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Zip 다운로드 다운로드 중... scan-result.raw.json 10.2 KB name war-room description Multi-LLM deliberation framework for strategic decisions through pressure-based expert consultation triggers war room, strategic decision, multi-expert, deliberation, council, convene experts, expert panel use_when complex decisions requiring multiple perspectives, architectural trade-offs, high-stakes choices do_not_use_when simple questions, routine tasks, single-path implementations model_preference claude-opus-4 category strategic-planning tags ["deliberation","multi-llm","strategy","decision-making","council"] dependencies ["conjure:delegation-core","memory-palace:strategeion"] tools ["Bash","Read","Write"] complexity advanced estimated_tokens 2500 progressive_loading true modules ["modules/reversibility-assessment.md","modules/expert-roles.md","modules/deliberation-protocol.md","modules/merkle-dag.md"] version 1.3.7
Table of Contents
War Room Skill
Orchestrate multi-LLM deliberation for complex strategic decisions.
Overview
The War Room convenes multiple AI experts to analyze problems from diverse perspectives, challenge assumptions through adversarial review, and synthesize optimal approaches under the guidance of a Supreme Commander.
Philosophy
"The trick is that there is no trick. The power of intelligence stems from our vast diversity, not from any single, perfect principle."
Marvin Minsky, Society of Mind
Reversibility-Based Routing
Before deliberation, assess the Reversibility Score (RS) to determine appropriate resource allocation:
RS = (Reversal Cost + Time Lock-In + Blast Radius + Information Loss + Reputation Impact) / 25
RS Range Type Mode Resources 0.04 - 0.40 Type 2 Express 1 expert, < 2 min 0.41 - 0.60 Type 1B Lightweight 3 experts, 5-10 min 0.61 - 0.80 Type 1A Full Council 7 experts, 15-30 min 0.81 - 1.00 Type 1A+ Delphi 7 experts, 30-60 min
Quick Heuristics:
Can be A/B tested? → Type 2
Requires data migration? → Type 1
Public commitment required? → Type 1A+
See modules/reversibility-assessment.md for full scoring guide.
When to Use
Architectural decisions with major trade-offs
Multi-stakeholder problems requiring diverse perspectives
High-stakes choices with significant consequences (RS > 0.60)
Novel problems without clear precedent
When brainstorming produces multiple strong competing approaches
When NOT to Use
Simple questions with obvious answers
Routine implementation tasks
Well-documented patterns with clear solutions
Time-critical decisions requiring immediate action
Type 2 decisions (RS ≤ 0.40) — use Express mode or skip War Room entirely
Expert Panel
Default (Lightweight Mode) Role Model Purpose Supreme Commander Claude Opus Final synthesis, escalation decisions Chief Strategist Claude Sonnet Approach generation, trade-off analysis Red Team Gemini Flash Adversarial challenge, failure modes
Full Council (Escalated) Role Model Purpose Supreme Commander Claude Opus Final synthesis Chief Strategist Claude Sonnet Approach generation Intelligence Officer Gemini 2.5 Pro Large context analysis (1M+) Field Tactician GLM-4.7 Implementation feasibility Scout Qwen Turbo Quick data gathering Red Team Commander Gemini Flash Adversarial challenge Logistics Officer Qwen Max Resource estimation
Deliberation Protocol
Two-Round Default Round 1: Generation
- Phase 1: Intelligence Gathering (Scout, Intel Officer)
- Phase 2: Situation Assessment (Chief Strategist)
- Phase 3: COA Development (Multiple experts, parallel)
- Commander Escalation Check
Round 2: Pressure Testing
- Phase 4: Red Team Review (all COAs)
- Phase 5: Voting + Narrowing (top 2-3)
- Phase 6: Premortem Analysis (selected COA)
- Phase 7: Supreme Commander Synthesis
Delphi Extension (High-Stakes) For high-stakes decisions, extend to iterative Delphi convergence:
Multiple rounds until expert consensus
Convergence threshold: 0.85
Integration
With Brainstorm War Room is AUTOMATICALLY INVOKED from Skill(attune:project-brainstorming) after Phase 3 (Approach Generation).
The brainstorm skill passes all context to War Room:
Problem statement and constraints
Generated approaches with pros/cons
Comparison matrix
Reversibility assessment (automatically calculated)
Bypass conditions (only if ALL true):
RS ≤ 0.40 (Type 2 decision - clearly reversible)
Single obvious approach with no meaningful trade-offs
Low complexity with well-documented pattern
User explicitly declines after seeing RS assessment
/attune:war-room --from-brainstorm
/attune:war-room "Should we use microservices or monolith for this system?"
