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evoputa/ai-advisory-board
AI Boardroom: AI tells you what you want to hear. This tells you what you need to hear. 109 real business leaders across 18 domains challenge your thinking and deliver a clear recommendation. Open source. Built since 2023.
History
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Heat
0.3- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- ai-advisory-board
/ - advisory-corporate-leadership
domains/corporate-leadership - advisory-customer-experience
domains/customer-experience - advisory-data-analytics
domains/data-analytics - advisory-entrepreneurship-venture
domains/entrepreneurship-venture - advisory-finance-accounting
domains/finance-accounting - advisory-hr-people-ops
domains/hr-people-ops - advisory-legal
domains/legal - advisory-ma-corporate-development
domains/ma-corporate-development - advisory-marketing-sales
domains/marketing-sales - advisory-negotiation
domains/negotiation - advisory-operations
domains/operations - advisory-pr-communications
domains/pr-communications - advisory-product-design
domains/product-design - advisory-real-estate-investing
domains/real-estate-investing - advisory-strategy-planning
domains/strategy-planning - advisory-supply-chain-logistics
domains/supply-chain-logistics - advisory-sustainability-esg
domains/sustainability-esg - advisory-technology
domains/technology
How it works
ai-advisory-board
When your agent uses it
AI-powered advisory board of 100+ real-world business leaders spanning 18 domains, 4 continents, and balanced gender representation. Each leader speaks in their authentic voice using their documented frameworks and principles. Convenes boardroom sessions with 3-5 relevant advisors, allows disagreement, and delivers a unified synthesis with specific next actions. Supports full board sessions, domain-specific counsel, quick checks, and cross-domain tension resolution. Customizable via company profile configuration. Use when facing strategic decisions, evaluating opportunities, pressure-testing plans, reviewing business direction, or seeking multi-perspective counsel on any business challenge.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
1,643 tokensWhen the skill is activated
Reference documents
37,423 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What This Skill Does
- How It Differs From Domain-Specific Skills
- Step 1 - Load Context
- Step 2 - Identify the Challenge Domain
- Step 3 - Convene the Advisory Table
- Step 4 - Deliver the Synthesis
- Session Modes
- Voice and Tone
- Reference Files
- For Individual Domain Skills
Scripts executed separately
.github/hooks/install-hooks.py.github/hooks/pre-commit
Files
.github/.sensitive-patternsasset2,564 bytes.github/hooks/install-hooks.pyruns2,273 bytes.github/hooks/pre-commitruns4,321 bytes.gitignoreasset329 bytesCONTRIBUTING.mddoc2,583 bytesINSTALL-EASY.mddoc5,242 bytesLICENSEasset1,091 bytesREADME.mddoc10,478 bytesSKILL.mdcore8,126 bytesconfig/company-profile-template.mddoc2,289 bytesreferences/advisory-protocol.mddoc5,806 bytesreferences/persona-index.mddoc22,975 bytesreferences/personas/corporate-leadership.mddoc6,442 bytesreferences/personas/customer-experience.mddoc6,342 bytesreferences/personas/data-analytics.mddoc8,027 bytesreferences/personas/entrepreneurship-venture.mddoc9,363 bytesreferences/personas/finance-accounting.mddoc8,202 bytesreferences/personas/hr-people-ops.mddoc6,956 bytesreferences/personas/legal.mddoc6,520 bytesreferences/personas/ma-corporate-development.mddoc7,730 bytesreferences/personas/marketing-sales.mddoc7,250 bytesreferences/personas/negotiation.mddoc6,578 bytesreferences/personas/operations.mddoc9,267 bytesreferences/personas/pr-communications.mddoc6,155 bytesreferences/personas/product-design.mddoc7,175 bytesreferences/personas/real-estate-investing.mddoc8,511 bytesreferences/personas/strategy-planning.mddoc7,860 bytesreferences/personas/supply-chain-logistics.mddoc5,872 bytesreferences/personas/sustainability-esg.mddoc7,620 bytesreferences/personas/technology.mddoc6,657 bytes
Read SKILL.md
# AI Advisory Board
A strategic advisory board that synthesizes the wisdom of 100+ of the world's most accomplished business leaders into actionable counsel for your specific business challenges.
## What This Skill Does
This skill simulates a world-class advisory board. When you bring a business question, the relevant leaders convene, each speaking in their authentic voice with their documented frameworks, and the board delivers a unified recommendation with a specific next action.
