Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /cs:boardroom, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Attribution: Sourced from alirezarezvani/claude-skills by Alireza Rezvani.
Structured multi-agent deliberation that prevents groupthink, captures minority views, and produces clean, actionable decisions.
board meeting, executive deliberation, strategic decision, C-suite, multi-agent, /cs:board, founder review, decision extraction, independent perspectives
/cs:board [topic] — e.g. /cs:board Should we expand to Spain in Q3?
memory/company-context.mdmemory/board-meetings/decisions.md (Layer 2 ONLY — never raw transcripts)Chief of Staff selects relevant roles based on topic (not all 9 every time):
| Topic | Activate |
|---|---|
| Market expansion | CEO, CMO, CFO, CRO, COO |
| Product direction | CEO, CPO, CTO, CMO |
| Hiring/org | CEO, CHRO, CFO, COO |
| Pricing | CMO, CFO, CRO, CPO |
| Technology | CTO, CPO, CFO, CISO |
No cross-pollination. Each agent runs before seeing others' outputs.
Order: Research (if needed) → CMO → CFO → CEO → CTO → COO → CHRO → CRO → CISO → CPO
Reasoning techniques: CEO: Tree of Thought (3 futures) | CFO: Chain of Thought (show the math) | CMO: Recursion of Thought (draft→critique→refine) | CPO: First Principles | CRO: Chain of Thought (pipeline math) | COO: Step by Step (process map) | CTO: ReAct (research→analyze→act) | CISO: Risk-Based (P×I) | CHRO: Empathy + Data
Contribution format (max 5 key points, self-verified):
## [ROLE] — [DATE]
Key points (max 5):
• [Finding] — [VERIFIED/ASSUMED] — 🟢/🟡/🔴
• [Finding] — [VERIFIED/ASSUMED] — 🟢/🟡/🔴
Recommendation: [clear position]
Confidence: High / Medium / Low
Source: [where the data came from]
What would change my mind: [specific condition]
Each agent self-verifies before contributing: source attribution, assumption audit, confidence scoring. No untagged claims.
Executive Mentor receives ALL Phase 2 outputs simultaneously. Role: adversarial reviewer, not synthesizer.
Checklist:
Chief of Staff delivers using the Board Meeting Output format (defined in agent-protocol/SKILL.md):
Full stop. Wait for the founder.
⏸️ FOUNDER REVIEW — [Paste synthesis]
Options: ✅ Approve | ✏️ Modify | ❌ Reject | ❓ Ask follow-up
Rules:
/cs:board resumeAfter founder approval:
memory/board-meetings/YYYY-MM-DD-raw.mdmemory/board-meetings/decisions.md[DO_NOT_RESURFACE]memory/board-meetings/
├── decisions.md # Layer 2 — founder-approved only (Phase 1 loads this)
├── YYYY-MM-DD-raw.md # Layer 1 — full transcripts (never auto-loaded)
└── archive/YYYY/ # Raw transcripts after 90 days
Future meetings load Layer 2 only. Never Layer 1. This prevents hallucinated consensus.
| Failure | Fix |
|---|---|
| Groupthink (all agree) | Re-run Phase 2 isolated; force "strongest argument against" |
| Analysis paralysis | Cap at 5 points; force recommendation even with Low confidence |
| Bikeshedding | Log as async action item; return to main agenda |
| Role bleed (CFO making product calls) | Critic flags; exclude from synthesis |
| Layer contamination | Phase 1 loads decisions.md only — hard rule |
templates/meeting-agenda.md — agenda formattemplates/meeting-minutes.md — final output formatreferences/meeting-facilitation.md — conflict handling, timing, failure modesまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。