multiAI Summary Pending
Board Meeting Prep
Generate complete board meeting packages — agenda, financial summary, KPI dashboard, risk register, and action item tracker.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/afrexai-board-meeting/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-board-meeting/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-board-meeting/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Board Meeting Prep Compares
| Feature / Agent | Board Meeting Prep | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate complete board meeting packages — agenda, financial summary, KPI dashboard, risk register, and action item tracker.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Board Meeting Prep Generate complete board meeting packages — agenda, financial summary, KPI dashboard, risk register, and action item tracker. ## What This Does Takes your company context and produces a ready-to-present board package that covers what directors actually care about: cash position, burn rate, revenue trajectory, key risks, and decisions needed. ## How to Use Tell the agent what you need: - "Prepare board materials for Q1 review" - "Generate a board deck covering last quarter's performance" - "Create an emergency board update on [situation]" ## Board Package Structure ### 1. Executive Summary (1 page max) - Company health: GREEN / YELLOW / RED - Cash position and runway (months) - Revenue vs plan (actual / forecast / variance) - Top 3 wins since last meeting - Top 3 risks requiring board attention - Decisions needed from the board ### 2. Financial Dashboard ``` METRIC | ACTUAL | BUDGET | VARIANCE | YoY Revenue | $___ | $___ | ___% | ___% Gross Margin | ___% | ___% | ___pp | ___pp Burn Rate | $___/mo | $___/mo | ___% | ___% Cash Position | $___ | $___ | $___ | — Runway | ___ mo | ___ mo | ___ | — CAC | $___ | $___ | ___% | ___% LTV | $___ | $___ | ___% | ___% LTV:CAC | ___x | ___x | ___ | ___ Net Revenue Ret. | ___% | ___% | ___pp | ___pp Headcount | ___ | ___ | ___ | ___ ``` ### 3. KPI Deep Dive **Revenue Breakdown** - By product line / segment - New vs expansion vs renewal - Pipeline coverage ratio (target: 3x) - Win rate trend (last 4 quarters) **Customer Health** - Total customers / net adds - Churn rate (logo + revenue) - NPS / CSAT scores - Top 5 accounts by ARR **Product & Engineering** - Features shipped vs planned - Technical debt ratio - Uptime / SLA performance - Roadmap progress (% on track) ### 4. Risk Register | # | RISK | LIKELIHOOD | IMPACT | MITIGATION | OWNER | STATUS | |---|------|-----------|--------|------------|-------|--------| | 1 | | L/M/H | L/M/H | | | Open/Mitigated | | 2 | | L/M/H | L/M/H | | | Open/Mitigated | | 3 | | L/M/H | L/M/H | | | Open/Mitigated | **Risk Categories:** - Market / competitive - Financial / cash flow - Operational / team - Regulatory / compliance - Technology / security - Customer concentration ### 5. Strategic Updates **Last Quarter Objectives — Scorecard** | OBJECTIVE | TARGET | ACTUAL | STATUS | |-----------|--------|--------|--------| | | | | ✅/⚠️/❌ | **Next Quarter Objectives** | OBJECTIVE | METRIC | TARGET | OWNER | |-----------|--------|--------|-------| | | | | | ### 6. Decisions Needed For each decision item: - **Context:** What happened and why this matters - **Options:** 2-3 paths with pros/cons - **Recommendation:** Management's preferred path - **Timeline:** When decision is needed by - **Financial impact:** Cost / revenue implications ### 7. Appendix - Detailed financials (P&L, balance sheet, cash flow) - Customer list changes (new logos, churned, expanded) - Hiring plan vs actuals - Cap table summary (if fundraising) - Competitive landscape update ## Agenda Template ``` BOARD MEETING AGENDA — [Company] — [Date] 1. Call to Order & Attendance (5 min) 2. Approval of Previous Minutes (5 min) 3. CEO Update & Executive Summary (15 min) 4. Financial Review (20 min) - P&L walkthrough - Cash position & runway - Budget variance analysis 5. KPI Dashboard & Metrics (15 min) 6. Product & Engineering Update (10 min) 7. Go-to-Market Update (10 min) 8. Risk Register Review (10 min) 9. Strategic Discussion: [Topic] (20 min) 10. Decisions & Votes (10 min) 11. Action Items & Next Meeting (5 min) 12. Executive Session (if needed) (15 min) TOTAL: ~2 hours 20 minutes ``` ## Pre-Meeting Checklist - [ ] Financial close complete (T-10 days) - [ ] KPI data pulled and verified (T-7 days) - [ ] Draft materials to CEO for review (T-5 days) - [ ] Final materials to board (T-3 days minimum) - [ ] Calendar invite with Zoom/location confirmed - [ ] Previous meeting action items status updated - [ ] Board portal updated (if applicable) - [ ] Consent agenda items distributed ## Post-Meeting - [ ] Minutes drafted within 48 hours - [ ] Action items assigned with deadlines - [ ] Follow-up materials sent to directors - [ ] Next meeting date confirmed ## Tips - Lead with the bad news. Boards hate surprises more than problems. - One page of insight beats ten pages of data. - Every metric needs context: vs plan, vs last quarter, vs industry. - If you need a decision, frame it clearly with options and a recommendation. - Send materials 3+ days early. Directors who read ahead ask better questions. --- Need industry-specific board templates? Check out the [AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/) — $47 each, covering Fintech, Healthcare, Legal, SaaS, and more. Each pack includes sector-specific KPIs, compliance requirements, and benchmarks your board expects to see. Calculate your AI automation ROI: [Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) Set up your first AI agent: [Setup Wizard](https://afrexai-cto.github.io/agent-setup/)