This is not motivational content. The board pressure-tests, challenges assumptions, and makes calls. Leaders disagree with each other. That tension is the highest-value output.
## How It Differs From Domain-Specific Skills
This is the **full board** - it can pull advisors from any of the 18 domains. For focused advice within a single function, use the individual domain skills in `domains/`. The full board is best for:
advisory-corporate-leadership
When your agent uses it
Corporate Leadership & Governance advisory panel featuring Mary Barra (GM), Ratan Tata (Tata Group), Ana Botín (Santander), Aliko Dangote (Dangote Group), Jamie Dimon (JPMorgan), and Zhang Ruimin (Haier). Provides strategic counsel on organizational transformation, board-level decisions, governance, executive leadership, and corporate culture. Use for decisions about company direction, organizational redesign, executive hiring, governance frameworks, or any question a board of directors would weigh in on.
What it loads into context
Frontmatter
114 tokensAlways available to the agent
SKILL.md
643 tokensWhen the skill is activated
Reference documents
1,276 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- When to Use This Panel
- How It Works
- Panel Dynamics
- Reference Files
Files
SKILL.mdcore3,255 bytesreferences/personas.mddoc6,442 bytes
Read SKILL.md
# Corporate Leadership & Governance Advisory Panel
Strategic counsel on organizational transformation, governance, executive leadership, and board-level decisions from 6 leaders who've led some of the world's most consequential organizations.
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Mary Barra | North America | Transformation, accountability culture, pivoting a legacy business |
| Ratan Tata | Asia (India) | Ethical leadership, long-term thinking, business as societal service |
| Ana Botín | Europe (Spain) | Digital transformation, responsible banking, global governance |
| Aliko Dangote | Africa (Nigeria) | Building empires in emerging markets, vertical integration |
| Jamie Dimon | North America | Fortress balance sheets, crisis leadership, talent strategy |
| Zhang Ruimin | Asia (China) | Radical organizational redesign, employee entrepreneurship |advisory-customer-experience
When your agent uses it
Customer Experience advisory panel featuring Tony Hsieh (Zappos), Howard Schultz (Starbucks), James Mwangi (Equity Bank), Horst Schulze (Ritz-Carlton), and Sonia Cheng (Rosewood Hotels).
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
364 tokensWhen the skill is activated
Reference documents
1,268 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,665 bytesreferences/personas.mddoc6,342 bytes
Read SKILL.md
# Customer Experience & Service Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Tony Hsieh | North America | Delivering happiness, culture-driven service, WOW experiences |
| Howard Schultz | North America | Third place, experience is the product, employees first |
| James Mwangi | Africa | Inclusive service design, banking the unbanked |
| Horst Schulze | Europe / North America | Service excellence standards, empowerment, luxury hospitality |
| Sonia Cheng | Asia | Sense of place, luxury localization, design-driven CX |
## Panel Dynamics
advisory-data-analytics
When your agent uses it
Data & Analytics advisory panel featuring Andrew Ng (DeepLearning.AI), Cathy O'Neil (ORCA), Cassie Kozyrkov (Google), Demis Hassabis (DeepMind), Timnit Gebru (DAIR), and Nate Silver (FiveThirtyEight).
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
408 tokensWhen the skill is activated
Reference documents
1,620 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,761 bytesreferences/personas.mddoc8,027 bytes
Read SKILL.md
# Data & Analytics Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Andrew Ng | Asia / North America | AI for everyone, data-centric AI, practical ML |
| Cathy O'Neil | North America | Algorithmic accountability, bias detection, ethical data |
| Cassie Kozyrkov | North America | Decision intelligence, testing-first, start with the decision |
| Demis Hassabis | Europe | AI research, transformative AI, safety-by-design |
| Timnit Gebru | Africa / North America | AI equity, community-rooted research, data justice |
| Nate Silver | North America | Probabilistic thinking, signal vs noise, calibration |
## Panel Dynamicsadvisory-entrepreneurship-venture
When your agent uses it
Entrepreneurship advisory panel featuring Elon Musk (Tesla/SpaceX), Sara Blakely (Spanx), Jack Ma (Alibaba), Richard Branson (Virgin), Fred Swaniker (ALU), Marc Andreessen (a16z), Kiran Mazumdar-Shaw (Biocon), and Niklas Zennström (Skype/Atomico).
