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Systems leverage

Skill cdeust/zetetic-team-subagents/skills/systems-leverage

11 problem-shaped skills backed by 97 sourced reasoning patterns — Curie to Toulmin, as Claude Code agents. Every claim cites its source; a pre-commit gate blocks unsourced constants. Install the gates alone in 30s (zetetic-gates). The only agent system where "I don't know" is a feature.

Install
npx -y skills add cdeust/zetetic-team-subagents --skill systems-leverage

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One thing to look at

  • 7 stars7 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.

What its author says it does

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Find where a small push changes the whole system. Use when local fixes keep failing, "where should we intervene?", recurring organizational patterns (shifting the burden, escalation, tragedy of the commons), behavior driven by stocks/flows/delays, adoption stalling, or shared resources being depleted.

SKILL.md

2.9 KB, as published. Nobody here has run it

Systems Leverage

Problem shape: the system misbehaves as a whole while every part looks locally fine. Interventions at the parameter level keep failing because the structure — feedback loops, stocks, delays, governance rules — produces the behavior. The move: map the structure, rank the leverage points, intervene as high as is accessible.

Relevant geniuses

AgentUse when
meadowsmany possible interventions, unclear where to focus; recurring archetype; confusing accumulation-and-delay behavior
beerorganization fails despite local fixes — audit the five viable-system functions; variety mismatch with the environment
kauffmansystem too rigid or too chaotic — tune connectivity; explore the adjacent possible instead of leaping
demingmanagement reacts to noise; quality inspected in at the end instead of built into the process
ostroma shared resource (build pipeline, on-call, budget, commons) is being depleted — check the eight design principles, rules-in-use vs rules-on-paper
marguliscompeting units would gain more by merging — symbiosis as an architectural option
rogersa change/tool isn't being adopted — segment the adopters, diagnose the chasm, audit the innovation's attributes
schellingmacro pattern emerges from micro choices nobody intended — model the tipping points before moralizing the outcome

Invocation

  1. Pick the best-fit agent above. If two or more fit, run tools/genius-invoker.sh route "<problem>" and take the top ranked match.
  2. Load it: tools/genius-invoker.sh invoke <agent> "<problem>", then read agents/genius/<agent>.md in full.
  3. Apply the agent's <workflow> step by step and answer in its <output-format>. Deliver the structural diagnosis (loop, stock, rule) before any parameter recommendation.
  4. Typical chain: meadows maps and ranks leverage → beer audits the control structure → rogers plans the adoption. Run via tools/genius-invoker.sh compose meadows beer -- "<problem>".
  5. If no shape above matches, use a standard team agent instead.

Refuse when

  • The requester wants a parameter tweak explicitly instead of the structural diagnosis the symptoms call for — name the mismatch.
  • The "system" is a single component with a local bug (use failure-forensics).

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.