negation-prose

Enforce local brain searches before external web queries in research workflows.

Updated Jun 10, 2026
One-click install
npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill negation-prose-starlink-awaken
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: negation-prose
Source: https://github.com/starlink-awaken/omostation-gbrain/tree/main/test/fixtures/brain-first-skills/negation-prose
Command: npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill negation-prose-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents redundant web searches by enforcing a strict hierarchy that prioritizes internal knowledge retrieval before external queries.

Core Features & Use Cases

  • Workflow Enforcement: Ensures the brain is queried as the primary source of truth.
  • Search Optimization: Reduces reliance on external search engines for information already contained within the local knowledge base.
  • Use Case: When investigating a technical topic, this skill forces the AI to check the local brain first, only falling back to web search if the internal context is insufficient.

Quick Start

Initiate a research task by asking the brain to search for your specific topic before considering any external web search.

Frequently Asked Questions about negation-prose

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

FAQPage Schema
How do I enforce local knowledge retrieval before web search in research workflows?

To optimize research workflows and reduce redundant web searches, enforce a strict hierarchy that prioritizes internal knowledge retrieval. Querying the local brain first maintains data consistency and prevents external search engine reliance when internal context is sufficient.

What is the best way to prevent redundant web searches during knowledge synthesis?

The best way to prevent redundant web searches during knowledge synthesis is to enforce a brain-first workflow. By mandating local brain queries before external web searches, you ensure the internal knowledge base is checked first, only falling back to the web if internal context is insufficient.

How do I maintain data consistency when investigating technical topics?

To maintain data consistency when investigating technical topics, prioritize internal context by enforcing hierarchical information retrieval. This workflow mandates local brain queries as the primary source of truth, preventing external data from overriding existing internal knowledge.

When should I use a brain-first search workflow instead of external search engines?

You should use a brain-first search workflow during research and knowledge synthesis tasks where data consistency is critical. It applies specifically when you need to prioritize internal context and check the local knowledge base before falling back to external search engines.