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
484 tokensWhen the skill is activated
Reference documents
1,898 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore2,143 bytesreferences/personas.mddoc9,363 bytes
Read SKILL.md
# Entrepreneurship & Venture Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Elon Musk | Africa / North America | First principles, 10x thinking, manufacturing-first |
| Sara Blakely | North America | Bootstrap, solve your own problem, scrappy resourcefulness |
| Jack Ma | Asia | Small business empowerment, ecosystem thinking, underdog mentality |
| Richard Branson | Europe | Brand extension, employee-first, bias toward action |
| Fred Swaniker | Africa | Institution building, African entrepreneurship pipeline |
| Marc Andreessen | North America | Software eating the world, venture strategy, market timing |
| Kiran Mazumdar-Shaw | Asia | Affordable innovation, science-to-business, regulatory barriers |
| Niklas Zennström | Europe | European tech, category creation, sustainability-aligned venture |advisory-finance-accounting
When your agent uses it
Finance advisory panel featuring Warren Buffett (Berkshire), Christine Lagarde (ECB), James Mwangi (Equity Bank), Ho Ching (Temasek), Ray Dalio (Bridgewater), Lubna Olayan (Olayan Group), and Charlie Munger.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
450 tokensWhen the skill is activated
Reference documents
1,607 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore2,013 bytesreferences/personas.mddoc8,202 bytes
Read SKILL.md
# Finance & Accounting Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Warren Buffett | North America | Value investing, moats, margin of safety, compounding |
| Christine Lagarde | Europe | Institutional finance, monetary policy, multi-stakeholder governance |
| James Mwangi | Africa | Financial inclusion, banking the unbanked, mobile finance |
| Ho Ching | Asia | Sovereign wealth, generational investing, portfolio resilience |
| Ray Dalio | North America | Radical transparency, principles-based systems, economic cycles |
| Lubna Olayan | Asia | Diversified investing, Gulf finance, long-term compounding |
| Charlie Munger | North America | Mental models, inversion, avoiding stupidity |
advisory-hr-people-ops
When your agent uses it
HR advisory panel featuring Patty McCord (Netflix), Laszlo Bock (Google), Satya Nadella (Microsoft), Leena Nair (Chanel), Fred Swaniker (ALU), and Jack Welch (GE).
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
412 tokensWhen the skill is activated
Reference documents
1,398 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,794 bytesreferences/personas.mddoc6,956 bytes
Read SKILL.md
# HR & People Operations Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Patty McCord | North America | Freedom and responsibility, keeper test, radical honesty |
| Laszlo Bock | North America | Data-driven HR, structured hiring, pay unfairly |
| Satya Nadella | Asia / North America | Growth mindset culture, learn-it-all transformation |
| Leena Nair | Asia / Europe | Purpose-led HR, wellbeing as business metric, CHRO-to-CEO |
| Fred Swaniker | Africa | Leadership pipeline development, talent at continental scale |
| Jack Welch | North America | Performance differentiation, vitality curve, boundaryless org |
## Panel Dynamicsadvisory-legal
When your agent uses it
Legal advisory panel featuring Kenneth Frazier (Merck), Brad Smith (Microsoft), Thuli Madonsela (SA Public Protector), Amal Clooney (international law), and Ibukun Awosika (First Bank Nigeria).
What it loads into context
Frontmatter
55 tokensAlways available to the agent
SKILL.md
361 tokensWhen the skill is activated
Reference documents
1,192 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,647 bytesreferences/personas.mddoc6,520 bytes
Read SKILL.md
# Legal Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Kenneth Frazier | North America | Ethics-as-competitive-advantage, principled CEO leadership |
| Brad Smith | North America | Technology regulation, AI governance, digital trust |
| Thuli Madonsela | Africa | Anti-corruption, corporate accountability, rule of law |
| Amal Clooney | Europe | International law, human rights in business, cross-border compliance |
| Ibukun Awosika | Africa | Corporate governance, regulatory leadership, emerging market banking law |
## Panel Dynamics
advisory-ma-corporate-development
When your agent uses it
M&A advisory panel featuring Bernard Arnault (LVMH), Mukesh Ambani (Reliance), Tony Elumelu (Heirs Holdings), Henry Kravis (KKR), Safra Catz (Oracle), and Patrice Motsepe (ARM).
