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Large Language ModelsAI Coding AssistantsZenn AI/MLPublished: Oct 12, 2026, 22:00 JST

AI instruction sets should mirror a company org chart, essay argues

AI instruction sets should mirror a company org chart, essay argues

3 Key Points

  1. What happened

    An essay proposes mapping custom assets inside .github so copilot-instructions.md and instructions set policy from the top, skills pick and run tools from the bottom, and agents fill the middle layer.

  2. Why it matters

    The author, who has held this view for about a year and a half, says the missing middle layer between top-down and bottom-up assets is a layer users must define themselves.

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Context & Analysis

The essay is framed explicitly as an idea, not a tested result, so the org-chart mapping is a way of thinking rather than a finding. The author traces the view back roughly a year and a half, describing a chain in which the smartest AI directs several lesser AIs, which in turn direct more below them, until the ones at the end use tools, or algorithms. The argument is that companies have been optimized over a long time, so AI at scale may settle into the same shape.

Mapping assets onto that shape, the author places copilot-instructions.md at the top as the president, instructions just below it as fellow top-down thinkers, and skills as rank-and-file staff who reason from the bottom up. Skills are said to hold the criteria for choosing among tools, execute using those criteria, and sit above the algorithms at the very end of the instruction chain.

The unresolved piece is what sits between the top-down files and the bottom-up skills. The author calls this a middle layer that users must define, with agents fanning out through it in pyramid form, and admits the naming for it is still unsettled. Prompts are the part the author cannot place at all, given that any method written into a prompt is effectively a skill.

FAQ
What role does the author give agents in this setup?
Agents are meant to fill the gap between instructions and skills in a pyramid shape. A PM agent takes direction from copilot-instructions.md and instructions, then passes it to a team-leader agent, down to skills.
Why does the author doubt prompts have a place?
The author says prompts have no visible use case the way agents do. Writing a method in prompts makes it a skill, and having the AI judge for itself via skills and instructions seems better.
What naming change is the author considering?
The author currently calls the middle-layer folder structures and the criteria folder rules. Because structures does not convey its role well, the candidates are philosophy, middle, or hub.

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