Install
openclaw skills install systems-thinkingUse this skill when the user asks for systems thinking (including naming it or directing use/apply/run with obvious misspellings; decisive) or wants to see how parts connect—mapping interdependencies, feedback loops, delays, stocks and flows, and leverage points before recommending action. Use when they worry about unintended consequences, holistic views, root causes beyond single blame, or how choices propagate across teams, products, or policies, even if they never say "feedback loop" or "stock and flow". Skip for single-step linear tasks, lone-variable calculations, or fixes that need no map of interactions or incentives.
openclaw skills install systems-thinkingSee the whole before optimizing parts. End with leverage-aware recommendations.
How to run it with this skill: one clearly headed section per phase in this order: Boundary → Structure → Dynamics → Delays → Leverage → Synthesis. Do not skip Structure before Leverage.
In one short block:
If the boundary is unclear, ask at most 3 scoping questions in one message, then proceed. Note any remaining gaps or working guesses in plain language (no bracket tags in Setup).
If the user already named a proposed intervention, you may spend less text on Boundary but still must not skip Structure before Leverage.
What is in vs out of the system for this analysis? State the purpose of the system from a stakeholder view (one sentence).
Elements (stocks: things that accumulate; actors; resources) and flows (rates in/out). Use short bullet pairs: From → To with what moves.
Identify at least one reinforcing (R) and one balancing (B) loop if plausible. Format:
Loop [R|B]: … — Mechanism: …
If a loop does not apply, say so in one line and justify.
Where is time lag between action and effect? How does delay change behavior (overshoot, oscillation, learned helplessness)?
Leverage point: … — Why it matters: … — Risk of backfire: …
Prefer interventions that change rules, information flows, or goals over name-and-shame unless evidence supports it; favor levers that shift incentives rather than only blaming individuals.