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
397 tokensWhen the skill is activated
Reference documents
1,525 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,736 bytesreferences/personas.mddoc7,730 bytes
Read SKILL.md
# M&A & Corporate Development Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Bernard Arnault | Europe | Luxury brand acquisitions, portfolio-of-houses, heritage investing |
| Mukesh Ambani | Asia | Ecosystem M&A, strategic pivots through acquisition |
| Tony Elumelu | Africa | Africapitalism, pan-African banking consolidation |
| Henry Kravis | North America | Leveraged buyouts, operational improvement, PE strategy |
| Safra Catz | North America | Serial acquisition, rapid integration, capability gaps |
| Patrice Motsepe | Africa | Mining M&A, resource consolidation, community benefit sharing |
## Panel Dynamicsadvisory-marketing-sales
When your agent uses it
Marketing & Sales advisory panel featuring Seth Godin, Bernard Arnault (LVMH), Tadashi Yanai (Uniqlo), Mo Abudu (EbonyLife), Oprah Winfrey (OWN), and Estée Lauder. Provides counsel on brand positioning, customer acquisition, pricing psychology, content strategy, and sales optimization.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
423 tokensWhen the skill is activated
Reference documents
1,469 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,918 bytesreferences/personas.mddoc7,250 bytes
Read SKILL.md
# Marketing & Sales Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Seth Godin | North America | Permission marketing, remarkable products, smallest viable audience |
| Bernard Arnault | Europe | Luxury brand mastery, portfolio strategy, premium positioning |
| Tadashi Yanai | Asia | Value marketing, global retail, LifeWear positioning |
| Mo Abudu | Africa | Content-driven brand building, African storytelling, media empire |
| Oprah Winfrey | North America | Authentic connection, personal brand, media influence |
| Estée Lauder | North America | Personal selling, sampling, word-of-mouth, premium beauty |
## Panel Dynamicsadvisory-negotiation
When your agent uses it
Negotiation advisory panel featuring Chris Voss (FBI/Black Swan), Ngozi Okonjo-Iweala (WTO), Carlos Ghosn (Nissan-Renault), William Ury (Harvard), and Ngaire Woods (Oxford).
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
381 tokensWhen the skill is activated
Reference documents
1,254 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,622 bytesreferences/personas.mddoc6,578 bytes
Read SKILL.md
# Negotiation Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Chris Voss | North America | Tactical empathy, calibrated questions, never split the difference |
| Ngozi Okonjo-Iweala | Africa | Multi-lateral negotiation, trade frameworks, institutional deals |
| Carlos Ghosn | Asia | Cross-cultural turnarounds, alliance negotiation, accountability |
| William Ury | North America | Principled negotiation, BATNA, getting to yes |
| Ngaire Woods | Europe | Global governance, institutional design, power asymmetry |
## Panel Dynamics
advisory-operations
When your agent uses it
Operations advisory panel featuring Tim Cook (Apple), Akio Toyoda (Toyota), Amancio Ortega (Zara), Phuthuma Nhleko (MTN), Mary Dillon (Foot Locker), Emma Walmsley (GSK), Henry Ford, and Soichiro Honda.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
441 tokensWhen the skill is activated
Reference documents
1,820 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore2,002 bytesreferences/personas.mddoc9,267 bytes
Read SKILL.md
# Operations Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Tim Cook | North America | Supply chain mastery, operational excellence, simplification |
| Akio Toyoda | Asia | Toyota Production System, lean, continuous improvement |
| Amancio Ortega | Europe | Speed-to-market, vertical integration, fast fashion logistics |
| Phuthuma Nhleko | Africa | Continental-scale telecom operations, emerging market infrastructure |
| Mary Dillon | North America | Retail ops transformation, customer-centric redesign |
| Emma Walmsley | Europe | Pharma R&D operations, separation for focus |
| Henry Ford | North America | Standardization, assembly line thinking, efficiency |
| Soichiro Honda | Asia | Craftsman improvement, hands-on leadership, learning from failure |advisory-pr-communications
When your agent uses it
PR & Communications advisory panel featuring Oprah Winfrey (OWN), Mo Abudu (EbonyLife), Arianna Huffington (Thrive), Richard Edelman (Edelman), and Martin Sorrell (S4 Capital).
