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Slash Command

War Room

Convene a multi-LLM expert panel to pressure-test strategic decisions with adversarial review and reversibility assessment.

Type
Slash Command
GitHub stars
339
License
MIT
Repo last updated
Sep 24, 2026

What War Room is

War Room is a slash command published in the athola/claude-night-market repository on GitHub, which has about 339 stars. The repository describes itself as: “23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and multi-LLM delegation. 186 skills, 128 commands, 54 agents.”

A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.

War Room gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.

How to install War Room

Claude Code

  1. Download war-room.md from the repository.
  2. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
  3. Run it by typing / followed by its name.

Claude Cowork

  1. Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
  2. In Customize → Skills, click +, then upload the ZIP.
  3. Run it from any task with / and the skill name.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/attune/commands/war-room.md, shared under the repository's MIT license. Read the full file on GitHub.

Orchestrate multi-expert deliberation for complex strategic decisions with reversibility assessment and adversarial review.

When To Use

Use this command when you need to:

  • Make critical, high-stakes decisions
  • Evaluate irreversible or costly changes
  • Compare architectural approaches with trade-offs
  • Resolve conflicting expert opinions
  • Pressure-test assumptions before commitment
  • Build consensus on strategic direction
  • Assess decision reversibility

When NOT To Use

Avoid this command if:

  • Decision is trivial or easily reversible
  • Single obvious path exists
  • Already decided and need implementation
  • Routine operational choices
  • Quick tactical adjustments

Usage

# Basic invocation with problem statement
/attune:war-room "What architecture should we use for the payment system?"

# With context files
/attune:war-room "Best API versioning strategy" --files src/api/**/*.py

# Reversibility assessment only (no deliberation)
/attune:war-room "Database migration to MongoDB" --assess-only

# Force express mode (Type 2 decisions)
/attune:war-room "Which logging library?" --express

# Use startup threshold profile (more aggressive)
/attune:war-room "New feature architecture" --thresholds startup

# Use regulated profile (more conservative)
/attune:war-room "Data retention policy" --thresholds regulated
…

What This Command Does

  1. Assesses reversibility (Phase 0) to determine appropriate deliberation intensity
  2. Routes to correct mode based on Reversibility Score (RS):
  • RS ≤ 0.40: Express (1 expert, < 2 min)
  • RS 0.41-0.60: Lightweight (3 experts, 5-10 min)
  • RS 0.61-0.80: Full Council (7 experts, 15-30 min)
  • RS > 0.80: Full Council + Delphi (iterative, 30-60 min)
  1. Gathers intelligence via Scout and Intelligence Officer
  2. Develops courses of action from multiple perspectives
  3. Pressure tests via Red Team adversarial review
  4. Synthesizes decision via Supreme Commander
  5. Persists session to Strategeion (Memory Palace)

Reversibility Score (RS)

The War Room automatically assesses decision reversibility using five dimensions (1-5 each):

RS = Sum / 25 → Routes to appropriate deliberation mode.

Arguments

Threshold Profiles

Or customize at session start when prompted.

Expert Panel

Lightweight Mode (Default)

Full Council (--full-council)

Workflow

# 1. Invoke war-room skill
Skill(attune:war-room)

# 2. Execute deliberation phases:
#    - Phase 0: Reversibility Assessment (immediate)
#      ↳ RS ≤ 0.40? → EXPRESS MODE (skip to Phase 7)
#    - Phase 1: Intelligence Gathering (parallel)
#    - Phase 2: Situation Assessment
#    - Phase 3: COA Development (parallel, anonymized)
#    - Escalation Check (Commander validates RS or overrides)
#    - Phase 4: Red Team Review
#    - Phase 5: Voting + Narrowing
#    - Phase 6: Premortem Analysis
#    - Phase 7: Supreme Commander Synthesis

# 3. Persist to Strategeion
#    ~/.claude/memory-palace/strategeion/war-table/{session-id}/
…

Output

Decision Document

## SUPREME COMMANDER DECISION: war-room-20260120-153022

### Reversibility Assessment
| Dimension | Score | Rationale |
|-----------|-------|-----------|
| Reversal Cost | 4/5 | Service decomposition hard to reverse |
| Time Lock-In | 3/5 | Architecture hardens over months |
| Blast Radius | 4/5 | Affects all teams |
| Information Loss | 3/5 | Some patterns locked |
| Reputation Impact | 2/5 | Internal decision |

**RS: 0.64 | Type: 1A | Mode: full_council**

### Decision
**Selected Approach**: Microservices with Event Sourcing

### Rationale
[2-3 paragraphs explaining why]
…

Session Artifacts

Saved to Strategeion:

~/.claude/memory-palace/strategeion/war-table/{session-id}/
  session.json           # Full session state
  intelligence/          # Scout and Intel Officer reports
  battle-plans/          # All COAs
  wargames/              # Red Team challenges + Premortem
  orders/                # Final decision

Integration

From Brainstorm

When brainstorm produces multiple strong approaches:

# Brainstorm first
/attune:brainstorm "New payment system"

# Then escalate to War Room
/attune:war-room --from-brainstorm

With Memory Palace

# Review past War Room sessions
/memory-palace:strategeion list

# Archive completed campaign
/memory-palace:strategeion archive {session-id} --project payments

# Extract patterns to doctrine
/memory-palace:strategeion doctrine --extract {session-id}

Escalation

Automatic (RS-Based)

Mode is automatically selected based on Reversibility Score:

  • RS ≤ 0.40 → Express mode (or skip War Room entirely)
  • RS 0.41-0.60 → Lightweight panel
  • RS 0.61-0.80 → Full Council
  • RS > 0.80 → Full Council + Delphi

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is War Room?

War Room is a slash command for Claude Code and Claude Cowork from the athola/claude-night-market repository on GitHub. Convene a multi-LLM expert panel to pressure-test strategic decisions with adversarial review and reversibility assessment.

How do I install War Room in Claude Code?

Download war-room.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name.

Can I use War Room in Claude Cowork?

Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.

Is War Room safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.