query

Query a knowledge base with 3-layer search and citation-backed answers.

Updated May 4, 2026
One-click install
npx skills add https://github.com/Postergully/11mirror-plugin --skill query-postergully
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query
Source: https://github.com/Postergully/11mirror-plugin/tree/main/skills/query
Command: npx skills add https://github.com/Postergully/11mirror-plugin --skill query-postergully

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Answers are produced by querying the brain's knowledge base with a 3-layer search, synthesis, and citation propagation, reducing hallucinations and increasing trust.

Core Features & Use Cases

  • Grounded responses: every claim is supported by a specific brain page slug.
  • Multi-hop reasoning: keyword, semantic, and relational queries surface relevant results.
  • Safe handling of gaps: explicit notes when the brain has no information.

Quick Start

Ask a question like 'What do we know about X?' to get a citation-backed answer from the brain.

Frequently Asked Questions about query

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

FAQPage Schema
How do I get cited answers from a knowledge base to prevent hallucinations?

To get cited answers and prevent hallucinations, query the knowledge base using a 3-layer search, synthesis, and citation propagation process. Every returned claim is grounded with a specific page slug, ensuring trust and reducing fabricated information.

What is the best way to search across structured data, SOPs, and playbooks?

The best way to search across structured data, SOPs, and playbooks is using multi-hop reasoning with keyword, semantic, and relational queries. This surfaces relevant results from the brain's content while respecting source precedence and resolving conflicts.

How do I retrieve information about specific people from a brain knowledge base?

To retrieve information about specific people, ask a direct question like 'What do we know about X?'. The query skill searches the brain's knowledge base and returns a citation-backed answer with explicit page slugs supporting each claim.

What happens when a knowledge base search finds no matching information?

When a knowledge base search finds no matching information, the system explicitly notes the gap and states that the brain has no information. This safe handling of gaps ensures you are aware of missing data instead of receiving fabricated or hallucinated responses.

Does multi-hop reasoning work for resolving conflicting information during retrieval?

Yes, multi-hop reasoning works for resolving conflicting information during retrieval. The query process respects source precedence while resolving conflicts, ensuring the synthesized answer reflects the most authoritative data backed by explicit citations.

Can I use grounded responses for lookups across structured brain content?

Yes, you can use grounded responses for lookups across structured brain content. The system is designed for questions, lookups, and information retrieval, enforcing grounding with explicit citations for every claim surfaced during the search.