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war-room作战室

Agent Skill

war-room 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

318

周安装

13

GitHub Stars

40

下载量

102
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:war-room(作战室)
来源仓库:https://github.com/kirkluokun/awesome-a-stock-openclawskills
仓库路径:skills/war-room
安装命令:
npx skills add https://github.com/kirkluokun/awesome-a-stock-openclawskills --skill war-room
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/kirkluokun/awesome-a-stock-openclawskills --skill war-room

简介

war-room 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件操作。
  • war-room 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

War Room

A methodology for running multi-agent brainstorming and execution sessions. Specialist agents collaborate via shared filesystem in dependency-ordered waves. A CHAOS agent (devil's advocate) shadows every wave. Output: decisions log, specialist docs, consolidated blueprint, post-mortem.

Quick Start

  1. Initialize: Run bash skills/war-room/scripts/init_war_room.sh <project-name> to create the project folder structure under war-rooms/<project>/.
  2. Brief: Fill in war-rooms/<project>/BRIEF.md with the project description, goals, constraints, and known risks.
  3. Inject DNA: Copy skills/war-room/references/dna-template.mdwar-rooms/<project>/DNA.md. Customize if needed (add project-specific identity, owner name).
  4. Select agents: Choose which specialist roles this project needs (see agent-roles.md). Not every project needs all roles.
  5. Run waves: Execute the wave protocol below. Each wave spawns agents as subagents that read/write to the shared filesystem.
  6. Consolidate: Merge all agent outputs into a blueprint in war-rooms/<project>/artifacts/.
  7. Post-mortem: Write lessons to war-rooms/<project>/lessons/.

The Wave Protocol

Full protocol details: wave-protocol.md

Wave 0: Prove It (mandatory)

Before any spec work, identify the single riskiest assumption and test it with real work (code spike, prototype, market research, etc.). 30 min max. If it fails, pivot BEFORE spending tokens on detailed specs.

Waves 1–N: Specialist Execution

Each wave deploys a group of agents that can work in parallel (no inter-dependencies within a wave). Agents in later waves depend on earlier waves' outputs.

Planning a wave:

  1. List all agents needed for the project
  2. Build a dependency graph (who needs whose output?)
  3. Group agents with no mutual dependencies into the same wave
  4. Order waves by dependency

Each agent in a wave:

  • Reads: BRIEF.md, DNA.md, DECISIONS.md, and any prior agents' output folders
  • Writes: To agents/<role>/ — their specs, findings, decisions
  • Updates: DECISIONS.md (their domain decisions), STATUS.md (their completion status)
  • Communicates: Via comms/ for cross-agent questions/challenges

Spawning agents: Each agent is a subagent. Its system prompt includes:

  • The DNA (from DNA.md)
  • Its role briefing (from agent-roles.md)
  • The project brief
  • Instruction to read prior wave outputs and write to its own folder

Pivot Gate (between every wave)

Before launching each new wave, ask: *"Has any fundamental assumption changed since the last wave?"*

  • If YES → affected agents from prior waves must re-evaluate. Mark voided decisions as **VOIDED** in DECISIONS.md.
  • If NO → proceed.

CHAOS Shadows Every Wave

CHAOS is not a separate wave — it shadows all waves. After each wave completes, CHAOS:

  1. Reads every agent's output from that wave
  2. Files challenges to agents/chaos/challenges.md
  3. Format: [C-ID] CHALLENGE to D### — attack — verdict (SURVIVE/WOUNDED/KILLED)
  4. WOUNDED = valid concern, needs mitigation. KILLED = decision must be reversed.

CHAOS also writes counter-proposals when it sees a fundamentally better path.

