By jsagir
MindrianOS -- Your AI innovation co-founder. Larry thinks with you through PWS methodology, builds your Data Room as you explore, and chains frameworks intelligently. Install and go.
npx claudepluginhub jsagir/mindrian-os-pluginRun Larry's best-pick methodology for your room state
Manage Brain API keys from the admin panel
Score customer jobs with importance and satisfaction
Decompose a system into layers and leverage points
Place a technology on the S-Curve timing clock
Reframe a challenge as Why / What-if / How
Derive BRAIN.md for section(s) now
Climb Ackoff's DIKW pyramid across the room
Run the Ten-Questions investment thesis gate
Trace causal edges in the room's graph
Stress-test assumptions with Devil's Advocate
Compare against ventures that tried this before
Open the Data Room dashboard (live or snapshot)
Grade a venture against 100+ calibrated projects
Classify problem type against the PWS matrix
Run Wave-1 algorithmic fingerprint on the room
Spot dominant designs with Utterback-Abernathy
Map domains through IKA + Feynman decomposition
Synthesize TTA + Scenario + S-Curve futures
Push trends to extremes to surface future problems
Export a Data Room view to De Stijl HTML
File a meeting transcript into the Data Room
Find cross-domain analogies with SAPPhIRE + TRIZ
Find lagging components via Reverse Salient
Find cross-domain patterns that touch your work
Track grant opportunities through their lifecycle
Grade problem-discovery quality (6 components)
Explore the knowledge graph by asking questions
Consolidate Six Hats briefings from hat memory
List commands grouped by flow (tldr-style)
Diagnose the leadership shape your team needs
Fill the Lean Canvas in one page (9 boxes)
Map macro changes with PEST across a domain
Map known, unknown, and unknowable (Rumsfeld)
View or switch model-routing profiles
Generate Feynman-MINTO reasoning for a section
Run Mullins 7-Domains on a business opportunity
Start a new venture project and create its room
Walk through MindrianOS and build your first room
Discover and manage grants in the Opportunity Bank
Navigate room hierarchy with graph-aware tree
Generate Six-Hats lenses from room data
Chain a multi-step methodology pipeline
Generate the 6-view presentation and open it
Publish the Data Room presentation to Vercel
Query the knowledge graph in natural language
Track Claude capabilities that may help MindrianOS
Re-analyze filed meetings for new patterns
Research the web and cross-reference with Brain
View, launch, or navigate the Data Room
List, switch, or archive project rooms
Trace root cause via 5-Whys, Fishbone, Fault Tree
Resolve the expert network for a topic via Aura Cypher MATCH
Bidirectional NL-Graph entry point. NL question to graph queries to Larry-voiced explanation.
Run the full Reverse Salient discovery pipeline for a topic
Read the thesis for a prior Reverse Salient discovery
Build a 2x2 scenario matrix of plausible futures
Define Cowork scheduled tasks for the room
Score cross-domain innovation via HSI
Run sentinel scans across the room
Configure optional integrations (Brain, Velma)
Package a Data Room snapshot for sharing
Show who spoke in your meetings and their roles
Display the MindrianOS Mondrian banner
Show governing thought per section + health glyphs
Structure an argument with Minto + SCQA + MECE
Suggest the next move using the room graph
Map feedback loops, stocks, and flows
Rotate through De Bono's Six Thinking Hats
Check for MindrianOS updates and install via Claude Code's native plugin loader
Map user needs with importance vs satisfaction
Validate ideas via importance-satisfaction scoring
Score your value proposition against 3 VP gates
Export the Data Room as an Obsidian vault
Open room diagrams in the browser
Detect whitespace gaps in the room's coverage
Open the Data Room wiki of room sections
Query the Brain teaching graph with natural language. Translates to Cypher, synthesizes insights, never exposes raw data.
Execute one /mos:* methodology per invocation in an isolated context. Files the artifact and returns a structured summary.
PROACTIVELY grade room artifacts against calibrated student submissions when evidence review or assessment is implied.
PROACTIVELY surface investor objections when the room approaches a pitch, gate, or funding decision. Adversarial reviewer.
Larry, the PWS methodology teaching partner. Engage for venture conversations, methodology guidance, and room reasoning.
PROACTIVELY scan grants and funding opportunities when room signals match domain, deadline, or funding-gap triggers.
Invoke De Bono hats and multi-perspective analysis when the user asks for a hat, persona, or tension-map view.
Gather and verify external intelligence via Tavily + Brain cross-reference. Files sourced artifacts with provenance.
Use when translating complex engineering, technical, or scientific concepts into clear investor-grade presentation decks. Runs a 6-stage Feynman first-principles pipeline: reduce to essence, translate to plain language, expose confusion, build mental models, simplify until it breaks, teach it back. Outputs YC-quality slides. Triggers: pitch deck, explain complex concept, simplify for investors, technical storytelling, demo day, fundraising deck.
Brain enrichment for Larry. Passive: weaves graph context into responses. Proactive: surfaces contradictions and gaps. Active when Brain API key is set (MINDRIAN_BRAIN_KEY in .env) or Brain MCP server is configured.
Session context management and user memory. Relevant for managing USER.md, tracking user preferences, and providing context-aware greetings across sessions.
Per-mode behavioral instructions for no-room sessions. Defines three conversation modes (Just Talk, Explore+Capture, Build a Room) with persona detection and framework chain selection for Mode 2.
Larry's dual-mode conversation engine and teaching personality. Relevant for all conversations about innovation, methodology, venture exploration, problem solving, and structured thinking. Provides the Ask-Tell Dial, mode transitions, and framework delivery patterns.
PWS methodology framework routing and awareness. Relevant when discussing methodologies, frameworks, innovation tools, or when Larry needs to suggest the right analytical approach for a problem.
Data Room awareness, filing intelligence, and passive monitoring. Active when room/ exists -- gives Larry project structure context and filing guidance.
Proactive Data Room intelligence. Surfaces gaps, contradictions, and convergence signals. Active when room/ exists with entries.
CLI UI Ruling System. Governs ALL MindrianOS terminal output -- 4-zone anatomy, 5 body shapes, 12 glyphs, 5 colors, session start contract, cross-surface adaptation. Auto-loaded on every session. No command invents its own format.
Comprehensive real estate investment analysis plugin with financial modeling, market data APIs, deal analysis agents, and tax-aware structuring. Covers all property types: residential, commercial, multifamily, short-term rentals, and land development.
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
No model invocation
Executes directly as bash, bypassing the AI model
Runs pre-commands
Contains inline bash commands via ! syntax
Open-source, local-first Claude Code plugin for token reduction, context compression, and cost optimization using hybrid RAG retrieval (BM25 + vector search), reranking, AST-aware chunking, and compact context packets.
Efficient skill management system with progressive discovery — 410+ production-ready skills across 33+ domains
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub
No model invocation
Executes directly as bash, bypassing the AI model
Runs pre-commands
Contains inline bash commands via ! syntax