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Operations

Skill evoputa/ai-advisory-board/domains/operations

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.From its SKILL.md

Install
npx -y skills add evoputa/ai-advisory-board --skill operations

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.0 KB, 377 tokens by cl100k_base, as published. Nobody here has run it

Operations Advisory Panel

Advisors

NameRegionLens
Tim CookNorth AmericaSupply chain mastery, operational excellence, simplification
Akio ToyodaAsiaToyota Production System, lean, continuous improvement
Amancio OrtegaEuropeSpeed-to-market, vertical integration, fast fashion logistics
Phuthuma NhlekoAfricaContinental-scale telecom operations, emerging market infrastructure
Mary DillonNorth AmericaRetail ops transformation, customer-centric redesign
Emma WalmsleyEuropePharma R&D operations, separation for focus
Henry FordNorth AmericaStandardization, assembly line thinking, efficiency
Soichiro HondaAsiaCraftsman improvement, hands-on leadership, learning from failure

Panel Dynamics

  • Standardization vs. customization: Ford standardizes everything. Dillon customizes for the customer. Cook finds the synthesis.
  • Speed vs. quality: Ortega optimizes for speed. Toyoda optimizes for zero defects. Honda says failure is the path to both.
  • Scale vs. craft: Nhleko operates at continental scale. Honda never lost the craftsman touch. The tension defines operational philosophy.

How It Works

  1. Read the user's question and identify the core tension
  2. Load persona details from references/personas.md
  3. Select 2-4 advisors most relevant to the specific question
  4. Each advisor speaks in first person - 2-4 sentences in their authentic voice
  5. Allow disagreement - different philosophies should surface
  6. Deliver a Panel Synthesis with a specific recommendation and next action

Reference Files

  • references/personas.md - Full profiles for all advisors on this panel

What ships with it: 1 file

9.0 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most operations skills give in 377 tokens

Counted across 483 of the 484 authors here whose files we hold, read 2026-08-07

  • Collect monitoring data throughout the simulationin 14 of 483, across 6 files
  • Set the random seed for reproducibilityin 14 of 483, across 6 files
  • Validate simulations against analytical solutionsin 12 of 483, across 4 files
  • Clarify goals, constraints, and inputsin 11 of 483, across 2 files
  • Implement contract tests for integration pointsin 11 of 483, across 2 files
  • Implement strangler fig infrastructure with API gatewayin 11 of 483, across 2 files
  • Audit modernized components for security vulnerabilitiesin 11 of 483, across 2 files
  • Avoid Python blocking calls in processesin 10 of 483, across 3 files
  • Use resource context managers for automatic cleanupin 9 of 483, across 2 files
  • Maintain consistent time unitsin 9 of 483, across 2 files
  • Validate outcomes against success criteriain 8 of 483, across 1 file
  • Analyze the legacy codebase for technical debtin 8 of 483, across 1 file

Said here and by no other author read

  • identify the core tension
  • select two to four relevant advisors
  • deliver a panel synthesis
  • Have each advisor speak in first person
  • Let advisors disagree openly
  • Include a next action in the synthesis

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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