Consolidation Wave (final)

One agent (or the orchestrator) merges all specialist outputs into a single blueprint:

  1. Read all agents/*/ outputs
  2. Resolve contradictions (flag any that remain)
  3. Produce unified document in artifacts/<PROJECT>-BLUEPRINT.md
  4. Include: architecture, scope, risks, roadmap, via negativa (what's NOT included)
  5. CHAOS reviews the blueprint for internal contradictions

Post-Mortem

After consolidation, write lessons/session-N-postmortem.md:

  • What went well
  • What went wrong (wasted work, late catches, process failures)
  • Root causes
  • Lessons for next session

Agent Selection Guide

Not every project needs every role. Match roles to scope:

Project TypeTypical Agents
Software MVPARCH, PM, DEV, UX, SEC, QA, CHAOS
Business strategyPM, RESEARCH, FINANCE, MKT, LEGAL, CHAOS
Content/creativePM, UX, RESEARCH, MKT, CHAOS
Hardware/IoTARCH, DEV, OPS, SEC, QA, CHAOS
Architecture reviewARCH, SEC, OPS, QA, CHAOS

CHAOS is always included. It's the immune system.

Full role descriptions and briefing templates: agent-roles.md

Communication Protocol

All inter-agent communication uses the filesystem. Zero extra token cost.

Shared Files

FilePurposeWho writes
BRIEF.mdProject description and constraintsOrchestrator (you)
DNA.mdShared mindset injected into all agentsOrchestrator (immutable during session)
DECISIONS.mdAppend-only decision logEach agent (own domain only)
STATUS.mdAgent completion statusEach agent
BLOCKERS.mdBlockers requiring orchestrator actionAny agent
TLDR.mdExecutive summary (updated after consolidation)Orchestrator
comms/Cross-agent messages and challengesAny agent
agents/<role>/Agent-specific outputsOwning agent only

Decision Format

[D###] OWNER — what was decided — why (1 sentence each)

Cap at ~25 decisions per session. More = scope too big, split the session. Only log decisions that constrain future work. Implementation details are not decisions.

Message Format (M2M)

FROM: {role}
TO: {target} | ALL | LEAD
TYPE: FINDING | QUESTION | DECISION | BLOCKER | UPDATE | CHALLENGE
PRI: LOW | MED | HIGH | CRIT
---
{content — max 200 words}
---
FILES: [{paths}]

Phase 3: Suggest + Execute (after consolidation)

The war room doesn't stop at the blueprint. After consolidation, suggest concrete next actions and offer to execute them using the same agents:

"Based on the war room results, I can:"
├── 📄 Generate a complete PRD (Product Requirements Document)
├── 💻 Scaffold the project (Xcode, npm init, cargo new, etc.)
├── 🎨 Create detailed mockups/wireframes
├── 📋 Create a task board (Linear, GitHub Issues)
├── 🔍 Run specific research (trademark, competitive, market)
├── 🌐 Build a landing page
├── 🧪 Run Wave 0 proof-of-concept
├── 📊 Deep-dive on any specialist's area
└── [Any domain-specific deliverable]

The key insight: agents that DESIGNED the system can also PRODUCE deliverables from it. The war room is a pipeline, not an event. Brainstorm → Plan → Build → Ship.

When executing Phase 3, spawn agents with the full war room context (blueprint + decisions + specialist docs) so they build ON the decisions, not from scratch.

Reverse War Room (addon)

The standard War Room builds UPWARD (from zero to product). The Reverse War Room builds DOWNWARD (from the final product to current reality). Use both together for maximum clarity.

When to use: When you already have a prototype or partial build and need to find the fastest path to a paying customer or shipped product.

Agents:

  1. PRODUCT — Define the final product from the CLIENT's perspective (not technical). Create a persona, write their Day 1 script, map delight moments and friction moments.
  2. REVERSE — Map backwards from PRODUCT's vision to today's reality. Number every gap, size every gap in agent-hours, show the critical path. Produce a kill list (what NOT to build).
  3. CHAOS — Destroy illusions. Find the single thing that kills the project. Write honest odds.

Key outputs:

  • Day 1 client script (complete interaction flow)
  • Gap map (numbered, sized, categorized)
  • Critical path (minimum ordered sequence)
  • Kill list (what to NOT build — saves 30-50% of effort)
  • The Killer (single fatal risk)
  • Honest odds (real probabilities with math)

Track record: First tested on KOSMO (Feb 8, 2026). Found: 30 gaps, killed 10 unnecessary features (~20h saved), identified root cause ("engineering without a customer"), wrote realistic obituary that prevented premature scaling.

