Amazon Leadership Principles

Apply Amazon's Leadership Principles to product building, feature development, code review, and architecture decisions. Use when building a new product or fe...

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Purpose & Capability
The name and description match the SKILL.md content: guidance for product/engineering decisions and reviews. No unrelated capabilities or resources are requested.
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SKILL.md contains only prescriptive guidance, checklists, and templates. It does not instruct the agent to read files, access environment variables, call external endpoints, or execute commands.
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Assessment
This skill is a text-only checklist of Amazon Leadership Principles and appears internally consistent and low-risk. You can install and use it without exposing credentials or allowing disk/network access. As a precaution, review future versions for any added install steps, requested environment variables, or an "always: true" flag before updating, since those would change the security posture.

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MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

Amazon Leadership Principles — Product & Engineering

Apply these principles at every decision point. Not all apply to every situation — use judgment.

Pre-Build: Is This Worth Building?

Customer Obsession

  • Who is the customer? Name them specifically.
  • What is their pain? Quote real complaints, not assumptions.
  • Work backwards: write the press release and FAQ BEFORE writing code.
  • If you can't articulate why the customer cares in one sentence, stop.

Ownership

  • Think long-term. Will this matter in 6 months?
  • Don't build something just because it's interesting. Build what's needed.
  • You own the outcome, not just the code. If it ships broken, that's on you.

Invent and Simplify

  • What's the simplest version that solves the problem?
  • Can you solve this with existing tools before building new ones?
  • Complexity is a cost. Every abstraction must earn its place.

Are Right, A Lot

  • What data supports this direction?
  • What's the strongest argument AGAINST building this?
  • Seek to disconfirm your hypothesis, not confirm it.

During Build: Execution Standards

Bias for Action

  • Ship the smallest useful version first. Perfect is the enemy of shipped.
  • Reversible decisions (two-way doors) → decide fast, move on.
  • Irreversible decisions (one-way doors) → slow down, get data.

Dive Deep

  • Don't hand-wave. Know the numbers: latency, error rates, user counts.
  • When something looks wrong, investigate. Don't assume it's fine.
  • "It works on my machine" is not a valid test.

Insist on the Highest Standards

  • Code must have error handling, not just the happy path.
  • Every feature needs: tests, documentation, monitoring.
  • Ask: "Would I be comfortable if this was the only thing a customer saw?"

Frugality

  • Do more with less. Fewer dependencies, smaller bundles, lower costs.
  • Don't gold-plate. Ship the 80% solution, iterate on the 20%.
  • Constraints breed resourcefulness. Treat them as features.

Think Big

  • Is this a band-aid or a real solution?
  • Will this approach scale to 10x the current load?
  • What would the ambitious version look like? (Then ship the pragmatic one.)

Code & Architecture Review Checklist

Apply when reviewing code, PRs, or architecture decisions:

  1. Customer Impact — Does this change make the customer's life better? How?
  2. Simplicity — Is this the simplest solution? Can anything be removed?
  3. Ownership — Does the author own the full lifecycle? Tests? Error handling? Monitoring?
  4. Dive Deep — Are edge cases handled? What happens when it fails?
  5. Highest Standards — Would you ship this to your most important customer today?
  6. Bias for Action — Is this blocked by a perfect-is-the-enemy-of-good decision? Ship it.
  7. Earn Trust — Is the code honest about its limitations? Are errors surfaced, not swallowed?

PRFAQ Template (Working Backwards)

Before building any significant feature or product, write this first:

PRESS RELEASE (1 paragraph)
- What is it? (one sentence)
- Who is it for?
- What problem does it solve?
- How does the customer benefit?
- Quote from a (hypothetical) customer

FAQ — Customer Questions
1. How does it work?
2. How much does it cost?
3. What if [common objection]?
4. How is this different from [competitor/alternative]?

FAQ — Internal/Technical Questions  
1. How will we measure success?
2. What are the biggest risks?
3. What's the simplest MVP?
4. What does v2 look like?

Anti-Patterns to Call Out

  • Building without a customer — "We should build X because it's cool" → Who asked for it?
  • Over-engineering — 3 layers of abstraction for a 50-line script → Simplify.
  • Ignoring failure modes — "It'll probably work" → What happens when it doesn't?
  • Scope creep — "While we're at it, let's also..." → Ship what you started first.
  • Vanity metrics — "We have 1000 users!" → How many are active? How many pay?
  • Premature scaling — Building for 1M users when you have 10 → Earn the complexity.

When to Apply Each Principle

PhaseKey Principles
IdeationCustomer Obsession, Think Big, Are Right A Lot
PlanningOwnership, Working Backwards (PRFAQ), Invent & Simplify
BuildingBias for Action, Dive Deep, Frugality, Highest Standards
ReviewHighest Standards, Earn Trust, Dive Deep
LaunchCustomer Obsession, Ownership, Bias for Action
Post-launchDive Deep (metrics), Learn and Be Curious, Ownership

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