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Apply Elon Musk-inspired system design thinking for research, engineering, and business workflows: rigorously challenge requirements, delete steps, simplify/optimize what remains, accelerate iteration, then automate. Use when designing or revising systems, processes, or products that need lean, high-velocity execution.

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SKILL.md

name lean-systems-design
description Apply Elon Musk-inspired system design thinking for research, engineering, and business workflows: rigorously challenge requirements, delete steps, simplify/optimize what remains, accelerate iteration, then automate. Use when designing or revising systems, processes, or products that need lean, high-velocity execution.

Lean Systems Design (Musk-inspired)

Use this when shaping any system/process (product design, research workflow, ops runbook). Follow the sequence; do not skip ahead.

Quickstart

  1. State the objective, constraints, success measures, and current system sketch.
  2. Run the five-pass loop below in order; capture changes after each pass.
  3. Produce a concise plan and, if applicable, experiment/rollout steps.

Five-Pass Workflow (in order)

  • Pass 1 - Make requirements less dumb
    • List every requirement with the requestor's name; reject "dept says."
    • For each, ask: What outcome does this serve? Evidence? What if we drop/relax it?
    • Reframe into testable, minimal success criteria; delete or rewrite fuzzy items.
  • Pass 2 - Delete parts/processes
    • Enumerate components/steps; try to remove each. Target at least 10% removal.
    • For every kept step, name the accountable owner. If no owner, delete.
    • Ban "just in case" work; allow re-adding only with a concrete trigger.
  • Pass 3 - Simplify before optimizing
    • Merge steps, reduce variants/options, standardize interfaces, name single paths.
    • Collapse handoffs and approvals; prefer defaults over configuration.
    • If it shouldn't exist, don't polish it. Stop optimization of non-critical paths.
  • Pass 4 - Accelerate cycle time
    • Shorten feedback loops: smaller batch sizes, faster checkpoints, parallel where safe.
    • Define the fastest safe "learn loop" (build-measure-learn or design-test-review).
    • Add leading indicators to spot drift early.
  • Pass 5 - Automate last
    • Automate only stable, high-volume, well-understood steps.
    • Remove redundant in-process checks once end-quality is consistently high.
    • Keep a manual fallback and monitoring for automation drift.

Heuristics and Checks

  • Every requirement has a named owner and measurable outcome.
  • Any step without a failure mode it prevents is a deletion candidate.
  • Prefer subtraction over addition; default answer to "add a step" is no.
  • Bias to single paths over branching; branch only with explicit thresholds.
  • Fast loop beats perfect plan; ship thin slices to validate.

Deliverables to Produce

  • Crisp objective and success metrics.
  • Simplified system map (pre/post change) highlighting deletions.
  • Top risks and the shortest feedback loop to catch them.
  • Rollout/experiment plan with owners and timelines.