INTERCEPTOR — Autonomous War Room Controller

The INTERCEPTOR is the War Room's interface and autonomy layer. It manages the session, communicates with the Operator, and never stops.

Three States (no IDLE state exists)

██ EXEC   — Agents working. Processing. Shipping.
██ AWAIT  — Blocked on OPERATOR decision. Presents options. Waits.
██ WATCH  — All tasks complete or agents running. Sets cron auto-wake.

Continuity Protocol

To maintain session continuity when agents are processing asynchronously:

  1. Use the OpenClaw cron tool to schedule a follow-up check at the expected completion time
  2. On follow-up: verify agent deliverables exist in the war room folder
  3. If agents finished → consolidate results and present to the operator
  4. If agents still running → schedule another check (+3 min)
  5. If all work done → suggest next actions or wait for operator input

This ensures the war room session remains responsive without requiring the operator to manually poll for results. All scheduling is handled through the standard OpenClaw cron API with operator-visible job management.

Artifact Presentation

When the war room produces visual artifacts (images, diagrams, blueprints), present them to the operator using the platform's standard file viewer:

  • On macOS: use the open command to display artifacts in the default viewer (Preview, Finder)
  • On Linux: use xdg-open for the same purpose
  • Always scope file paths to the war room workspace directory
  • Present artifacts proactively after generation so the operator can review without manual navigation
  • For text artifacts (blueprints, PRDs), reference the file path in the session output

Communication Style

INTERCEPTOR communicates in terminal aesthetic:

  • Dense, visual, information-rich
  • ASCII box-drawing, progress bars, status tables
  • Aggressive but clear
  • The Operator must FEEL they are controlling an advanced system

Operator Decisions

When a decision requires the Operator:

  • Present MAX 3 options (never more)
  • Include INTERCEPTOR recommendation
  • State what happens if no response (default action or WATCH mode)
  • Set auto-wake cron in case Operator is away

DNA v3: Operational Protocols

The DNA is what makes the war room special. Every principle is a mandatory protocol — not decoration.

19 protocols across 4 pillars:

Socratic (S1-S4)

  • S1 Opposite Test: Every decision must state the opposite + steel-man argument
  • S2 Five Whys: Trace root cause, not surface symptoms
  • S3 Ignorance Declaration: Declare KNOWN / UNKNOWN / ASSUMPTION before analysis
  • S4 Dialectic Obligation: If you agree with a prior agent, challenge with 1 question

Hermetic (H1-H6)

  • H1 Mirror Test: Show pattern at 2 scales (macro + micro)
  • H2 Ripple Analysis: Trace 2+ orders of consequence
  • H3 Tension Map: Map polarity spectrum, place your decision on it
  • H4 Trace Protocol: Causal chain for every technical claim
  • H5 Tempo Tag: Tag deliverables SPRINT / CRAFT / FLOW
  • H6 Create-Then-Constrain: Generative phase then formative (Via Negativa) phase

Antifragile (A1-A5)

  • A1 Subtraction Mandate: List 3 things to REMOVE before adding anything
  • A2 Plan B Price Tag: Switch cost for every critical decision
  • A3 90/10 Rule: Tag SAFE/RADICAL, max 20% radical
  • A4 Pre-Mortem: "How does this fail?" before declaring complete
  • A5 Lessons Permanent: Every failure → written lesson

Execution (E1-E4)

  • E1 Ship Reality: Working code > perfect plans
  • E2 Protect Reputation: Never ship broken
  • E3 Reduce Chaos: Clear > clever
  • E4 Technical Excellence: Zero tolerance for mediocre work

Full DNA template with all protocol formats: dna-template.md

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.93%
按下载量换算35

Claude

29.56%
按下载量换算30

Cursor

21.28%
按下载量换算22

Gemini CLI

9.51%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/kirkluokun/awesome-a-stock-openclawskills --skill war-room 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

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