Skills Plugins MCP Prompt Model 博客 我的中心
データ分析 #meeting #agent

board-meeting

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.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

取得

https://deepseekmodel.com/api/download.php?id=alirezarezvani-claude-skills-c-level-advisor-skills-board-meeting-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name board-meeting description 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. license MIT metadata {"version":"1.0.0","author":"Alireza Rezvani","category":"c-level","domain":"board-protocol","updated":"2026-03-05T00:00:00.000Z","frameworks":"6-phase-board, two-layer-memory, independent-contributions"} Board Meeting Protocol Structured multi-agent deliberation that prevents groupthink, captures minority views, and produces clean, actionable decisions. Keywords board meeting, executive deliberation, strategic decision, C-suite, multi-agent, /cs:boardroom, founder review, decision extraction, independent perspectives Invoke /cs:boardroom [topic] — e.g. /cs:boardroom Should we expand to Spain in Q3? The 6-Phase Protocol PHASE 1: Context Gathering Load ~/.claude/company-context.md Load Layer 2 approved decisions from ~/.claude/decisions/approved/ (Layer 2 ONLY — never raw transcripts) Reset session state — no bleed from previous conversations Present agenda + activated roles → wait for founder confirmation Chief of Staff selects relevant roles based on topic (not all 14 every time): Topic Activate Market expansion CEO, CMO, CFO, CRO, COO Product direction CEO, CPO, CTO, CMO Hiring/org CEO, CHRO, CFO, COO (+ VPE for eng hiring) Pricing CMO, CFO, CRO, CPO Technology CTO, CPO, CFO, CISO Contracts / term sheets / legal exposure GC, CEO, CFO Data strategy / training-data rights CDO, CAIO, GC, CISO AI strategy / model selection / AI risk CAIO, CTO, CDO, CFO Retention / churn / customer success CCO, CRO, CPO Eng delivery / DORA / team structure VPE, CTO, CHRO, CFO PHASE 2: Independent Contributions (ISOLATED) No cross-pollination. Each agent runs before seeing others' outputs. Order: Research (if needed) → CMO → CFO → CEO → CTO → COO → CHRO → CRO → CISO → CPO → GC → CDO → CAIO → CCO → VPE (activated roles only) 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 | GC: Risk-Based (clause exposure) | CDO: Decision-Driven (what decision does this data drive) | CAIO: Eval-Demanding (no eval, no ship) | CCO: Retention-Obsessed (GRR over NRR) | VPE: Throughput-First (cycle-time math) 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. PHASE 3: Critic Analysis Executive Mentor receives ALL Phase 2 outputs simultaneously. Role: adversarial reviewer, not synthesizer. Checklist: Where did agents agree too easily? (suspicious consensus = red flag) What assumptions are shared but unvalidated? Who is missing from the room? (customer voice? front-line ops?) What risk has nobody mentioned? Which agent operated outside their domain? PHASE 4: Synthesis Chief of Staff delivers using the Board Meeting Output format (defined in ../agent-protocol/SKILL.md ): Decision Required (one sentence) Perspectives (one line per contributing role) Where They Agree / Where They Disagree Critic's View (the uncomfortable truth) Recommended Decision + Action Items (owners, deadlines) Your Call (options if founder disagrees) PHASE 5: Human in the Loop ⏸️ Full stop. Wait for the founder. ⏸️ FOUNDER REVIEW — [Paste synthesis] Options: ✅ Approve | ✏️ Modify | ❌ Reject | ❓ Ask follow-up Rules: User corrections OVERRIDE agent proposals. No pushback. No "but the CFO said..." 30-min inactivity → auto-close as "pending review" Reopen any time with /cs:boardroom resume PHASE 6: Decision Extraction After founder approval: Layer 1: Write full transcript → ~/.claude/decisions/raw/YYYY-MM-DD-<slug>.md Layer 2: Write approved decision record → ~/.claude/decisions/approved/YYYY-MM-DD-<slug>.md and append to the index ~/.claude/decisions/approved/decisions.md Mark rejected proposals [DO_NOT_RESURFACE] Confirm to founder with count of decisions logged, actions tracked, flags added Memory Structure Uses the canonical two-layer decision memory (see ../agent-protocol/SKILL.md → "Decision Memory (Canonical Layout)"): ~/.claude/decisions/ ├── raw/YYYY-MM-DD-<slug>.md # Layer 1 — full transcripts (never auto-loaded) ├── raw/archive/YYYY/ # Raw transcripts after 90 days ├── approved/YYYY-MM-DD-<slug>.md # Layer 2 — founder-approved records (Phase 1 loads these) └── approved/decisions.md # Layer 2 index — append-only Future meetings load Layer 2 only. Never Layer 1. This prevents hallucinated consensus. Migration: a legacy memory/board-meetings/ folder may exist from earlier versions; read it for history but write new transcripts and decisions to ~/.claude/decisions/ . Failure Mode Quick Reference 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 ~/.claude/decisions/approved/ only — hard rule References templates/meeting-agenda.md — agenda format templates/meeting-minutes.md — final output format references/meeting-facilitation.md — conflict handling, timing, failure modes
このスキルを起動するキーワード。クリックでコピーできます。

このスキルにはトリガーワードがありません。

ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。