시스템 사고에 대한 재사용 가능한 클로드 코드 기술, **AI + 시스템 사고 ** 코스 (Empatika, 시즌 2026) Bayram Annakov. Claude Code 플러그인 마켓 플레이스로 설치, Codex / ChatGPT / Cursor의 복사 패턴 mega-prompts로 실행할 수 있습니다.

이 과정은 핸즈온입니다: 참가자는 손으로 재고 흐름 다이어그램을 그릴 수 있으며, 라이브 멀티플레이어 시뮬레이션을 실행하고, critic, Builder 및 amplifier로 이러한 AI 기술을 사용합니다. 능력은 pedagogy : 그들은 당신을 위해 다이어그램을 그릴 것을 거부합니다.

사용 가능한 기술

/ai-systems-coach - 주식 흐름 다이어그램 비판 & 아치형 식별자 * (W2) *

** 당신은 도표를 그립니다. 기술 등급.**

Critiques a hand-drawn stock-flow / causal-loop diagram, system archetype(Limits to Growth, Shifting Burden, Fixes that Fail), 표면 메도우 레버 포인트를 식별합니다. Mermaid 다이어그램을 출력, 주식을 검증, 플래그 누락 지연, 워크샵 3 시뮬레이션을위한 깨끗한 재고 흐름 사양을 준비.

스크래치에서 다이어그램을 디자인하고, 변수를 입력하지 않았거나, 아카이브를 강제로 입력합니다.

예금:

Systems Thinking — Skills

Reusable Claude Code skills for systems thinking, drawn from the AI + Systems Thinking course (Empatika, Season 2026) by Bayram Annakov. Installable as a Claude Code plugin marketplace, also runnable as copy-paste mega-prompts in Codex / ChatGPT / Cursor.

The course is hands-on: participants draw stock-flow diagrams by hand, run live multiplayer simulations, and use these AI skills as a critic, builder, and amplifier — never as a designer. The skills enforce that pedagogy: they refuse to draw the diagram for you.

Available skills

/ai-systems-coach — Stock-flow diagram critic & archetype identifier (ships with W2)

You draw the diagram. The skill grades it.

Critiques a hand-drawn stock-flow / causal-loop diagram, identifies the system archetype (Limits to Growth, Shifting the Burden, Fixes that Fail), and surfaces Meadows leverage points. Outputs a Mermaid diagram, validates stocks, flags missing delays, prepares a clean stock-flow specification for Workshop 3 simulation.

Refuses to design a diagram from scratch, invent variables you didn’t name, or force-fit an archetype.

Example:

/ai-systems-coach

Stock: Active Customers
Inflow: New signups (driven by referrals from Active Customers)
Outflow: Churn (driven by Service Quality, which drops past Capacity)
R: Active Customers → Referrals → New signups → Active Customers
B: Active Customers → Service Quality (delay 2 weeks) → Churn → Active Customers

/leverage-finder — Map your model to Meadows’ 12 leverage points (ships with W4)

You bring a model and a goal. The skill returns 3 candidate interventions, ranked.

Takes a stock-flow model you have already built and a measurable goal you have already stated, then maps elements of your model to Donella Meadows’ 12 leverage points and returns the 3 highest-leverage candidate interventions for your goal.

The skill enforces the asymmetry lesson structurally: at least one of the 3 candidates must be at knob ≤5 (rules, info flow, goals, paradigm). Most teams reach for parameters (knob 12) first because they have numbers to tune; the skill forces you to consider stronger leverage you can’t see as easily.

Three structural rules:

1. Phase 0 gate — no measurable goal, no output. The skill refuses to rank leverage without a stated purpose. “Improve the system” gets pushed back with three sharpening questions.
2. No inventing structure — only maps stocks, flows, and parameters the model already contains. Won’t add elements the user didn’t draw.
3. Forced choice — returns exactly 3 candidates, not a long list. Forcing the choice is part of the discipline.