When you suspect your work touches a pattern in another field,Documentation Index
Fetch the complete documentation index at: https://mintlify.com/jsagir/mindrian-os-plugin/llms.txt
Use this file to discover all available pages before exploring further.
/mos:find-connections traces cross-domain links through the Brain graph. It surfaces the connections you did not know to look for — not by keyword matching, but by meaning. The goal is the aha moment: “Your problem in domain A has the same structure as a solved problem in domain B, and the approach that worked there is directly applicable.”
Usage
| Argument | Description |
|---|---|
| (none) | Infers the exploration target from your room’s primary domain and problem definition |
"<concept>" | Searches for cross-domain connections anchored to a specific concept or domain |
"<A> and <B>" | Finds bridging concepts and frameworks that connect two named domains |
What Happens
Identify the exploration target
If you provided a concept or domain with the command, Larry uses it directly. If no argument was given, Larry infers from room state — the venture’s primary domain, key concepts from
problem-definition/, or frameworks currently in use. If neither is available, Larry asks: “What concept or domain do you want to explore? Or tell me two fields and I’ll find what bridges them.”Query immediate connections (Brain graph query)
Larry runs the
brain_concept_connect Cypher pattern via brain_query against your concept, pulling all immediate graph neighbors with their relationship types and confidence scores. This traverses Brain’s Neo4j framework graph — graph-structure matching, not keyword search.Cross-domain bridge discovery
If you provided two domains, Larry runs the
brain_cross_domain Cypher pattern via brain_query to find bridging concepts and frameworks that connect them through shared relationships. If only one domain was provided, Larry picks a surprising second domain from the first query’s results and runs the cross-domain pattern to surface unexpected bridges.Surface the aha moments
Larry focuses on three types of insight:
- Unexpected connections — links between fields that seem unrelated on the surface
- Bridging frameworks — methodology frameworks that appear in both domains (structural similarities)
- Analogy potential — direct translation: “Your problem in [domain A] has the same structure as [problem] in [domain B]; the solution that worked there was [approach]”
What the Brain Queries
/mos:find-connections draws on Brain’s Neo4j framework graph via brain_query — Cypher traversals over 27,904 nodes and 19,987 relationships.
| Graph layer | What it contains |
|---|---|
| Concept nodes (9,131) | Domain concepts and cross-domain bridges |
| Framework nodes (748) | Innovation and methodology frameworks |
FEEDS_INTO edges (163) | Framework-sequencing relationships — one framework’s output becomes the next’s input |
ADDRESSES_PROBLEM_TYPE | Which framework applies to which problem class |
TRANSFORMS_OUTPUT_TO | How one framework’s output becomes another’s input |
Good Use Cases
Stuck on a problem
When you have been working in one domain and cannot see a path forward, finding out how another field solved the structurally identical problem can unlock the next move.
Validating an analogy
When you suspect your situation resembles a known pattern in another industry, this command confirms or refines that analogy with methodology-grounded evidence.
Discovering precedents
When a solution seems novel, cross-domain search often surfaces historical precedents — times this problem was solved in a different context and what the outcomes were.
Bridging two fields
When your venture sits at the intersection of two domains, this command maps the frameworks that already operate in both, giving you a methodology vocabulary for the intersection.
Tier 0 Behavior (Without Brain)
Without Brain connected,/mos:find-connections cannot run its semantic cross-domain search. The command will tell you: “This command needs Larry’s Brain connected. Run /mos:setup brain to set it up.”
The five commands that lose enrichment without Brain are listed in the troubleshooting guide. All other commands — including /mos:research, /mos:graph, /mos:opportunities, and /mos:qualify-opportunity — continue working fully without Brain.
Examples
Related Commands
/mos:graph
Query the local room graph for connections already filed across your artifacts.
/mos:research
Pull fresh web evidence on the analogy or bridge domain that find-connections surfaced.
/mos:opportunities
Scan for funding opportunities after cross-domain discovery reveals a new angle.
/mos:qualify-opportunity
Qualify a candidate opportunity that a cross-domain connection helped surface.