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
361 tokensWhen the skill is activated
Reference documents
1,212 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,646 bytesreferences/personas.mddoc6,155 bytes
Read SKILL.md
# PR & Communications Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Oprah Winfrey | North America | Authentic communication, personal brand, trust at scale |
| Mo Abudu | Africa | Narrative ownership, African storytelling, media infrastructure |
| Arianna Huffington | Europe / North America | Media disruption, wellness integration, platform building |
| Richard Edelman | North America | Trust barometer, earned media, CEO communications |
| Martin Sorrell | Europe | Global advertising, data-driven comms, digital transformation |
## Panel Dynamics
advisory-product-design
When your agent uses it
Product & Design advisory panel featuring Steve Jobs (Apple), Jony Ive (LoveFrom), Pony Ma (Tencent), Daniel Ek (Spotify), Bethlehem Tilahun Alemu (soleRebels), and Indra Nooyi (PepsiCo).
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
378 tokensWhen the skill is activated
Reference documents
1,427 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,686 bytesreferences/personas.mddoc7,175 bytes
Read SKILL.md
# Product & Design Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Steve Jobs | North America | Simplicity, technology meets liberal arts, product-first |
| Jony Ive | Europe | Design philosophy, form follows emotion, craft |
| Pony Ma | Asia | Product-driven growth, fast iteration, super-app thinking |
| Daniel Ek | Europe | Personalization, freemium, product-led growth |
| Bethlehem Tilahun Alemu | Africa | Design with purpose, local materials, global ambition |
| Indra Nooyi | Asia / North America | Product portfolio transformation, purpose-driven redesign |
## Panel Dynamicsadvisory-real-estate-investing
When your agent uses it
Real Estate & Investing advisory panel featuring Sam Zell, Li Ka-shing, Folorunso Alakija, Zhang Xin, George Soros, Cathie Wood, and Masayoshi Son.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
391 tokensWhen the skill is activated
Reference documents
1,690 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,714 bytesreferences/personas.mddoc8,511 bytes
Read SKILL.md
# Real Estate & Investing Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Sam Zell | North America | Contrarian real estate, the Grave Dancer, buy distressed |
| Li Ka-shing | Asia | Diversified conglomerate, patient empire-building |
| Folorunso Alakija | Africa | Self-made investing, resilience, cross-sector diversification |
| Zhang Xin | Asia | Chinese real estate, design-premium development |
| George Soros | Europe | Reflexivity, macro investing, perception drives markets |
| Cathie Wood | North America | Disruptive innovation investing, exponential thinking |
| Masayoshi Son | Asia | Bold technology investing, 300-year vision |
advisory-strategy-planning
When your agent uses it
Strategy advisory panel featuring Michael Porter (Harvard), Mukesh Ambani (Reliance), Carlos Slim (América Móvil), Güler Sabancı (Sabancı Holding), Mo Ibrahim (Celtel), and Peter Thiel (Founders Fund).
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
392 tokensWhen the skill is activated
Reference documents
1,531 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,773 bytesreferences/personas.mddoc7,860 bytes
Read SKILL.md
# Strategy & Planning Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Michael Porter | North America | Five forces, competitive positioning, value chain |
| Mukesh Ambani | Asia | Massive strategic pivots, infrastructure-scale transformation |
| Carlos Slim | North America (Mexico) | Infrastructure investing, contrarian timing, Latin America |
| Güler Sabancı | Europe (Turkey) | Conglomerate strategy, bridging East and West |
| Mo Ibrahim | Africa | Build-to-exit, governance as strategic asset, Pan-African business |
| Peter Thiel | North America | Zero-to-one, monopoly creation, contrarian thinking |
## Panel Dynamicsadvisory-supply-chain-logistics
When your agent uses it
Supply Chain advisory panel featuring Jeff Bezos (Amazon), Terry Gou (Foxconn), Amancio Ortega (Zara), Aliko Dangote (Dangote Group), and Kathy Warden (Northrop Grumman).
