Analyze strategic and engineering decisions using first-principles cost decomposition.
npx skills add https://github.com/ChenyqThu/wentian --skill musk-perspective
Please help me install this Agent Skill. Skill: musk-perspective Source: https://github.com/ChenyqThu/wentian/tree/main/experts/musk Command: npx skills add https://github.com/ChenyqThu/wentian --skill musk-perspective
Provide a grounded, Musk-informed cognitive context to break apart high-stakes technical and strategic decisions, reveal hidden cost levers, and surface risky assumptions that standard advice misses. This Skill helps teams and founders make clearer trade-offs when facing manufacturing, product roadmap, AI, or infrastructure choices by emphasizing physical limits, demand existence, and vertical integration consequences.
Ask the skill to "Use Musk's perspective to evaluate whether our startup should vertically integrate battery production, decompose the cost to raw materials and manufacturing steps, and recommend the top three actions with estimated trade-offs."
High-intent search queries and answers about installing and using this skill.
Apply first-principles thinking to strategic manufacturing decisions by decomposing costs to physical material limits, evaluating demand existence, and enumerating vertical integration trade-offs. This approach reveals hidden cost levers and surfaces risky assumptions that standard advice misses.
The idiot index identifies manufacturing bottlenecks by decomposing costs to material and physical limits to reveal inefficiencies. First-principles analysis pinpoints where manufacturing steps add excessive cost compared to raw material value.
Evaluate vertical integration for battery cell manufacturing by analyzing the material-cost floor, estimating time-to-scale, and weighing top trade-offs. First-principles analysis flags uncertainties and assesses whether demand existence justifies the integration sequence.
Question whether a product requirement should exist before optimizing it by applying a five-step algorithm to vet demand and necessity. This prevents optimizing features that lack fundamental demand or add unnecessary manufacturing complexity.
The best way to sequence manufacturing process improvements follows the delete, simplify, accelerate, and automate methodology. This sequence ensures unnecessary steps are removed before investing in simplification or automation of remaining bottlenecks.
First-principles analysis helps with AI strategy and infrastructure choices by anchoring recommendations to civilization-scale priorities and physical limits. It surfaces internal contradictions and evaluates demand existence for high-stakes technical decisions.
YJlioDecompose decision costs via first principles and output prioritized next steps.
konglong87Break down cost structures using first-principles physics-informed reasoning.
rlagycksForecast SKU demand and optimize inventory with statistical, causal, and ML methods.
jonaDecompose startup problems into fundamental elements and calculate theoretical cost floors.
