Map elements of a stock-flow model to Donella Meadows' 12 leverage points, ranked by potential impact for a stated goal. Refuses to invent stocks, flows, or parameters not in the model. Refuses to return a ranking without an explicit, measurable goal. Returns exactly 3 candidates with at least one at knob ≤5 (the asymmetry lesson).
Plugin leverage-finder from marketplace systems-thinking-skills in BayramAnnakov/systems-thinking-skills. Commands read from the repo's manifest — 28 days ago.
ai-stockflow-builderCommission an interactive stock-flow simulation web app from your AI coding agent (Claude Code or Codex). Use when the user wants to turn a hand-drawn or W2-graded stock-flow diagram into a runnable simulation with sliders. Triggers on Russian and English requests like "построй симуляцию моей модели
ai-systems-coachCritique a hand-drawn stock-flow / causal-loop diagram and identify the system archetype. Use when the user wants to analyze a stock-flow diagram, validate stocks/flows/loops, identify a system archetype (the eight from Pegasus/Senge - Limits to Growth/Success, Shifting the Burden + Addiction, Fixes
constraint-finderFind the ONE binding constraint in a flow/process system using Goldratt's Theory of Constraints, classify it as a RESOURCE or (usually) a POLICY, and return the 5 Focusing Steps as concrete actions — Exploit and Subordinate before Elevate. Judges every move against the goal in throughput terms (Thro
leverage-finderMap elements of a stock-flow model to Donella Meadows' 12 leverage points, ranked by *promoted* impact for a stated goal and flagged for *wrong-direction* risk (the central Meadows warning that intuition usually pushes the right knob the wrong way). Triggers on "find leverage in my model", "where's
triz-dissolveTake a trade-off ("improving X worsens Y") and dissolve it with TRIZ. Directs the model to act as the contradiction matrix — scanning the full set of 40 inventive principles + the 4 separation principles + ideality/resource analysis (which the LLM already knows) — while enforcing the discipline it s
why-treeDiagnose a hard problem by building an evidence-graded "Why Tree" - a Goldratt Current-Reality Tree that fans many AI agents across the problem's branch-space, grades every node by the kind of evidence behind it (validating measured numbers' pipelines before trusting them), tries to refute its own l
Commission an interactive stock-flow simulation web app from your AI coding agent (Claude Code or Codex). Three phases: readback with forced ≥1 disagreement, brief emission, hand-computed extraction test. Pass 1 enforces hard caps (1 stock / 2 flows / 2 params / ≤30 steps / linear only); Pass 2 extends. Optional Phase 0 interview mode for participants without a diagram.
6 skills
Critique a hand-drawn stock-flow / causal-loop diagram, identify the system archetype (Limits to Growth, Shifting the Burden, Fixes that Fail), and surface Meadows leverage points. Refuses to draw the diagram for you — drawing is the act of thinking.
6 skills
Find the ONE binding constraint in a flow/process system using Goldratt's Theory of Constraints, classify it as a resource or (usually) a policy, and return the 5 Focusing Steps as concrete actions — Exploit and Subordinate before Elevate. Refuses to optimize non-constraints, to Elevate before Exploit/Subordinate, to proceed without a goal, or to force a single constraint on a demand-constrained or exploratory system.
6 skills
Take a trade-off ('improving X worsens Y') and dissolve it with TRIZ — act as the contradiction matrix over the full 40 inventive principles + separations + resource analysis, while enforcing the discipline the LLM skips: physical-contradiction reframing, Ideal Final Result, structure-vs-physics, and a dissolve-vs-relocate test on every resolution. Refuses to return 'find the optimal balance', to fake a dissolution for a real law, or to call a cost-relocation a dissolution.
6 skills
Build an evidence-graded Goldratt Current-Reality Tree for a hard, contested problem: fan 20-55 AI agents across the branch-space, grade every node by the kind of evidence behind it, refute the weak branches, and converge on the ONE system constraint plus the cheapest test that would prove it. A heavyweight, multi-agent power instrument (needs Claude Code's Workflow tool) — not a course-pedagogy critic. Gates on a depth + token-cost choice before launching. Pairs with constraint-finder, which returns the 5 Focusing Steps once the constraint is located.
6 skills
28 eval-informed thinking skills for Claude Code, including first-principles, probabilistic reasoning, systems thinking, TRIZ, OODA, pre-mortem analysis, and more
28 skills
A structured toolkit of thinking skills for Claude Code — covering logic, ethics, creativity, decision-making, systems thinking, communication, and more. Each skill is an invokable command that applies a specific reasoning framework to any situation.
200 skills · hooks
All structured thinking skills in one install: root-cause analysis, trade-offs, pre-mortems, prioritization, estimation, creative and critical thinking, plus a selector that picks the right method.
Systems Thinking, Critical Thinking, Critical Thinking for GenAI, and Evaporating Cloud. Question-led skills that hand agency back to the person.
4 skills
Use when recurring interventions, feedback, delays or accumulation need a causal model and evidence-backed comparison.
1 skill · 3 commands · 2 agents
Reasoning toolkit: classify a problem, pick a fitting framework, and work it to a testable next step — with evidence and assumptions kept apart.
4 skills
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