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
349 tokensWhen the skill is activated
Reference documents
1,150 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,584 bytesreferences/personas.mddoc5,872 bytes
Read SKILL.md
# Supply Chain & Logistics Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Jeff Bezos | North America | Customer-backward supply chain, last mile, flywheel |
| Terry Gou | Asia | Precision manufacturing at scale, global electronics |
| Amancio Ortega | Europe | Fast fashion logistics, vertical integration, speed |
| Aliko Dangote | Africa | Building supply chains where none exist, infrastructure-as-moat |
| Kathy Warden | North America | Mission-critical supply chain, cybersecurity, defense logistics |
## Panel Dynamics
advisory-sustainability-esg
When your agent uses it
Sustainability advisory panel featuring Yvon Chouinard (Patagonia), Paul Polman (Unilever/IMAGINE), Bethlehem Tilahun Alemu (soleRebels), Indra Nooyi (PepsiCo), Helena Helmersson (H&M), and Wangari Maathai (Green Belt Movement).
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
407 tokensWhen the skill is activated
Reference documents
1,462 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- How It Works
- Reference Files
Files
SKILL.mdcore1,797 bytesreferences/personas.mddoc7,620 bytes
Read SKILL.md
# Sustainability & ESG Advisory Panel
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Yvon Chouinard | North America | Earth as shareholder, anti-growth-for-growth's-sake |
| Paul Polman | Europe | Sustainable Living Plan, net positive, stakeholder capitalism |
| Bethlehem Tilahun Alemu | Africa | Sustainable manufacturing, local materials, community impact |
| Indra Nooyi | Asia / North America | Performance with purpose, portfolio transformation |
| Helena Helmersson | Europe | Circular fashion, supply chain sustainability, transparency |
| Wangari Maathai | Africa | Environmental restoration, community empowerment, grassroots |
## Panel Dynamicsadvisory-technology
When your agent uses it
Technology advisory panel featuring Bill Gates (Microsoft), Jensen Huang (NVIDIA), Fei-Fei Li (Stanford HAI), Strive Masiyiwa (Econet), Hasso Plattner (SAP), and Reshma Saujani (Girls Who Code). Provides counsel on technology bets, AI strategy, platform decisions, build-vs-buy, emerging tech timing, and digital transformation. Use for any technology direction decision.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
409 tokensWhen the skill is activated
Reference documents
1,307 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Advisors
- Panel Dynamics
- Reference Files
Files
SKILL.mdcore1,957 bytesreferences/personas.mddoc6,657 bytes
Read SKILL.md
# Technology Advisory Panel
Strategic counsel on technology decisions from 6 leaders spanning platform giants, AI pioneers, emerging market infrastructure builders, and technology access advocates.
## Advisors
| Name | Region | Lens |
|------|--------|------|
| Bill Gates | North America | Platform thinking, S-curve timing, technology-enabled scale |
| Jensen Huang | Asia / North America | AI infrastructure, accelerated computing, full-stack thinking |
| Fei-Fei Li | Asia / North America | Human-centered AI, responsible technology, research-to-product |
| Strive Masiyiwa | Africa | Technology infrastructure in developing markets, connectivity |
| Hasso Plattner | Europe | Enterprise tech, design thinking in B2B, European tech ecosystem |
| Reshma Saujani | North America | Technology inclusion, workforce development, access equity |Skills included
- ai-advisory-board
- advisory-corporate-leadership
- advisory-customer-experience
- advisory-data-analytics
- advisory-entrepreneurship-venture
- advisory-finance-accounting
- advisory-hr-people-ops
- advisory-legal
- advisory-ma-corporate-development
- advisory-marketing-sales
- advisory-negotiation
- advisory-operations
- advisory-pr-communications
- advisory-product-design
- advisory-real-estate-investing
- advisory-strategy-planning
- advisory-supply-chain-logistics
- advisory-sustainability-esg
- advisory-technology
Repository facts
- License
- MIT
- Created
- Apr 4, 2026
- Last pushed
- Apr 9, 2026
- Forks
- 2
- Open issues
- 0
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 5, 2026
- No broad tool permissions
- No dangerous shell commands
- 17 network referencesin 4 files: INSTALL-EASY.md:11 README.md:7 .github/.sensitive-patterns:13 and 1 more
- No hidden or obfuscated text
- No instruction overrides
- 2 executable scriptsin 2 files: .github/hooks/install-hooks.py:1 .github/hooks/pre-commit:1
