drf-reviewer

Review .txt business drafts to validate content and remove unsupported inferences.

Updated Mar 22, 2026

Search Tags:#workflow #review #draft #product-owner #content-quality #human-escalation #inference-elimination

Ready to run

npx skills add https://github.com/fabioabr/rag-blueprint --skill drf-reviewer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: drf-reviewer
Source: https://github.com/fabioabr/rag-blueprint/tree/main/src/.claude/skills/drf-reviewer
Command: npx skills add https://github.com/fabioabr/rag-blueprint --skill drf-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Este Skill atua como revisor de conteúdo de negócio para drafts (.txt), validando conteúdo, eliminando inferências e avaliando qualidade para manter a integridade de pipelines de conhecimento corporativo.

Core Features & Use Cases

Validação de conteúdo: verifica se o rascunho está correto, completo e alinhado com o projeto.
Eliminação de inferências: identifica inferências e substitui por informações factuais.
Escalada para humano: encaminha itens que não podem ser resolvidos pelo bot para revisão humana.
Avaliação de qualidade: avalia a qualidade do trabalho do /drf-writer e do draft.

Quick Start

Analise o rascunho alvo e identifique inferências, substituindo-as por fatos sempre que possível.

Frequently Asked Questions about drf-reviewer

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

FAQPage Schema

How do I eliminate unsupported inferences from business draft content?▼

To eliminate inferences from business drafts, review the target .txt file to identify unsupported statements and replace them with factual information, escalating unresolved items to a human product owner for final decision.

What is inference elimination in corporate knowledge pipelines?▼

Inference elimination in corporate knowledge pipelines is the validation process of identifying unsupported conclusions in drafts and substituting them with verified facts to maintain content quality and integrity.

How do I validate content accuracy in a .txt draft for a product-owner review?▼

Validate content accuracy in a .txt draft by checking frontmatter requirements, confirming alignment with project scope, and documenting any unresolved inference items for human escalation during the product-owner review process.

Can I automate draft review and escalate unresolved content issues to humans?▼

Yes, you can automate draft review to evaluate content quality and automatically escalate items that cannot be resolved by the system to human reviewers, documenting them for manual decision.

Does the draft review process enforce frontmatter requirements for business drafts?▼

Yes, the draft review process enforces frontmatter requirements on business drafts to ensure structural compliance before proceeding with content validation and inference elimination workflows.

When should I escalate draft items instead of replacing inferences with facts?▼

You should escalate draft items to humans when the review process identifies inferences that cannot be confidently resolved or replaced with factual information, ensuring human decision for unresolved content.