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Board Meeting

CommunityPopular
alirezarezvani
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.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill nameboard-meeting
Stars
26.1K
Forks
3.7K
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Board Meeting AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-advisor/skills/board-meeting .claude/skills/board-meeting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Board Meeting in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Board Meeting on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Board Meeting is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

  1. Load ~/.claude/company-context.md
  2. Load Layer 2 approved decisions from ~/.claude/decisions/approved/ (Layer 2 ONLY — never raw transcripts)
  3. Reset session state — no bleed from previous conversations
  4. Present agenda + activated roles → wait for founder confirmation

Chief of Staff selects relevant roles based on topic (not all 14 every time):

TopicActivate
Market expansionCEO, CMO, CFO, CRO, COO
Product directionCEO, CPO, CTO, CMO
Hiring/orgCEO, CHRO, CFO, COO (+ VPE for eng hiring)
PricingCMO, CFO, CRO, CPO
TechnologyCTO, CPO, CFO, CISO
Contracts / term sheets / legal exposureGC, CEO, CFO
Data strategy / training-data rightsCDO, CAIO, GC, CISO
AI strategy / model selection / AI riskCAIO, CTO, CDO, CFO
Retention / churn / customer successCCO, CRO, CPO
Eng delivery / DORA / team structureVPE, 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

FailureFix
Groupthink (all agree)Re-run Phase 2 isolated; force "strongest argument against"
Analysis paralysisCap at 5 points; force recommendation even with Low confidence
BikesheddingLog as async action item; return to main agenda
Role bleed (CFO making product calls)Critic flags; exclude from synthesis
Layer contaminationPhase 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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Board Meeting AI skill do?

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.

Why use Board Meeting on TypingMind?

Because you install it once and use it with any model. Board Meeting is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Board Meeting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-advisor/skills/board-meeting. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Board Meeting?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Board Meeting?

As many as you like. As long as a model supports skills, you can use Board Meeting with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Board Meeting AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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