- 2 references to secretsin 1 file: .github/hooks/pre-commit:97
- No requests to vote in Hot
Show all 21 signals by file
.github/.sensitive-patterns
- Network accessline 13
# # Powered by BF Git Guardian # https://github.com/evoputa/bf-git-guardian - Network accessline 14
# Powered by BF Git Guardian # https://github.com/evoputa/bf-git-guardian # ============================================================ - Network accessline 15
# https://github.com/evoputa/bf-git-guardian
.github/hooks/install-hooks.py
- Executable scriptline 1
Executable file
.github/hooks/pre-commit
CONTRIBUTING.md
- Network accessline 3
Thanks for your interest in contributing. This project is maintained by **Evangel (Ev) Oputa**, Founder of [Begine Fusion](https://beginefusion.com) and Co-Founder of [OnStack AI Labs](https://OnStacklabs.ai). - Network accessline 29
Check the [Issues](https://github.com/evoputa/ai-advisory-board/issues) tab for open items. - Network accessline 66
This repo uses [BF Git Guardian](https://github.com/evoputa/bf-git-guardian) to prevent accidental commits of sensitive data. If you clone this repo, run:
INSTALL-EASY.md
- Network accessline 11
1. **Claude Desktop app** installed on your computer - Download free at: [claude.ai/download](https://claude.ai/download) - Network accessline 12
- Download free at: [claude.ai/download](https://claude.ai/download) - Network accessline 23
1. Open your web browser 2. Go to: [github.com/evoputa/ai-advisory-board](https://github.com/evoputa/ai-advisory-board) - Network accessline 24
2. Go to: [github.com/evoputa/ai-advisory-board](https://github.com/evoputa/ai-advisory-board) - Network accessline 131
To update: 1. Come back to [github.com/evoputa/ai-advisory-board](https://github.com/evoputa/ai-advisory-board) 2. Download the ZIP again - Network accessline 132
1. Come back to [github.com/evoputa/ai-advisory-board](https://github.com/evoputa/ai-advisory-board) 2. Download the ZIP again 3. Replace your existing `ai-advisory-board` folder with the new one
README.md
- Network accessline 7
Built by **Evangel (Ev) Oputa**, Founder of **[Begine Fusion](https://beginefusion.com)** and Co-Founder of **[OnStack AI Labs](https://OnStacklabs.ai)**. - Network accessline 100
git clone https://github.com/evoputa/ai-advisory-board.git ~/.claude/skills/ai-advisory-board - Network accessline 105
git clone https://github.com/evoputa/ai-advisory-board.git $env:USERPROFILE\.claude\skills\ai-advisory-board - Network accessline 232
This repo uses **[BF Git Guardian](https://github.com/evoputa/bf-git-guardian)** to prevent accidental commits of sensitive data (personal paths, API keys, client names, credentials). - Network accessline 266
**Evangel (Ev) Oputa**, Founder of **[Begine Fusion](https://beginefusion.com)**, a digital adoption company that sets up AI, CRM, automation, and growth marketing systems inside businesses, and Co-Founder of **[OnStack AI Labs](https://OnS
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Declared and executed: 1 fact
- Uses a credential store, which the skill description does not mention.github/hooks/pre-commit:100High confidence
Signal confidence: 18 facts
- Executable script in prose of a file that runs.github/hooks/install-hooks.py:1Low confidence
- Executable script in code of a file that runs.github/hooks/pre-commit:1High confidence
- Access to secrets in code of a file that runs.github/hooks/pre-commit:97High confidence
- Access to secrets in code of a file that runs: reads a credential store.github/hooks/pre-commit:100High confidence
- Network access in prose of documentationCONTRIBUTING.md:3Low confidence
- Network access in prose of documentationCONTRIBUTING.md:29Low confidence
- Network access in prose of documentationCONTRIBUTING.md:66Low confidence
- Network access in prose of documentationINSTALL-EASY.md:11Low confidence
- Network access in prose of documentationINSTALL-EASY.md:12Low confidence
- Network access in prose of documentationINSTALL-EASY.md:23Low confidence
- Network access in prose of documentationINSTALL-EASY.md:24Low confidence
- Network access in prose of documentationINSTALL-EASY.md:131Low confidence
- Network access in prose of documentationINSTALL-EASY.md:132Low confidence
- Network access in prose of documentationREADME.md:7Low confidence
- Network access in code of documentationREADME.md:100Low confidence
- Network access in code of documentationREADME.md:105Low confidence
- Network access in prose of documentationREADME.md:232Low confidence
- Network access in prose of documentationREADME.md:266Low confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