With Memory Palace Sessions persist to the Strategeion (War Palace):
~/.claude/memory-palace/strategeion/
- war-table/ # Active sessions
- campaign-archive/ # Historical decisions
- doctrine/ # Learned patterns
- armory/ # Expert configurations
With Conjure Experts are invoked via conjure delegation:
conjure:gemini-delegation for Gemini models
conjure:qwen-delegation for Qwen models
Direct CLI for GLM-4.7 (ccgd or claude-glm --dangerously-skip-permissions)
Usage
Basic Invocation /attune:war-room "What architecture should we use for the new payment system?"
With Context /attune:war-room "Best approach for API versioning" --files src/api/**/*.py
Reversibility Assessment Only Quick assessment without full deliberation:
/attune:war-room "Database migration to MongoDB" --assess-only
Reversibility Assessment
========================
Decision: Database migration to MongoDB
Dimensions:
Reversal Cost: 5/5 (months of rework)
Time Lock-In: 4/5 (migration path hardens)
Blast Radius: 5/5 (all services affected)
Information Loss: 4/5 (query patterns, ACID)
Reputation Impact: 2/5 (internal unless downtime)
Reversibility Score: 0.80
Decision Type: Type 1A (One-Way Door)
Recommended Mode: Full Council
Proceed with full deliberation? [Y/n]
Force Express Mode (Type 2) Skip to rapid decision for clearly reversible choices:
/attune:war-room "Which logging library to use" --express
Force Full Council Override RS assessment for critical decisions:
/attune:war-room "Migration strategy" --full-council
Delphi Mode For highest-stakes irreversible decisions:
/attune:war-room "Long-term platform decision" --delphi
Resume Session /attune:war-room --resume war-room-20260120-153022
Output
Decision Document The War Room produces a Supreme Commander Decision document:
## SUPREME COMMANDER DECISION: {session_id}
### Reversibility Assessment
| Dimension | Score | Rationale |
|-----------|-------|-----------|
| Reversal Cost | X/5 | ... |
| Time Lock-In | X/5 | ... |
| Blast Radius | X/5 | ... |
| Information Loss | X/5 | ... |
| Reputation Impact | X/5 | ... |
**RS: 0.XX | Type: [1A+/1A/1B/2] | Mode: [delphi/full_council/lightweight/express]**
### Decision
**Selected Approach** : [Name]
### Rationale
[Why this approach was selected]
### Implementation Orders
1. [ ] Immediate actions
2. [ ] Short-term actions
### Watch Points
[From Premortem - what to monitor]
### Reversal Plan (for Type 1 decisions)
[If this decision proves wrong, here's the exit strategy]
### Dissenting Views
[For the record]
Session Artifacts
Intelligence reports
Situation assessment
All COAs (with full attribution after unsealing)
Red Team challenges
Premortem analysis
Final decision
Anonymization Expert contributions are anonymized during deliberation using Merkle-DAG:
Responses labeled as "Response A, B, C..." during review
Attribution revealed only after decision is made
Hash verification ensures integrity
See modules/merkle-dag.md for details.
Escalation
Automatic (Reversibility-Based) Deliberation mode is automatically selected based on Reversibility Score:
RS Score Automatic Mode ≤ 0.40 Express (bypass full War Room) 0.41 - 0.60 Lightweight panel 0.61 - 0.80 Full Council > 0.80 Full Council + Delphi
Manual Override The Supreme Commander may override automatic classification when:
High complexity detected (multiple architectural trade-offs)
Significant disagreement between initial experts
Novel problem domain requiring specialized analysis
Precedent-setting decision (future decisions will follow pattern)
Political/organizational sensitivity beyond technical scope
Escalation requires written justification with RS assessment.
De-escalation Equally important: identify decisions being over-deliberated:
If RS ≤ 0.40, recommend Express mode or immediate execution
Challenge "false irreversibility" ("we can't change this later" without evidence)
Track de-escalation rate as team health metric
Configuration
User Settings {
"war_room" : {
"default_mode" : "lightweight" ,
"auto_escalate" : true ,
"delphi_threshold" : 0.85 ,
"max_delphi_rounds" : 5
}
}
Hook Auto-Trigger War Room can be auto-suggested via hook when:
Keywords detected ("strategic decision", "trade-off", etc.)
Complexity score exceeds threshold (0.7)
User has opted in via settings
Related Skills
Skill(attune:project-brainstorming) - Pre-War Room ideation
Skill(imbue:scope-guard) - Scope management
Skill(imbue:rigorous-reasoning) - Reasoning methodology
Skill(conjure:delegation-core) - Expert dispatch
Related Commands
/attune:war-room - Invoke this skill
/attune:brainstorm - Pre-War Room ideation
/memory-palace:strategeion - Access War Room history
References
Strategic Foundations
Sun Tzu - Art of War (intelligence gathering)
Clausewitz - On War (friction and fog)
Robert Greene - 33 Strategies of War (unity of command)
MDMP - U.S. Army (structured decision process)
Gary Klein - Premortem (failure mode analysis)
Karpathy - LLM Council (anonymized peer review)
Reversibility Framework