Agent skill
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:board, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.
Install this agent skill to your Project
npx add-skill https://github.com/alirezarezvani/claude-skills/tree/main/c-level-advisor/board-meeting
Metadata
Additional technical details for this skill
- author
- Alireza Rezvani
- domain
- board-protocol
- updated
- 1772668800
- version
- 1.0.0
- category
- c-level
- frameworks
- 6-phase-board, two-layer-memory, independent-contributions
SKILL.md
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:board, founder review, decision extraction, independent perspectives
Invoke
/cs:board [topic] — e.g. /cs:board Should we expand to Spain in Q3?
The 6-Phase Protocol
PHASE 1: Context Gathering
- Load
memory/company-context.md - Load
memory/board-meetings/decisions.md(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 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 |
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
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.
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:board resume
PHASE 6: Decision Extraction
After founder approval:
- Layer 1: Write full transcript →
memory/board-meetings/YYYY-MM-DD-raw.md - Layer 2: Append approved decisions →
memory/board-meetings/decisions.md - Mark rejected proposals
[DO_NOT_RESURFACE] - Confirm to founder with count of decisions logged, actions tracked, flags added
Memory Structure
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 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 decisions.md only — hard rule |
References
templates/meeting-agenda.md— agenda formattemplates/meeting-minutes.md— final output formatreferences/meeting-facilitation.md— conflict handling, timing, failure modes
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
business-growth-skills
4 business growth agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Customer success (health scoring, churn), sales engineer (RFP), revenue operations (pipeline, GTM), contract & proposal writer. Python tools (stdlib-only).
contract-and-proposal-writer
Contract & Proposal Writer
sales-engineer
Analyzes RFP/RFI responses for coverage gaps, builds competitive feature comparison matrices, and plans proof-of-concept (POC) engagements for pre-sales engineering. Use when responding to RFPs, bids, or proposal requests; comparing product features against competitors; planning or scoring a customer POC or sales demo; preparing a technical proposal; or performing win/loss competitor analysis. Handles tasks described as 'RFP response', 'bid response', 'proposal response', 'competitor comparison', 'feature matrix', 'POC planning', 'sales demo prep', or 'pre-sales engineering'.
customer-success-manager
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.
revenue-operations
Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization. Use when analyzing sales pipeline coverage, forecasting revenue, evaluating go-to-market performance, reviewing sales metrics, assessing pipeline analysis, tracking forecast accuracy with MAPE, calculating GTM efficiency, or measuring sales efficiency and unit economics for SaaS teams.
marketing-skills
42 marketing agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more coding agents. 7 pods: content, SEO, CRO, channels, growth, intelligence, sales. Foundation context + orchestration router. 27 Python tools (stdlib-only).
Didn't find tool you were looking for?