 설계, Gemini CLI 통합 등 포트의 핵심 구성요소 작업
ADR, 스키마 검토, self-critique 루프 및 통합 QA를 포함한 전체 워크플로우 관리
후속 작업 재실행, 부분 수정, 재검증, 원본 하네스 재동기화 등 지속적 포트 관리 사용 사례

Quick Start

Provide a project brief to initialize the orchestration workflow for Gemini Harness porting and QA.

Frequently Asked Questions about gemini-harness-builder

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

FAQPage Schema

How do I orchestrate a LangGraph and Gemini harness porting workflow end to end?▼

To orchestrate a LangGraph and Gemini harness porting workflow, provide a project brief to initialize a pipeline that coordinates design, implementation, integration, and verification across multiple expert roles. This orchestrates the entire porting process automatically.

What does a self-critique QA loop involve when porting LangGraph harnesses?▼

A self-critique QA loop for LangGraph harness porting involves automated verification stages that evaluate the ported implementation against requirements. This ensures robust integration and validation through continuous self-assessment before finalizing the workflow.

Can I use this to design workflow schemas and integrate Gemini CLI for my porting project?▼

Yes, you can design workflow.json schemas and integrate Gemini CLI using this orchestration workflow. It supports writing LangGraph runtimes, wrapping Gemini APIs, and managing schema validations as core components of the port.

How do I manage partial modifications and re-verification for an existing Gemini harness?▼

To manage partial modifications and re-verification for a Gemini harness, rerun the orchestrator with your updated requirements. It handles partial updates, targeted agent re-invocations, and result improvements while maintaining workflow schema alignment.

Do I need Architecture Decision Records for Gemini harness integration and QA?▼

Yes, Architecture Decision Records are generated as part of the Gemini harness integration and QA workflow. The orchestrator enforces ADR creation and schema validations to ensure robust documentation and architectural consistency throughout the porting lifecycle.

What are the limitations of using orchestration for LangGraph and Gemini port initiatives?▼

The orchestration for LangGraph and Gemini port initiatives is limited to active porting, integration, and QA tasks. It does not handle simple conceptual questions like explaining what LangGraph is, focusing strictly on end-to-end implementation and verification workflows.